Context:

• Data Solutions for Capital Markets IT (CMI) division which manages information systems for capital markets activities which includes Front Office (FO) booking platforms, Risk Management (RM) control and regulatory reporting systems, financial product and contract valuation systems, and much more.

Job Description:

• Contribute to IT initiatives for Antaes Asia clients.
• Delivery of comprehensive business analysis to provide solutions for business needs.
• Work with the project team including product owner, senior developers, architects, BA’s to deliver business requirements and improve business processes and systems.
• Work closely with stakeholders to define requirement and various artifacts around application development or enhancement.
• Specification of business rules for regulatory reporting, business operations and transformations.
• Functional design and testing of solutions.
• Maintenance and promotion of best practices around the data dictionary of the bank.
• Interaction with developers to define implementation specs
• Interaction with other IT teams to explain and communicate on Data services
• Assisting with the daily operations through Scrum, Jira and Kanban, techniques.
• Contribute to the promotion of Antaes services on top of assistance provided to clients.

Job Requirements:

• At least Bachelor’s Degree in Computer Science, Information Technology, Programming & Systems Analysis, Science (Computer Studies) or related Finance fields.
• At least 2 years of relevant experience (Data Solutions)
• Strong communication to bring consensus on requirements.
• Functional knowledge of financial products, capital market processes & regulatory reporting.
• Knowledge on the MIFID2/SFTR/EMIR / any APAC transaction regulatory reporting principles is desirable.
• Strong problem-solving skills with ability to think out of box.
• Excellent communications and proven documentation capabilities.
• Skilled in Data analysis using database queries (SQL/Oracle/Sybase), TSQL.

Job Description:

• Must be a Diploma/Bachelor's Degree holder.

• Hands-on implementation experience in building full-stack Restful web Applications.

• Experience in the following domain area/Technology/Programming languages

• Communication/Data Protocols: Modbus, OPC UA/AD, IEC 101/104, TCP/IP, SFTP, MQTT, AMQP

• Programming languages: JavaScript, Python, C/C++, SQL

• Experience in Linux, Docker, PostgreSQL, And Firewall management

• Experience in Code Management and Deployment

• Certified in Microsoft Technologies will be an added advantage

• Knowledge in Azure Devops, Azure IOT and Azure sphere will be an added advantage.

Roles and Responsibilities:

• The candidate will be responsible for designing and implementing data acquisition solutions and systems that meet the requirements of our clients.

• The successful candidate will be expected to have strong problem-solving skills and be able to troubleshoot and debug complex issues.

• The candidate will also be responsible for developing and maintaining documentation for solutions, including design specifications and test plans.

Company’s Profile

Our client, a security solutions provider has been established for more than 25 years, with a strong reputation in the industry. They specialize in delivering comprehensive turn-key security systems, from design and integration to maintenance and support and serve clients in government, trade and commercial sectors. They are now looking for Data Center Technicians to join their expanding team!

Location: Lakeside / Admiralty

Working hours: Monday to Friday, Office Hours

Responsibilities:

• Oversee building and data centre facilities: recording and reporting on the BMS / EMS / Fire D&P / Chiller / Electrical etc
• Administrator for preventative maintenance programs to ensure that equipment are properly serviced & maintained
• Maintain good documentation of facilities and / or equipment maintenance
• Prepare monthly SLA reports for equipment uptime, power usage & temperature readings
• Respond to emergency situation and be on 24x7 standby duty
• Prepared to be on 24x7 standby recall to provide extra manpower coverage when necessary
• Be involved in new data centre projects as well as renovation and maintenance to existing space
• Responsible to handle site inspections / audits by external authority (eg. HDB/LTA/NEA/FSB)
• Scheduling and tracking of servicing jobs and vendor management on a day to day basis
• Maintain high customer service level standards
• Managed all facilities contracts

Requirements:

• Min. Diploma in Building / Facility Management or any other related field
• Some relevant experience in Data Centre facility management and vendor management is a good bonus
• Good knowledge in building technology, mechanical and electrical services and facilities management

Your recruiter for this job: WhatsApp Celine @ 6421 4966 for a quicker response.

Connect with me on LinkedIn: www.linkedin.com/in/your-recruiter-celine-chan

Celine Chan | R21103433

Talentsis Pte Ltd | EA No: 20C0312

Process the day-to-day operations to:

• support document management, data maintenance
• meet agreed SLA, and Staff Efficiency & Productivity targets

Responsibilities

BAU

• perform document and data extraction
• prepare letter/email draft for sign off
• maintain registers
• liaise and follow up with business units

Administration

• ensure the smooth and efficient day-to-day operations
• perform general clerical functions (including data maintenance, filing documents)

Requirements

• a diploma in any field
• banking experience in similar capacity preferred
• AML knowledge is advantageous
• independent, able to work with minimum supervision
• detailed and meticulous

POSITION SUMMARY:

This role is responsible for building and maintaining a robust data foundation to drive commercial growth, operational excellence, and data consolidation within the region. Reporting to the Senior Lead, Data & Analytics and collaborating closely with the Corporate team, you will be instrumental in designing, developing, and implementing data pipelines, data models, and AI algorithms to optimize commercial performance, improve forecasting, enhance supply chain visibility, and reduce data redundancy.

The overarching objective is to transform data into actionable insights to drive business growth and efficiency. You will work closely with cross-functional teams across the region to establish and streamline data processes, ensuring data quality and consistency. Your role will involve managing and optimizing diverse data sources, including sales, marketing, supply chain, finance, customer, and operational data, to derive actionable insights for business decision-making. By harnessing the power of data and AI, you will contribute to defining the future of customer experience and driving overall business success.

KEY RESPONSIBILITIES:

• Design, develop, and maintain efficient data pipelines to extract, transform, and load data from various sources, including ERP, CRM, supply chain systems, third-party platforms, e-commerce platforms (via APIs), and omnichannel engagement platforms into a centralized data warehouse and on-premise systems.
• Identify opportunities to consolidate data sources and reduce redundant data subscriptions, including from omnichannel engagement platforms.
• Develop and maintain a data catalogue to improve data accessibility for commercial teams and enhance data-driven insights from omnichannel customer journeys.
• Create and manage master data related to products, customers, suppliers, inventory, and third-party data to ensure data consistency and accuracy for commercial analysis and data consolidation efforts, including data from omnichannel engagement platforms.
• Develop and implement data models to support sales forecasting, customer segmentation, pricing optimization, and other commercial initiatives while aligning with the company's data consolidation strategy and leveraging data from omnichannel engagement platforms.
• Build and maintain a scalable and secure data infrastructure to accommodate increasing data volumes and variety to support commercial growth, data centralization, and integration of omnichannel engagement data across both cloud and on-premise environments.
• Collaborate with commercial teams and other departments to identify data-driven opportunities, including leveraging third-party data insights and data from omnichannel engagement platforms, and translate business requirements into actionable data solutions that contribute to data consolidation.
• Develop and implement a strategy to create a unique customer identifier across all omnichannel touchpoints.
• Identify and prioritize new data sources within the region, including data from emerging omnichannel engagement platforms, to enhance commercial intelligence and support business growth while considering opportunities for data consolidation and cost reduction.
• Conduct exploratory data analysis, including analysis of third-party data and data from omnichannel engagement platforms, to identify patterns and trends that can drive revenue growth, improve profitability, and inform data consolidation efforts.
• Ensure data quality and integrity, including validation of third-party data and data from omnichannel engagement platforms, through data profiling and cleansing to support accurate commercial reporting and data consolidation initiatives.
• Optimize data pipelines and query performance to handle diverse data sources, including data from omnichannel engagement platforms, efficiently and enable timely commercial insights while maximizing data utilization across both cloud and on-premise environments.
• Provide technical support to commercial teams and data analysts in utilizing data-driven insights, including those from omnichannel engagement platforms, to improve business performance and contribute to data consolidation goals.
• Collaborate with the Corporate team on data strategy, standards, and best practices to align regional data initiatives with overall commercial objectives, data consolidation efforts, and the effective utilization of omnichannel engagement data.
• Design, develop, and deploy AI models on-premise to address data privacy and security concerns.
• Manage data governance and compliance requirements for both cloud and on-premise data environments.

