Job responsibilities:

1. Responsible for analyzing core business data related to vehicle operation health, mining pain points of operation business and suggesting optimization directions

2. Participated in the core project of the team, and was responsible for project data analysis and promoting effect review

3. Summarize the data monitoring dimensions of daily/new strategies, establish a data monitoring system, find problems in time, and provide strategic support for business operations

Job Requirements:

1. Full-time bachelor degree or above, major in computer science, statistics, applied mathematics, Operations research or related field is preferred

2. Proficient in Excel, SQL, Tableau and other visual tools experience is preferred

3. Love data analysis work, have a high degree of data sensitivity and insight, efficient team cooperation and communication skills

4. Have more than two years of data analysis related work experience

The Role

• Deliver volume forecast, key forecast changes and risks & opportunities for the business
• Monitor KPIs and perform root cause analysis
• Overall ownership and accountability for the business volume forecast process
• Develop and drive action plans to improve forecast accuracy and build sustainable demand planning capability (people, process, and system)
• Build bench strength within the team
• Lead and provide direction to a team of Demand Planning executive on resolving Demand planning related and allocation
• Manage introduction of new products, new supply chain and new initiative forecast.
• Work with regional and local commercial /marketing team to incorporate SEA category development into the overall initiative design and ensure initiative readiness
• Develop phase-in and phase-out strategy working with commercial team, and define clearance plan with commercial team
• Provide insights on safety stock factor adjustment based on the demand variability

About You

• Degree holder in Business related preferably majoring in Supply Chain, Logistics Management
• Minimum 5 - 10 years work experience in similar capacity
• Advanced level in MS Excel and other MS office applications
• Strong analytical capability, good negotiation and planning skill
• Good understanding on data and how that leads to impact decisions
• Possess good understanding of supply chain concepts, statistical forecasting and related processes
• Understands DC operational routines
• Strong in Project Management (will be involved in Projects)
• Experience in managing suppliers

Benefits

• Team Member Discount
• Subsidized Medical and Dental Benefits
• Training Opportunities
• Career Advancement

As a Data Engineer assigned to the Test/Product Department, you will be working with various internal teams to develop Smart Engineering solutions through Artificial Intelligence and Machine Learning.

Responsibilities:

• Work with Test/Product Engineers, Process and Equipment Engineers, IT and other relevant departments collaboratively to develop data science solutions that will improve test output, yield, quality and process capability.
• Utilize various techniques in statistics and statistical modelling, machine learning and data engineering to extract insightful information from existing device test and manufacturing data.
• Prepare and generate Industry 4.0 initiatives and proposals for review and implementation.

Requirements:

• Bachelor’s Degree in Electrical Engineering, Computer Engineering, Computer Science or related field.
• Experience in Semiconductor Data Science will be an advantage.
• Background in Artificial Intelligence, Machine Learning, Statistical Techniques for Modeling and Simulation is preferred.
• Proficient in coding using Python and other related languages.
• Good communication and interpersonal skills.
• Excellent project management, analytical and problem-solving skills.
• Able to work independently and as a team.

Job Summary:

Salary package: Basic $2800 - $3200 + VB

Working hours: Mon to Fri 9am - 6pm
Working location : Kallang

Job Responsibilities:

- Handling incoming sales calls, emails and leads. Sourcing new leads from Tender Portals.

- Creating, compiling, and submitting tender documents.

- Assisting in preparing quotations and proposals for sales team.

- Providing all necessary administrative support, including the preparation of maintenance contract renewal notices and services sales reports to track renewals.

- Providing administrative support to the Marketing Team, with a primary focus on sales-related activities.

- Assisting in the development of marketing materials and projects/events related to marketing.

- Supporting the Head of Operations and MD in all other administrative matters.

- Assist to match supplier invoices with the necessary documents and key into the system Other ad-hoc duties as assigned.

Requirements:

- Minimum Diploma in any discipline or A Level
- New entry welcome or min 1 year of working experience or max 3 years working experience entry welcome Knowledge of MS Office, Teams

- Able to work independently

How to apply:

By submitting any application or resume to us, you will be deemed to have agreed and consented to us disclosing your personal information to prospective employers for their consideration.

We regret that only shortlisted candidates will be notified.

Lau Jie Xi

Registration Number: R21103272

EA Licence No: 16C8004 (Elitez Pte Ltd)

I am hiring for my client, one of the global asset management firms.

• Responsibilities: Ensure data quality, monitor anomalies, and proactively detect issues; explore and analyze data, communicating findings clearly; standardize monitoring methodologies and drive automation for system improvement.

• Requirements: Strong technical background in data processing, proven track record in automation; focus on enhancing system reliability and resilience; ability to collaborate effectively across teams; methodical problem-solving skills.

• Technologies: Proficiency in Python, C#, Scala, Java, or Go; experience with SQL, Pandas, Elasticsearch & Kibana, Snowflake; familiarity with Docker, Kubernetes, Helm, Flux; exposure to ETL/ELT technologies like Airflow, Argo, Dagster, Spark, and Hive.

Salary: up to $4000

Duration: 1 year direct contract

Working Days & Hours: Mon-Fri Office Hours

Location: Kent Ridge

Job Description:

• Oversee overall clinical operations related to the conduct of the clinical trials.

• To adhere to compliance with Research Governance, Good Clinical Practice, Data Protection and Ethical Requirements.

• To ensure the study and study procedures are conducted in accordance with the study protocol

• To participate in patient recruitment.

• To ensure study entry criteria are fulfilled.

• To ensure informed consent procedure is followed.