KEY REQUIREMENTS:

• Bachelor's degree in Computer Science, Statistics, Mathematics, or a related field.
• At least 3 years of experience in data engineering, including data ingestion, transformation, and modeling, with a focus on integrating diverse data sources across cloud and on-premise environments. Experience with pharmaceutical industry data and regulations is a plus.
• Strong proficiency in SQL and data warehousing concepts for both cloud and on-premise platforms.
• Experience with Python for data manipulation and analysis, including API integration and model development.
• Experience with on-premise data management and security best practices.
• Understanding of cloud-based data platforms (e.g., AWS, GCP, Azure) and on-premise data infrastructure. Experience in Google Cloud Platform is preferred.
• Knowledge of supply chain management principles and processes is preferred.
• Able to process datasets in Mandarin language, and to interact and work closely with Mandarin- speaking stakeholders.
• An innovative mindset combined with an agile way of working and adaptability to a fast-paced environment.
• Strong analytical and problem-solving skills.
• Strong documentation skills.
• Excellent communication and interpersonal skills - Ability to communicate with both technical and business teams.
• Strong time management and organizational skills - Ability to manage multiple projects and prioritize tasks.
• Attention to detail and accuracy.
• Ability to work effectively both independently and as part of a team - Ability to work cross-functionally and across local markets within APAC region.
• Able to commit for 1 year contract.

We are seeking a skilled AWS Data Engineer to join our team and support our data initiatives within the Singapore Public Sector. The ideal candidate will have extensive experience in ETL processes, data loading, and data management using AWS services.

Responsibilities

• Perform end-to-end data loading using AWS Glue and Lake Formation.
• Develop and manage ETL workflows using AWS Lambda, Step Functions, PySpark, and Python scripts.
• Load data into AWS RDS and manage data storage in S3 Buckets.
• Provide data for BI reporting using Tableau, leveraging data from S3 Buckets and RDS.
• Implement and manage AIML workflows in AWS using SageMaker, including model building and deployment.
• Utilize AWS Bedrock for advanced data processing and analytics (knowledge and experience with AWS Bedrock is a plus).
• Install and configure native AWS services as required.

Requirements

• Proven experience with AWS Glue, Lake Formation, Lambda, Step Functions, PySpark, and Python.
• Strong understanding of AWS RDS, S3 Buckets, and data management best practices.
• Experience with BI reporting tools, particularly Tableau.
• Familiarity with AIML workflows and model building using AWS SageMaker.
• Knowledge of AWS Bedrock is a plus.
• Experience with the installation and configuration of AWS native services is a plus.
• Excellent problem-solving skills and attention to detail.
• Strong communication and collaboration skills.

Preferred Experience

• Previous experience working within the public sector.
• AWS certifications related to data engineering and machine learning.

About Cognizant

Cognizant (NASDAQ-100: CTSH) is one of the world's leading professional services companies, transforming clients' business, operating and technology models for the digital era. Our unique industry-based, consultative approach helps clients envision, build and run more innovative and efficient businesses. Headquartered in the U.S., Cognizant is ranked 195 on the Fortune 500 and is consistently listed among the most admired companies in the world. Learn how Cognizant helps clients lead with digital at www.cognizant.com or follow us @Cognizant.

Responsibilities :

• Understands the commercial cost/financial/budget impact of decisions to be taken, for any products/solutions to be developed, considering the overall impact to a customer proposal and recommending the appropriate solutions

• Participate in deep architectural discussions to ensure solutions are designed for successful deployment.

• Design of solution offerings including services, support, training (classroom, roundtables, webinars). Detail definition of Solution Components, Scope of Work, Deliverables, Effort Sizing and Pricing.

• Implementation planning and delivery for Proof Of Concepts (POC), Migration Services & Deployment Services.

• Work closely with the Sales team to provide full presales assistance in support of the successful achievement of sales targets while adhering to cost of sales objectives

• Self-sufficiency in leading pre-sales activities aiming to close sales opportunities.

• Achieving reliable, timely and high-quality design and deployment work.

• Any other duties as assigned by management.

Requirements :

• Minimum 2 years of hands-on experience as a consultant with pre-sales and implementation experience.

• Minimum 3 years of solution design and/or hands-on implementation experience as a Systems Engineer.

• Wide expertise of ICT field and systems, network, storage, virtualization, and/or security.

• Experience in building and migrating applications, software and services.

• Direct experience with Cisco routing/switching, wireless LAN controller, software defined Network, Load balancer (Netscalers).

• Motivated, self-starter, with strong presentation, communication, problem solving skills.

• Ability to address, persuade and interact with senior and executive level positions as well as all levels of system end-users.

• Knowledge of Competitive Products & Technology.

• In-depth knowledge of Implementation methodologies and best practices.

Qualification :

• University Degree in Computer Science or Computer Engineering or related field.

• At least 2 years’ experience in major IT Integration / User Interaction projects involving the whole business process.

• Fluency in English.

Working Location : East Central

**We regret that only shortlisted candidates will be notified. Personal data collected will be used for recruitment purposes**

about company

I am currently working with a software consultancy firm that provides premium software development and strategy expertise to a wide spectrum of clients. Projects are about Gaming/Gambling/Blockchain.

Salary structure: Base + AWS + variable bonus. 2 rounds of interview process. Hybrid working arrangement. Office at CBD.

about job

• Develop, construct, test and maintain data architectures such as databases, data warehouses and large-scale data processing systems

• Design and develop data pipelines/systems for data modelling, mining and production

• Make raw data clean and highly available for use in descriptive and predictive modelling

• Recommend and implement ways to improve data quality, reliability, flexibility and efficiency

• Ensure data assets and data catalogs are organized and stored in an efficient way

• PL/SQL and SQL Tuning and optimization

skills and requirements

• Min 3 years in data architecture, data warehousing, data processing, data modelling and ETL/ELT, familiarity with real-time streaming solutions

• Experience in Kubernetes-based DevOps practices, with experience in container orchestration, CI/CD pipelines, and microservices deployment.

• Experience in database development (Oracle SQL/PLSQL)

• Working experience in AWS cloud environment, familiar with solutions such as EC2, S3, EMR, Redshift, Athena, Kinesis • Programming knowledge in Python, R, SQL for data cleaning, processing and aggregation

• Mandarin speaking required as you need to liaise with Chinese counterparts who can only speak and write in Mandarin

To apply online please use the 'apply' function, alternatively you may contact Stella at 96554170 (EA: 94C3609 /R1875382)

Senior Data Engineer

Institution: National Healthcare Group
Family Group: Administration

The Senior Data Engineer leads the creation, maintenance, and strategic development of our advanced data analytics infrastructure, which is vital to the hospital's data-driven decision-making processes. This role oversees the acquisition, storage, retrieval, and optimization of data from various sources to support clinical, operational, and research initiatives. The position directly supports the work of the Group Chief Data Officer (GCDO) for Data Analytics and provides leadership to the data engineering team.

Leadership and Management:

• Lead and mentor a team of data engineers, fostering their professional growth and ensuring high-quality deliverables.

• Develop and implement best practices, standards, and architectural decisions for data engineering processes.

• Collaborate with cross-functional leadership to align data engineering strategies with organizational goals.

• Drive innovation in data engineering practices and technologies within the organization.

Strategic Planning and Execution:

• Develop and execute the long-term vision for the data engineering function, aligning with the institution's overall data strategy.

• Identify opportunities for process improvements and automation to enhance team efficiency and data quality.

• Manage resource allocation and capacity planning for data engineering projects.

Data Sourcing and Collection:

• Oversee the identification and evaluation of source systems.

• Guide the team in gathering requirements on frequency, volume, and types of data.

• Ensure robust data privacy and compliance measures are in place, liaising with legal and compliance teams as necessary.

Data Ingestion and Architecture:

• Lead the design and implementation of scalable, efficient data ingestion pipelines using Informatica IDMC, Spark, and Python.

• Establish architectural standards for reliability and fault tolerance of ingestion pipelines.

• Oversee data transformation strategies during ingestion.

• Manage vendor relationships and collaborations for data ingestion projects.

Data Lake Management and Integration:

• Direct the structuring of data in the DataBricks Lakehouse to ensure optimal usability and performance.

• Oversee data partitioning, indexing, and archival strategies.

• Lead integration efforts with DataBricks Lakehouse, ensuring seamless accessibility for data scientists and analysts.

Data Quality, Validation, and Security:

• Establish comprehensive data quality frameworks and validation protocols.

• Implement and oversee security measures, including access controls, data encryption, and regular audits.

• Collaborate with compliance officers to ensure adherence to healthcare data regulations.

Performance Management and Optimization:

• Set and monitor KPIs for data ingestion pipeline performance.

• Lead optimization efforts to meet and exceed SLAs.

• Conduct regular performance reviews and implement improvement strategies.

Strategic Collaboration and Communication:

• Serve as the primary liaison between the data engineering team and other departments, including data science, business analytics, and IT.

• Present data engineering strategies, progress, and challenges to senior management.

• Foster a culture of knowledge sharing and continuous learning within the team.

Qualifications:

• 8+ years of experience in data engineering, with at least 3 years in a leadership role.

• Strong technical expertise in data engineering tools and technologies, including Informatica IDMC, Spark, Python, and DataBricks.

• Excellent communication and interpersonal skills, with the ability to influence and collaborate across all levels of the organization.

Nice to Have:

• Proven track record of successfully leading data engineering projects in a healthcare setting.

• Advanced knowledge of healthcare data standards, privacy regulations, and compliance requirements

INFORMATION:

As a Data Center Segment expert, the Sales Engineer is responsible for leading, developing sales strategies and plans as well as generate new business opportunities to the company.

The position does this by locating, developing, defining, negotiating, and closing business relationships with potential and existing key accounts, end customers, consultants, and system integrators.

The position maintains extensive knowledge of current market conditions, competitive positions, and solutions/services that PS can provide to develop the pipeline of business coming into the company.

This position has the ultimate objective to aggressively achieve profitable growth through monitoring of Data Center project pipelines and assisting to convert these into actual orders.

RESPONSIBILITIES

Generate new business opportunities and proposes potential business deals by contacting potential customers, decision makers and target accounts. Screens potential business deals by analyzing market strategies, deal requirements and evaluate options.

Works closely with local, regional, and global teams to close new business deals with persuasive approaches and pitches that will convince potential key accounts/customers to do business with PS. Collaborates to establish long term working relationships with key stakeholders and decision makers at different management levels across key accounts’ organizations.

Establish, cultivate, and maintain key relationships with end customers, influencers, and contractors. This can be done in conjunction with distribution partners and direct engagement.

Uncover and build opportunity pipelines with Sales, end customers and advance through the sales stages progressively till deal closure. Ensures that data is accurately entered and managed within PS’s CRM and sales/project management system.

Establish budgetary forecasts and sales volume targets for the SEA DC market.

Collaborate with Sales to assess level of involvement required from distribution to ensure success of closing business and project opportunities. Provides project guidance for price and quotation strategy to distribution network.

Identifies and support in qualification of strategic alliances to expand PS solution, products, and services; and business networking to leverage into additional markets.

Provide front line Data Center related marketing and technical support to distribution partners and dealers, as necessary.

Analyze sales and marketdata to provide relevant information to senior management for decision making.

Plays an active role in promoting PS in trade events and associations. Works with Marketing and Engineering to create, prepare and present technical papers and other application specific white papers for marketing collateral, trade journals and conferences.

Be the expert in Data Center power products and solutions, industry standards and overall on-site power system design and integration.

TRAVEL

This position requires travel up to 50%.

REQUIREMENTS

Degree in Electrical or Mechanical Engineering with at least 8 years of relevant sales experience in the power generation business.

Solid proven direct and channel sales track record. Able to present and negotiate with senior executives and decision makers both internally and externally.

Results driven, strong will to compete and win in a business environment.

A good team player and enjoys interacting with people of all levels.

Able to travel frequently and work independently.

CRITICAL TECHNICAL, PROFESSIONAL AND PERSONAL CAPABILITIES / SKILLS

Experience in Data Center segment is critical to the growth of PS business. Strong technical knowledge of power generation products and solutions. Has good knowledge of industry standards and requirements.

Strong people and communication skills that engages and motivate others. Able to stimulate new thinking and remain customer focused.

Strong drive to succeed; motivated, energized and demonstrates high level of enthusiasm.

Excellent team player. Able to lead or participate in cross-functional teams to achieve goals and objectives. Objective, open-minded and receptive to feedback.

WORKING HOURS / LOCATION

5-day work week

8.30am to 5.15pm

Located in Jurong

OTHER BENEFITS

Annual leave - 15 days up to 21 days

Medical, dental, optical and annual health screening benefits

Company transport provided at Boon Lay MRT station

Other allowances applicable

Interested applicants, please attach your resume with your current salary. expected salary, reasons for leaving and notice period upon application.

Gladwin Teo Jian Rong

EA No. 23C1599

EA Personnel no. R1768774

Responsibilities:

• Create complex, enterprise-transforming applications in high-energy, collaborative teams.
• Work with the latest tools and techniques in a hands-on coding environment, often utilizing pair programming.
• Build high-quality, maintainable code in a collaborative team environment.
• Demonstrate a solid understanding of model implementation, data structures, data manipulation, distributed processing, application development, and automation.
• Possess knowledge of consumer financial products, data systems, environments, and processes critical for the implementation of Risk and Finance models.

Requirement:

• Hands-on development experience with PySpark, Scala Spark, and distributed computing.
• 4–6 years of experience in:
• Python development.
• Hadoop platform (Hive, HDFS, Spark).
• 3–5 years of experience in:
• Unix shell scripting.
• SQL development.
• 2–3 years of experience in Spark programming.
• Bachelor in Computer Science, Engineering, Sciences, Mathematics, or a numerate subject,

Gen AI evaluators (Data Analyst)

Job Requirement:

• Identify key performance metrics and evaluate the success of Gen AI initiatives.
• Basic understanding of prompt engineering, data pre-processing, and data ingestion techniques in the context of Generative AI systems. (Good to have)
• Proficient in MS Office (Word, Excel, Project and PowerPoint)

Enhance Generative AI Accuracy:
1) Build and curate a comprehensive knowledge base to serve as a foundation for the Generative AI model.
2) Evaluate and analyse AI-generated responses to identify areas of improvement and optimize accuracy.

Response Analysis and Evaluation:
1) Identify, analyse, and assess the quality of AI-generated responses, ensuring they align with company standards and customer expectations.
2) Collaborate with the AI Development team to implement necessary adjustments to improve response quality.

Data Set Maintenance:
1) Deconflict and curate data sets across various platforms to ensure a diverse and clean input for the Generative AI model.
2) Regularly update and refine data sets to reflect evolving language trends and user preferences.

Knowledge Base Updates:
1) Perform daily updates to the knowledge base, integrating the latest product information, industry updates, and relevant content.
2) Ensure accuracy and relevance of information provided by collaborating with product owners and subject matter experts.

Demand Analysis:
1) Engage in call listening activities to identify emerging demand topics and customer preferences.
2) Provide insights and recommendations to the AI Project Manager for enhancing AI-generated responses in response to these demands.

Collaboration with Product Owners:
1) Establish effective communication channels with product owners to continuously enhance the knowledge base and refine AI responses.
2) Actively gather feedback and insights from product owners to improve the accuracy and relevance of AI interactions.

Thanks, and Best Regards

Karanam Vijaya Kiran

(EA Registration no: R1443178)

Recruitment Manager

Hand Phone: +65 92333815

Helius Technologies Pte Ltd (EA Licence No: 11C3373)

ABOUT SEMBCORP INDUSTRIES

Sembcorp Industries (Sembcorp) is a leading energy and urban solutions provider, led by its purpose to drive energy transition.

Headquartered in Singapore, Sembcorp delivers sustainable solutions to support energy transition and urban development by leveraging its sector expertise and global track record.

For more information, please visit www.sembcorp.com.

PURPOSE AND SCOPE

We are seeking a highly skilled and motivated Key Account Manager to manage long-term and short-term energy solutions to data centre clients, including hyperscalers and colocation players. The ideal candidate will possess strong sales acumen, excellent communication skills, and a deep understanding of energy contracts and the data centre industry. This role will involve not only sales but also operational responsibilities such as contract management, invoicing and submitting proposals to clients’ tenders or request for proposals (RFP) for short term energy purchases.

KEY ROLES AND RESPONSIBILITIES

Sales Management:

• Develop and execute strategic sales plans to achieve long-term and short-term sales goals
• Identify and engage with key decision-makers within hyperscalers and colocation clients
• Build and maintain strong relationships with existing and potential clients in the data centre industry, as well as relevant governmental stakeholders
• Conduct market research to identify new business opportunities and trends within the data centre industry
• Prepare and deliver compelling sales presentations and proposals tailored to client needs
• Structure, negotiate and close high-value energy sales agreements including conventional thermal, renewables, and low carbon solutions, to meet or exceed sales targets
• Prepare gate papers for approval of revenue contracts in compliance with internal policies
• Prepare commercial proposals to submit to clients for tender or RFPs of energy supply

Account Management:

• Serve as the primary point of contact for key accounts, ensuring high levels of customer satisfaction
• Conduct regular account reviews to assess client needs and ensure the delivery of value-added services
• Develop and implement account strategies to maximize revenue and client retention
• Address and resolve any issues or concerns raised by clients promptly and effectively

Operational Responsibilities:

• Manage the contract lifecycle, including drafting, reviewing, negotiating, and executing contracts
• Ensure all contractual obligations are met and compliance with Group policies and regulations
• Oversee the invoicing process, ensuring accuracy and timeliness in billing clients
• Collaborate with internal teams, such as finance, legal and portfolio management, to streamline operational processes and structure pricing
• Maintain detailed and organized records of all client interactions, contracts, and transactions

Reporting and Analysis:

• Monitor and report on sales performance metrics, providing insights and recommendations for improvement
• Prepare regular reports and presentations for senior management on account status and sales progress
• Analyze market trends, client feedback, and the competitive landscape to inform strategic decisions

QUALIFICATIONS & EXPERIENCE

• Proven experience in sales and account management, preferably within the data centre or power and utilities industries
• Relevant certifications such as ISCC RFNBOs would be advantageous
• Strong understanding of hyperscalers and colocation providers
• Excellent negotiation, communication, and interpersonal skills
• Ability to manage multiple priorities and work effectively under pressure and tight timelines
• Proficiency in contract management and invoicing processes
• Strong analytical skills with a keen attention to detail
• Proficient in using CRM software and other sales management tools

SKILLS, COMPETENCIES AND PREFERRED CHARACTERISTICS

• Experience with energy contracts and long-term and short-term sales cycles.
• Familiarity with data centre infrastructure, services and growth drivers
• Strong problem-solving skills and the ability to think strategically
• Self-motivated with a strong sense of initiative and ownership
• Ability to work collaboratively in a team-oriented environment

At Sembcorp, our shared corporate behaviours underpin all the work that we do in building a sustainable future:

• Institution-first Mindset – Put the interest of the Group ahead of individual interests.
• Collaboration – Deliver through collaborating across markets, businesses and functions.
• Accountability – Hold team and self accountable to deliver on our commitments.

TikTok is the leading destination for short-form mobile video. Our mission is to inspire creativity and bring joy. TikTok has global offices including San Jose, Los Angeles, New York, London, Paris, Berlin, Dubai, Singapore, Jakarta, Seoul and Tokyo.

Why Join Us

Creation is the core of TikTok's purpose. Our platform is built to help imagination thrive. This is doubly true of the teams that make TikTok possible.

Together, we inspire creativity and bring joy - a mission we all believe in and aim towards achieving every day.

To us, every challenge, no matter how difficult, is an opportunity; to learn, to innovate, and to grow as one team. Status quo? Never. Courage? Always.

At TikTok, we create together and grow together. That's how we drive impact - for ourselves, our company, and the communities we serve.

Join us.

The Growth team plays a core role in acquisition, activation, and retention of billions of users, through our globally popular products such as TikTok, Lemon8, CapCut, etc. We are building platform foundations, leveraging data and ML models, and providing end-to-end solutions to power global growth of products.

You will:

- Design and apply machine learning algorithm and product strategies to user growth methods to expand product impact as well as improve users' experiences;

- Understand user growth instruments and use data and machine learning algorithms or other strategies to make it thrive;

- Responsible for target audience, automated material production, advertising automation optimization and other related algorithm strategies

- Conduct offline and online experiments, analyze according data and evaluate to improve algorithms and strategies;

- Work with product and DEs, DAs, and other engineers to deliver features to drive the user growth of products.

Qualifications

Minimum Qualifications

1. Excellent coding skills and solid data structure and algorithm skills, proficient in python / C++ and other development languages;

2. Familiar with common Machine Learning tools and Deep learning programming frameworks ( Tensorflow / PyTorch / Scikit-learn / XGBoost , etc.);

3. Relevant algorithm experience in search, recommendation, advertising and other related fields, user growth experience is better;

4. Excellent analytical and problem-solving skills, with a passion for solving challenging problems.

Preferred Qualifications

1. Passion for technology, good communication skills and team spirit

TikTok is committed to creating an inclusive space where employees are valued for their skills, experiences, and unique perspectives. Our platform connects people from across the globe and so does our workplace. At TikTok, our mission is to inspire creativity and bring joy. To achieve that goal, we are committed to celebrating our diverse voices and to creating an environment that reflects the many communities we reach. We are passionate about this and hope you are too.

The exceptional EY experience. It's yours to build.

At EY, you’ll have the chance to build a career as unique as you are, with the global scale, support, inclusive culture and technology to become the best version of you. And we’re counting on your unique voice and perspective to help EY become even better, too. Join us and build an exceptional experience for yourself, and a better working world for all.

The opportunity:

EY DnA is the data and advanced analytics capability within EY Asia-Pacific, with over 500 specialist employees working across multiple industry sectors.

We implement information-driven strategies, data platforms and advanced data analytics solution systems that help grow, optimize and protect client organizations. We go beyond strategy and provide end to end design, build and implementation of real life data environments and have some of the best architects, project managers, business analysts, data scientists, big data engineers, developers and consultants in the region.

We are looking for a Data Engineer within the DnA team in our Singapore office. This role is offered on a flexible full time basis.

Your key responsibilities:

• Apply data mining, data modelling, natural language processing, and machine learning to extract and analyse information from large structured and unstructured datasets
• Develop and implement techniques and analytics applications to transform raw data into meaningful
  information using dataoriented programming languages and visualisation software.
• Visualise, interpret, and report data findings and may create dynamic data reports as well
• Design, develop, and maintain the organization's data architecture, including data pipelines, databases, and data warehouses.
• Develop and maintain ETL (Extract, Transform, Load) processes to efficiently move data from various sources to the data
• Implement data quality checks and monitoring processes to identify and resolve data issues in a timely manner.
• Collaborate with data scientists, analysts, and other cross-functional teams to understand data requirements and deliver data solutions that meet business needs.

Skills and attributes for success

• Experience in ETL, Data Engineering, Scripting.
• Knowledge and experience in end-to-end project delivery, either traditional SDLC or agile delivery methodologies (or hybrid approaches)
• Experience in a delivery role on Business Intelligence, Data Warehousing, Big Data or analytics projects
• Exceptional communication, documentation and presentation skills and stakeholder management experiences
• Experience in business intelligence, data warehousing/platform, and data strategy projects

To qualify for the role, you must have

• At least a Bachelor's degree in any of these faculties: Computer Science/Information Technology/Programming & Systems Analysis/Science (Computer Studies)
• Minimum total 6 years work experience in at least 1 of these job titles: (1) Chief Data Scientist (2) Data Engineer (3) Data Scientist (4) Head of Data Analytics
• Experience in development and maintenance of Data processing pipelines
• Experience developing machine learning workflows
• Work closely with business analysts to create data components
• Application packaging and deployment experience across DEV to PROD environments

Ideally, you’ll also have

• Dashboarding experience with Tableau / Power BI
• Experience in engaging with both technical and non-technical stakeholders
• Consulting experience and background, including engaging directly with clients

What we look for

• Highly motivated individuals with excellent problem-solving skills and the ability to prioritize shifting workloads in a rapidly changing industry.
• An effective communicator, you’ll be a confident leader equipped with strong people management skills and a genuine passion to make things happen in a dynamic organization.

What we offer

EY offers a competitive remuneration package commensurate with your work experience where you’ll be rewarded for your individual and team performance. We are committed to being an inclusive employer and are happy to consider flexible working arrangements, where this may be needed, guided by our FWA Policy.

Plus, we offer:

• Continuous learning: You’ll develop the mindset and skills to navigate whatever comes next.
• Success as defined by you: We’ll provide the tools and flexibility, so you can make a meaningful impact, your way.
• Transformative leadership: We’ll give you the insights, coaching and confidence to be the leader the world needs.
• Diverse and inclusive culture: You’ll be embraced for who you are and empowered to use your voice to help others find theirs.

If you can demonstrate that you meet the criteria above, apply now.

To learn more about our service offerings, visit https://www.ey.com/en_gl/careers/what-you-can-do-here or subscribe to http://www.youtube.com/ernstandyoungglobal

To learn more about careers in EYSG, please visit https://www.ey.com/en_sg/careers or like us on https://www.facebook.com/eycareerssingapore

COMPANY DESCRIPTION

A leading general insurer with a local presence of over 100 years, MSIG Singapore offers an extensive range of insurance solutions for commercial and personal risk protection, enabling the security and safety of individuals and businesses. MSIG Singapore holds an A+/Stable financial rating by Standard & Poor's.

A testament to its growing strength and influence, MSIG Singapore has garnered numerous awards for delivering digitally innovative and customer-centric solutions. In 2023, 2022 and 2020, MSIG Singapore was awarded Insurance Asia Awards' Claims Initiative of the Year.

MSIG is a subsidiary of Mitsui Sumitomo Insurance Co., Ltd, and a member of the MS&AD Insurance Group one of the largest general insurance groups in the world with presence in 50 countries and regions globally, 18 of which are in Asia Pacific including all ASEAN markets as well as in Australia, New Zealand, China, Hong Kong, Taiwan, South Korea and India. Headquartered in Japan, MS&AD is amongst the top non-life insurance groups in the world based on gross revenue.

RESPONSIBILITIES

• Assist Senior Vice President, Technical Services to provide actuarial services and analysis to the underwriting, claims, business development, reinsurance and finance managers.
• Introduce best practice actuarial science to the business process including premium rating
• Undertake any other duties as may be assigned.

• Preferably with Actuarial Science, Mathematics or Statistics degree and currently pursuing professional qualifications from the Casualty Actuarial Society/Institute of Actuaries/Institute of Actuaries of Australia
• Should ideally be one to two years from obtaining the professional qualification above

• Knowledge and experience in general insurance actuarial practice especially in areas of premium rating, portfolio monitoring, reserving, risk/financial/capital modelling
• Statistical knowledge
• Good understanding of data, actuarial software and programming languages including analytics and visualisation tools
• Preferably with experience in a consultancy firm or/and general insurance company
• Ideally a minimum of 2 years experience in a general insurance actuarial practice
• Business oriented, able to suggest practical recommendations
• Some general insurance business knowledge

We are thrilled to announce the launch of our new AI Hub in Singapore, a strategic initiative designed to drive innovation in Artificial Intelligence (AI), Generative AI, and Data Science. This hub will play a pivotal role in shaping the future of our business, serving as a center of excellence for delivering cutting-edge AI and data-driven solutions across our diverse product lines. As part of this dynamic and growing team, you will be at the forefront of leveraging AI to address complex challenges and deliver transformative insights for our operations worldwide.

We are looking for a highly skilled Senior Data Scientist for our DT&A Platform with a strong background in Supply Chain. We seek for someone who enjoys hands-on data science work while also possess the ambition to lead strategic initiatives. The role bridges data science, product management, and business strategy, playing a key role in shaping the future of our supply chain data ecosystem. A strong initial focus will involve tracking vessels and their cargoes while contribute to the creation of a digital twin of our operations. The role offers an unparalleled opportunity to make a tangible impact on our global supply chain optimization and predictive capabilities.

Main Responsibilities:

• Data Product Development:
  • Design, develop, and manage the lifecycle of high-quality data products
• Algorithm Design:
  • Build advanced algorithms, with a focus on fuzzy matching, destination prediction, indicator modeling, and optimization within digital twins
• Data Management:
  • Collaborate with data engineers to handle complex, multi-format datasets, ensuring accurate analysis and effective data governance
• Team Coordination:
  • Work closely with cross-functional teams, including data architects, data engineers, and the product team to align on project goals, technical specifications, and deliverables
• Stakeholder Engagement:
  • Translate business needs into data-driven solutions, ensuring alignment with strategic goals
• Insights Presentation:
  • Synthesize raw data into actionable insights, delivering compelling visualizations and narratives for both technical and non-technical stakeholders on a regular basis

Experiences:

• At least 2-4 years of relevant experiences
• Strong background in AIS data, geographical data, or time series prediction
• Proven experience in designing and implementing quality algorithms for research and data analytics
• Experience in agricultural commodities trading, freight, logistics or similar markets is a strong plus
• Experience with modeling techniques and machine learning algorithms is a plus
• Passionate about staying abreast of the latest trends in AI, data science, and industry innovations
• Genuine interest in commodity trading industry
• Strong analytical and statistical capabilities, with a proven track record in problem-solving
• Excellent communication skills
• Ability to work independently and in collaborative settings
• Independent self-starter who takes initiative, and has a proactive attitude toward problems and issues
• Ability to present complex technical concepts in an accessible manner to stakeholders at all levels
• Ability to communicate with both technical and non-technical stakeholders

Technical Skills:

• Proficiency in Python and SQL
• Experience in data analysis libraries (e.g. Pandas, NumPy, SciPy)
• Experience in working with large, complex datasets
• Experience in implementing fuzzy matching algorithms, optimization techniques, and other advanced analytics methods are a strong plus

Languages:

• English (Fluent)

Academics:

• Degree or Master’s in Mathematics, Statistics, Econometrics, Computer Science, Data Science or related field of study

JOB SUMMARY

The Data Strategy & Reporting Manager will be responsible for creating & maintaining data pipelines, and the platforms that support said pipelines. He/She will be required to generate a strong understanding of data from a multitude of internal/external platforms, and create pipelines (automated, where possible) that support further downstream reporting/analysis.

CANDIDATE PROFILE

The experience, skills and knowledge and education/certification components of the Candidate Profile should be presented as preferences rather than requirements unless an individual would not be hired for the position without these. Equivalent work experience may be substituted for years of experience.

Experience

• Bachelor’s degree in a quantitative discipline (Computer Science, Economics, Statistics or relevant field)
• Hands on experience developing corporate reports, dashboards and reporting visualizations (2+ years)
• Experience in working with, developing, and maintaining data pipelines/databases (2+ years)
• Preferred: Experience in working with cloud services/platforms and APIs (2+ years)

Skills and Knowledge

Essential

• Expertise in data visualization and dashboard creation to support downstream business analysis in Microsoft Power BI
• Expertise in database query languages (i.e. SQL) and cloud/on-premise database management, ability to manage mid to large-sized corporate databases
• Expertise in Python or related programming languages to support advanced analytics
• Experience in consolidating and processing complex data sets (ETL/ELT, data validation techniques)
• Fluent in written and oral communication in English

Desirable

• Experience working with Snowflake cloud databases and SnowSQL
• Experience in statistical modeling and machine learning in Python or related programming languages
• Experience working with cloud services/platforms and APIs; HTML & Javascript a plus
• Experience in cloud computing platforms/services (i.e. Google Cloud, Microsoft Azure, etc.) preferred
• Experience working independently or as part of a team in Regional/Global projects
• Working knowledge/experience in Revenue Management/Sales/Marketing/Loyalty Programming domains or Travel & Hospitality industry

Others

• Able to analyze large volumes of complex information/data and present in a clear, concise and intuitive manner
• Able to work in fast-paced environment and adapt to changing business conditions/requirements quickly
• Able to work well independently or as part of a team, initiating and supporting business change
• Excellent interpersonal, as well as written and oral communication skills

CORE WORK ACTIVITIES

Leadership

• Adaptability – Develops strategies and identifies resources to implement and manage change; models flexibility in adjusting priorities; and communicates the need for change in a positive way that encourages commitment.
• Communication – Actively listens and uses appropriate communication styles to deliver complex information in a clear concise way and influences others to accept a point of view, gain consensus, or take action.
• Problem Solving and Decision Making – Models and sets expectations for solving complex problems, collecting and comparing information to evaluate alternatives, considering their potential impact before making decisions, involving others to gain agreement and support, and guiding others to implement solutions.
• Professional Demeanor – Exhibits behavioral styles that convey confidence and command respect from others; makes a good first impression and represents the company in alignment with its values.

Managing Execution

• Building and Contributing to Teams - Leads and participates as a member of a team to move the team toward the completion of common goals while fostering cohesion and collaboration among team members.
• Driving for Results - Focuses and guides others in accomplishing work objectives.
• Planning and Organizing - Gathers information and resources required to set a plan of action for self and/or others; prioritizes and arranges work requirements self and/or others to accomplish goals and ensure work is completed.

Technical Expertise

• Develop analytical approaches to support all key business processes throughout the year
• Provide support and help develop/maintain/update Continent and GLS tools and develop analysis to identify revenue opportunities
• Develop measurement techniques to evaluate the effectiveness of multiple initiatives
• Work closely with operations research and systems personnel in creating and developing decision support systems that will lead to enhanced revenues.
• Respond to requests from Revenue Management stakeholders and other Sales and Marketing stakeholders for data and analysis
• Special projects, including ad hoc requests for information, analysis and recommendations relative to Revenue Management initiatives

Building Relationships

• Coworker Relationships - Develops and uses collaborative relationships to facilitate the accomplishment of work goals.
• Customer Relationships - Develops and sustains relationships based on an understanding of customer needs and actions consistent with the company’s service standards.
• Global Mindset - Supports employees and business partners with diverse styles, abilities, motivations, and/or cultural perspectives; utilizes differences to drive innovation, engagement and enhance business results; and ensures employees are given the opportunity to contribute to their full potential.

Generating Talent and Organizational Capability

• Organizational Capability - Evaluates and adapts the structure of organizational units, jobs, and work processes to best fit the needs and/or support the goals of an organizational unit.
• Talent Management - Provides guidance and feedback to help individuals develop and strengthen skills and abilities needed to accomplish work objectives.

Learning and Applying Personal Expertise

• Applied Learning - Seeks and makes the most of learning opportunities to improve performance of self and/or others.
• Business Acumen - Understands and utilizes business information (e.g., data related to property Revenue and financial performance) to manage everyday operations and generate innovative solutions to approach business and administrative challenges.
• Technical Acumen - Understands and utilizes professional skills and knowledge in a specific functional area to conduct and manage everyday business operations and generate innovative solutions to approach function-specific work challenges.
• Analysis - The ability to analyze and summarize detailed data to make inferences and recommendations. Included is the creation and maintenance of spreadsheets for storing data.
• Research - Skill in collecting information from a variety of sources relating to market data, historical cycles, travel and tourism trends, and real estate market dynamics.
• Mathematical Reasoning - Demonstrates ability to add, subtract, multiply, or divide quickly, correctly, and in a way that allows one to solve work-related issues.
• Oral Comprehension - Demonstrates ability to listen to and understand information and ideas presented through spoken words and sentences.
• Reading Comprehension - Demonstrates understanding of written sentences and paragraphs in work-related documents.
• Writing - Communicates effectively in writing as appropriate for the needs of the audience.

MANAGEMENT COMPETENCIES

Leadership

• Adaptability - Maintains performance level under pressure or when experiencing changes or challenges in the workplace.
• Communication - Conveys information and ideas to others in a convincing and engaging manner through a variety of methods.
• Problem Solving and Decision Making - Identifies and understands issues, problems, and opportunities; obtains and compares information from different sources to draw conclusions, develops and evaluates alternatives and solutions, solves problems, and chooses a course of action.
• Professional Demeanor - Exhibits behavioral styles that convey confidence and command respect from others; makes a good first impression and represents the company in alignment with its values.

Managing Execution

• Building and Contributing to Teams - Participates as a member of a team to move toward the completion of common goals while fostering cohesion and collaboration among team members.
• Driving for Results - Sets high standards of performance for self and/or others; assumes responsibility for work objectives; initiates, focuses, and monitors the efforts of self and/or others toward the accomplishment goals; proactively takes action and goes beyond what is required.
• Planning and Organizing - Gathers information and resources required to set a plan of action for self and/or others; prioritizes and arranges work requirements to accomplish goals and ensure work is completed.

Building Relationships

• Coworker Relationships - Interacts with others in a way that builds openness, trust, and confidence in the pursuit of organizational goals and lasting relationships.
• Customer Relationships - Develops and sustains relationships based on an understanding of customer/stakeholder needs and actions consistent with the company’s service standards.
• Global Mindset - Supports employees and business partners with diverse styles, abilities, motivations, and/or cultural perspectives; utilizes differences to drive innovation, engagement and enhance business results; and ensures employees are given the opportunity to contribute to their full potential.

Generating Talent and Organizational Capability

• Talent Management - Provides support and feedback to help individuals develop and strengthen skills and abilities needed to accomplish work objectives.

Learning and Applying Professional Expertise

• Applied Learning - Seeks and makes the most of learning opportunities to improve performance of self and/or others.
• Business Acumen - Understands and utilizes business information to manage everyday operations and generate innovative solutions to approach business and administrative challenges.
• Technical Acumen - Understands and utilizes professional skills and knowledge in a specific functional area to conduct and manage everyday business operations and generate innovative solutions to approach function-specific work challenges.
• Sales Opportunity Analysis-Understanding and utilizing economic, financial, industry, and organizational data; accurately diagnosing customers’ business strengths, weaknesses, and key issues that can inform sales strategies and plans.
• Basic Competencies - Fundamental competencies required for accomplishing basic work activities.
• Basic Computer Skills - Uses basic computer hardware and software (e.g., personal computers, word processing software, Internet browsers, etc.).
• Mathematical Reasoning - Adds, subtracts, multiplies, or divides quickly, correctly, and in a way that allows one to solve work-related issues.
• Oral Comprehension - Listens to and understands information and ideas presented through spoken words and sentences.
• Reading Comprehension – Understands written sentences and paragraphs in work related documents.
• Writing - Communicates effectively in writing as appropriate for the needs of the audience.

Marriott International is an equal opportunity employer. We believe in hiring a diverse workforce and sustaining an inclusive, people-first culture. We are committed to non-discrimination on any protected basis, such as disability and veteran status, or any other basis covered under applicable law.

Head of Data Analytics & Operations

Affle is a global technology company with a proprietary consumer intelligence platform that drives consumer engagement, acquisition, and transactions through targeted Mobile Advertising. We are looking for a strategic and results-driven Head of Data Analytics & Operations to lead our YouAppi platform’s data analysis, operations, and business intelligence initiatives. This key leadership role will be responsible for optimizing global operations, improving workflows, enhancing team collaboration, and leveraging data to inform critical business decisions. The role will involve close collaboration with senior leadership across both the EU and APAC regions.

Key Responsibilities:

1. Operational Strategy & Execution

• Partner with the COO and SVP of Product Performance to design and implement operational workflows, streamline business processes, and improve performance across global and regional operations.
• Work alongside the VP of Operations to ensure alignment of operational workflows across the APAC region, optimizing efficiency and aligning regional priorities with company goals.
• Develop and execute strategies to enhance operational efficiency, resource allocation, and project delivery through data-driven insights.
• Continuously refine operational processes to ensure they are scalable, efficient, and aligned with both global and regional objectives.

2. Strategic Data Analysis & Business Intelligence

• Lead the creation and execution of strategic data analysis initiatives, providing actionable insights to optimize operations, programmatic campaign management, and product delivery.
• Drive the adoption of business intelligence tools and processes to enhance decision-making across the organization.
• Deliver regular reports and dashboards on key performance indicators (KPIs), guiding operational and strategic decisions for senior leadership.
• Collaborate with product and analytics teams to stay on top of market trends, competitive performance, and industry innovations.

3. Team Management & Leadership

• Lead and mentor a diverse, cross-functional team of operations and analytics professionals, fostering a culture of collaboration, innovation, and accountability.
• Ensure team members in both Europe and APAC are aligned with the company’s strategic objectives and have access to the tools, training, and resources they need to succeed.
• Oversee talent development and performance management, ensuring high-performing, engaged teams.
• Promote continuous learning and professional growth within the team, encouraging cross-regional collaboration.

4. Cross-Functional Collaboration

• Work closely with senior management to implement global operational workflows, ensuring consistent practices and standards across all regions.
• Collaborate with teams globally to implement and synchronize operational workflows, ensuring seamless communication and effective coordination across regions.
• Develop strategies to improve communication between global offices, ensuring alignment of goals and transparency in operations.

5. Continuous Improvement & Innovation

• Foster a culture of continuous improvement by optimizing workflows, increasing productivity, and enhancing the client experience.
• Identify and implement new tools, processes, and technologies that can improve both global and regional performance.
• Regularly assess operational efficiency and client satisfaction metrics, proposing data-driven strategies for improvement based on insights and feedback.

Affe International Pte Ltd (“Affle”) has a Data Protection Policy for Job Applicants (Singapore) that sets out the basis upon which Affle may collect, use, disclose or otherwise process your personal data in accordance with the Personal Data Protection Act (“PDPA”). To find out more, read our updated privacy policy

By submitting your Job Application, you are granting your consent to the processing of that information in accordance with Affle Data Protection Policy.

Affe International Pte Ltd (“Affle”) has a Data Protection Policy for Job Applicants (Singapore) that sets out the basis upon which Affle may collect, use, disclose or otherwise process your personal data in accordance with the Personal Data Protection Act (“PDPA”). To find out more, read our updated privacy policy

By submitting your Job Application, you are granting your consent to the processing of that information in accordance with Affle Data Protection Policy.

About Us:
From business process re-engineering to global business expansion for Japanese corporations, Abeam Consulting has served our clients through more than 40 years of growth. With our vision of being the No. 1 global consulting firm from Asia, ABeam Consulting helps our clients take on the challenge of business transformation. With 4,400 consultants in Japan, and 3,100 in overseas offices concentrated in Asia, our 7,500 consultants and global alliance partners provide truly comprehensive services.


Responsibilities:

• Coordinate data migration activities between Business Analysts (BA), Data Analysts (DA), IT, and Business teams across all branches.
• Establish a data migration framework and ensure alignment with the target operating model (TOM) requirements.
• Identify and roll out tools for use by the data migration team.
• Develop and implement a project reporting framework to track status and progress.
• Create transparency in the migration process and conduct risk assessments.
• Lead the data migration governance framework, reviewing and approving key decisions.
• Report directly to the Project Manager for updates to the steering committee.

Requirements:

• Min. Bachelor’s Degree in IT or any relevant field.
• At least 5 years of experience in IT Service Management (ITSM), including all phases.
• At least 5 years of experience in Business requirement gathering and definition.
• At least 5 years of Banking industry experience, with knowledge of bank products such as Deposits, Loans, Remittance, Trade, Treasury, etc.
• Possess 5 years of project management experience with minimum 1 year of data analysis experience.
• Systematic knowledge of ITSM (e.g., ITIL).
• Possess strong business communication skills in English and Japanese (to liaise with Japanese speaking stakeholders and clients).
• Experience with client engagement and team management.

Why Join Us
At ABeam Consulting, we place a strong emphasis on collaboration, and helping our employees grow and develop their skills, offering a supportive and empowering work environment. With a presence in multiple countries and a diverse range of clients, Abeam Consulting offers an exciting and dynamic workplace for individuals looking to build a career in consulting. Abeam Consulting has also recently joined SAP’s regional strategic partner initiative as their first regional partner in the region and has also been recognized by UiPath as a Diamond Partner in providing RPA solutions. With such accolades, we aim to continue driving enterprise and digital transformation initiatives in order to transform the way people work and communicate in the digital age. In addition, our industry team is working tirelessly in order to bring more solutions to the banking and finance sector.

We regret only shortlisted candidates will be notified.

Enhance Generative AI Accuracy:
1) Build and curate a comprehensive knowledge base to serve as a foundation for the Generative AI model.
2) Evaluate and analyse AI-generated responses to identify areas of improvement and optimize accuracy.

Response Analysis and Evaluation:
1) Identify, analyse, and assess the quality of AI-generated responses, ensuring they align with company standards and customer expectations.
2) Collaborate with the AI Development team to implement necessary adjustments to improve response quality.

Safety Scenario Establishment:
1) Develop and implement safety scenarios to mitigate the risk of inappropriate or sensitive AI responses, maintaining ethical and responsible AI interactions.

Data Set Maintenance:
1) Deconflict and curate data sets across various platforms to ensure a diverse and clean input for the Generative AI model.
2) Regularly update and refine data sets to reflect evolving language trends and user preferences.


Knowledge Base Updates:
1) Perform daily updates to the knowledge base, integrating the latest product information, industry updates, and relevant content.
2) Ensure accuracy and relevance of information provided by collaborating with product owners and subject matter experts.

Demand Analysis:
1) Engage in call listening activities to identify emerging demand topics and customer preferences.
2) Provide insights and recommendations to the AI Project Manager for enhancing AI-generated responses in response to these demands.

Collaboration with Product Owners:
1) Establish effective communication channels with product owners to continuously enhance the knowledge base and refine AI responses.
2) Actively gather feedback and insights from product owners to improve the accuracy and relevance of AI interactions.

Product Knowledge & Call Handling Trained
1) To be trained in Banking Related product knowledge and undergo training to learn how a customer service officer handles a customer over a call.
2) Standby support to be activated on adhoc basis by Workforce Management team to service calls/emails or any other functions deemed to be necessary to maintain Customer Centre’s service levels.

These are the experience and skillsets that we are generally looking for:
1. Meticulous and show great attention to detail. (Important)
2. Possess an analytical mindset to identify key performance metrics and evaluate the success of Gen AI initiatives. (Important)
3. Basic understanding of prompt engineering, data pre-processing, and data ingestion techniques in the context of Generative AI systems. (Good to have but not essential)
4. Proficient in MS Office (Word, Excel, Project and PowerPoint)

Responsibilities:

• Strong understanding of data integration concepts, ETL process and data quality management.

• Proficiency in designing and implementing data mappings, transformations, and workflows.

• Evaluate potential technical solutions and make recommendations to resolve data issues especially on performance assessment for complex data transformations and long running data processes.

• Strong knowledge of SQL and NoSQL databases.

• Excellent problem-solving and analytical skills.

• Strong communication and collaboration skills.

Requirements:

• Minimum 5 years of experience in data engineering, with expertise in AWS or Azure services, Databricks, and/or Informatica IDMC.

• Experience with other cloud based ETL technologies.

• Experience in AWS Services focusing on ETL and data processing.

• Familiarity with data visualization tools like Tableau or Power BI.

[1 year contract, renewable]

As a Senior Data Scientist within the VICA team, you'll play a pivotal role in shaping the future of citizen engagement through data-driven insights. You'll be responsible for analyzing user interactions, optimizing chatbot performance, and developing advanced functionalities to enhance user experience.

About VICA

VICA (Virtual Intelligent Chat Assistant) is a government-developed platform powering chatbots across various Singaporean agencies. It leverages Natural Language Processing (NLP) and machine learning to provide citizens with convenient access to information and services.

Responsibilities:

· Develop and refine machine learning models to improve chatbot performance in tasks such as intent classification, dialogue management, and sentiment analysis.

· Experiment with different models and algorithms to achieve optimal results.

· Collaborate with engineers to integrate models into the VICA platform.

· Conduct in-depth analysis of VICA interaction data to identify patterns, trends, and areas for improvement.

· Utilize statistical techniques and visualization tools to communicate findings effectively.

· Develop key performance indicators (KPIs) to measure chatbot effectiveness and track progress.

· Apply NLP techniques to understand user queries, extract relevant information, and generate appropriate responses.

· Explore cutting-edge NLP methods to enhance chatbot capabilities.

· Stay up-to-date with the latest advancements in machine learning, NLP, and chatbot technologies.

· Propose and implement innovative solutions to address chatbot challenges and improve user experience.

· Work closely with engineers, product managers, and other stakeholders to ensure that data-driven insights are effectively integrated into the VICA platform

Qualifications:

· Min. Bachelor’s degree in Computer Science, Statistics, Mathematics, or a related field (or equivalent experience).

· Minimum 4 years of experience in data science with a focus on NLP.

· Proven experience in data analysis and machine learning with tools including but not limited to: Python and libraries like scikit-learn, TensorFlow, or PyTorch.

· Strong understanding of Natural Language Processing (NLP) concepts and techniques.

· Experience working with real-world, large-scale datasets.

· Excellent communication and collaboration skills.

· Ability to work independently and manage multiple projects simultaneously.

· Passion for innovation and a strong desire to contribute to Singapore's Smart Nation vision.

Responsibilities:

• Deploy and maintain on-site data center physical infrastructure.
• Install, replace, and troubleshoot cables and hardware.
• Handle data-bearing devices (e.g., hard drives, SSDs).
• Work within a ticket-based environment.
• Move equipment using pallet jacks or lifting tools.
• Assist the Data Centre Inventory and Asset Management Team (DIAT) with shipping, receiving, and inventory management as needed.
• Work flexible hours, including weekends and holidays.

Education / Experience:

• Diploma / Degree in IT / Computer Engineering or equivalent.
• 1 year of IT support experience (Fresh graduates with a good attitude will be considered).

Skills:

• Basic knowledge of computer hardware and components.
• 6+ months experience handling technical equipment or machinery.
• 1+ years of IT equipment support experience.
• Relevant certifications: CompTIA (A+, Server+, Network+), Basic Structure Cabling (BSC).
• Ability to stand, walk, lift, and work at heights with or without equipment assistance.
• Willingness to learn and develop new technical skills.

Only shortlisted candidates will be notified.

Please email a copy of your detailed resume to [email protected] for immediate processing.

(EA Reg No: 20C0312)

Digital Procurement Master Data Specialist – Telenor Procurement Company

Telenor Group is the world’s leading telecommunications company across the Nordics and Asia with 211 million subscribers and 81 billion NOK in revenues. We are committed to responsible business conduct and driven by the ambition of empowering societies. Connectivity has been Telenor’s domain for more than 160 years, and our purpose is to connect our customers to what matters most.

Telenor has a leading Nordic position in mobile, broadband and TV services, as well as substantial activities in subsidiaries and joint venture operations, including mobile financial services and online classifieds in the Asia region. Worldwide, Telenor Group and our operations’ teams are 11,000 people strong.

Telenor Procurement Company (TPC), established in 2017 and based out of Singapore, operates as a subsidiary of the Telenor Group. We deliver Global Category Management as a service to the Telenor Business Units and beyond, taking full responsibility for the end-to-end Sourcing process and performance of global spend categories. Functioning as one Global Procurement team across all Telenor markets, we enable Telenor’s strategic ambitions by becoming a centre of expertise in the pursuit of efficient operations. TPC seeks qualified procurement professionals that are comfortable working in a global setup in the fast-paced Telecom field.

For more information, please visit our website (https://www.telenor.com/about/our-companies/other-units/telenor-procurement-company/)

About the Role

As Master Data Specialist, you will work with Senior Manager BI and Master Data to execute data strategy and establish better governance of the group’s procurement master data throughout its lifecycle and ensure that high quality, actionable spend data is provided to the business. You will guide the category teams on how to secure an item’s mastering and data integrity through the end-to-end procurement process. This is partially a new role in the team developing our master data management (MDM) is a key part of improving our global Purchase-to-Pay (P2P) capability. In this role, you will make your mark on Telenor’s journey of digital transformation.

However, the role will work closely with the operational team who is rolling out a common Purchase-to-Pay (P2P) process and solution across all our business units.

Main Responsibilities

Master Data Governance

• Develop and secure implementation of the Master Data Governance across Global Procurement
• Develop and continuously improve lifecycle processes for efficient master data in P2P and Sourcing processes.
• Ensure effective master data governance disciplines for both internal stakeholders across BUs to establish data quality rules and ensure effective data quality program.
• Maintain and update governance documents, ensure alignment across data owners and center of excellence forum.
• Periodic maintenance of MDM portal and ensure information are up to date.

Data Analysis and Tooling Development

• Develop analytic report to be used for Global Procurement.
• Develop TCO benchmark tooling to be used across Global Procurement for the RFQ processes.
• Periodic analysis of spend data quality to ensure accuracy of spend, drive cleansing and process improvement through different forums (central and local category team, P2P, Finance).
• Develop and enhance machine learning scripts to improve spend classification

Project Support

• Assist in the planning and execution of projects aimed at improving operational efficiency.
• Track project milestones and deliverables, ensuring timely completion.

Cross-Department Collaboration

• Build strong working relationships with internal or external customers, other key stakeholders within Global Procurement including P2P team and IT system specialists to develop a shared understanding of MDM requirements, business processes and department inter-dependencies.

Profile

We seek a passionate person in exploring various technology and knowledge has hands-on experience developing solution through various analytic tooling. with harmonizing and improving master data, common information architecture and business processes related to the procurement supply chain functional area.

The following characteristics will be critical to succeed in the role:

• Good understanding procurement process and data especially master data.
• A problem solver capable of dissecting a complicated problem and evaluating it systematically.
• Detail oriented and structured, while at the same time have a good overview and business acumen.
• Passionate about technology and staying up to date on current technology landscape and able to engage in technical discussion.
• A promoter of data science and Artificial Intelligence that can bring AI into procurement landscape.
• An analyst and a programmer yourself that able to develop solution through different tooling involving different technologies.
• Excellent communicator that brings a positive influence even to contentious discussions.
• Self-driven, and ability to adapt to a fast moving and dynamic environment with changes in priorities.
• Interested to evolve along a Data Governance/Data Management career path.

Qualification and Skills Requirements

• University degree within Finance/Accounting, Supply Chain, Business Management, Statistics, Engineering, Economics, Data Science or equivalent
• 2+ years working with applied business intelligence and analytics solutions. Fresh graduates are welcome
• Experience from Procurement/Strategic Sourcing/ Category management/Supply Chain
• Working in a matrix set-up
• Working in an international corporate with both European and Asian footprint
• Hands-on experience with procurement enabling tools such as spend visibility and Coupa P2P.

Proficient in:

• Programming: Python, R
• Analytic: Power BI
• Cloud Platform: Google Cloud, AWS, Azure, Fabric
• O365: Power Automate
• AI: MS Co-Pilot, ChatGPT