• To coordinate patient visits for future tests and procedures.

• To schedule visit according to study protocol.

• To organize and participate in site initiation visit.

• To work in collaboration with study team to ensure trial preparedness.

• To monitor patients throughout the study to ensure study drugs are given according to protocol requirement.

• To arrange for clinical and laboratory investigations to be carried out according to protocol

Job Requirements: Min Diploma/Degree in Life Sciences or similar

Interested candidates, please submit your resume to: [email protected]

Ally Audrey Lok Xin Woon

Recruit Express Pte Ltd (Healthcare & Lifescience)

Company EA Licence number : 99C4599

Personnel EA License: R21102307

[email protected]

Data Migration Officer (3-Months)

We are looking for driven individuals to support the data migration work for a new system.

Job Responsibilities:

• Execute data entry tasks with precision and accuracy, ensuring completeness and consistency of migrated data
• Conduct data validation checks to identify and rectify all discrepancies and errors during the migration process
• Develop and maintain proper documentation for data migration processes to ensure transparency and traceability
• Perform data cleansing and transformation activities to enhance data quality and integrity
• Troubleshoot and resolve issues related to data migration, escalating complex problems to the appropriate teams-in-charge
• Collaborate with IT and other departments to ensure data security and compliance with data protection regulations
• Any other ad-hoc tasks assigned by Senior Manager, Information & Technology

Job Requirements:

• An individual who is able to commit at least 3 continuous months of service. Fresh graduates are welcome to apply.
• Excellent communication skills to interact with diverse internal stakeholders and collaborate effectively within the team
• Meticulous attention to details to ensure data accuracy
• A diploma/certificate in Computer Science, Information Technology or Legal-related studies is preferred

Please write to us with your full curriculum vitae and indication of your current and expected salary to [email protected].

(Only shortlisted candidates will be notified)

• Good Bonus - AWS + 3 month Variable Bonus / Permanent Role

Engineer / Electrical engineer / Project Engineer / Junior & Senior & Engineering can apply

• Entry level / Junior / Senior / No experience welcome apply X 3 Opening

• Full training provided

Responsibilities:

§ Perform database and software configuration

§ System integration of SCADA, Network Monitoring and Computer Systems

§ Perform Functional and Integration Testing

§ Perform site testing & commissioning

§ Conduct trainings to customers

§ Warranty support and maintenance of delivered projects

Requirements:

§ Diploma/Degree in Electrical/Electronic/Mechatronics/Computer Engineering from a recognised Polytechnic/University

§ Experience/knowledge om SCADA/PLC & HMI in Power System Control or Environmental Control System is an added advantage

§ Software knowledge in C/C++/Unix Scripting is an added advantage and will be considered for software related works.

§ Our benefits and compensation for permanent position are as follows:

§

§ Salary for experience candidates will be considered based on the years of experience and our internal salary structure

§

§ 1 month AWS

§ Variable Bonus ranging from 1 to 3 months depending on individual and company performance

§ Working hours: 8.00 am to 5.00 pm / 8.30 to 5.30 pm / 9.00 am to 6.00 pm / 9.30 am to 6.30pm / 10.00am to 7.00pm

§ Working days: Monday to Friday (1 day work from home per week)

§ Annual Leave: 14 days up to 17 days for non-executive (Assistant Engineer and below)

§ 18 days up to 21 days for executive (Engineer and above)

§ Medical benefits of $500 per financial year (Benefit is extended to spouse and children (below 21 years old) of married employees)

§ Insurance coverage: Hospital & Surgical (Benefit is extended to spouse and children (below 25 years old) of married male employees and child (below 25 years old) of married female employees)

§ Term Life

§ Personal Accident

§ Maternity Insurance for female employee and spouse of male employee on the birth of their 1st 2 children claimable up to delivery bill of $6,000.00 whichever is lower.

§ Flex Dollars of $500 per financial year

§ Free annual year-end Health Check-Up

§ Monthly Birthday Party Celebration

§ Monthly Sports Activities

§ New Born Gift

§ CSR Initiatives

§ Department Bonding Activities

§ Biennial team building and staff appreciation dinner

§ Gym Corner for employees to exercise

§

§ Good Pay + Good allowance + Good Bonus

§ Interested candidates please send an updated Resume / CV in Ms Word format to [email protected] or WhatsApp’s your resume to 98332779 ( no Calls)

§ Consultant in-charge : Quah Li Lian (Lilian) ( Registration No: R1983286 )

Responsibilities:

• Analyze the Authority’s data needs and document the requirements.
• Refine data collection/consumption by migrating data collection to more efficient channels.
• Plan, design and implement data engineering jobs and reporting solutions to meet the analytical needs.
• Develop test plan and scripts for system testing, support user acceptance testing.
• Work with the Authority’s technical teams to ensure smooth deployment and adoption of new solution.
• Ensure the smooth operations and service level of IT solutions.
• Support production issues - Track record in implementing systems with high availability, high performance, high security.

Requirements:

• Good understanding and completion of projects using waterfall/Agile methodology.
• Good understanding of analytics and data warehouse implementations.
• Ability to troubleshoot complex issues ranging from system resource to application stack traces.
• Strong SQL, data modelling and data analysis skills are a must.
• Hands-on experience in big data engineering jobs using Python, PySpark, Linux, and ETL tools like Informatica.
• Track record in implementing systems using Hive, Impala and Cloudera Data Platform will be preferred.
• Hands-on experience in DevOps deployment and data virtualization tools like Denodo will be preferred.
• Understanding/ Hands on experience of reporting or visualization tool like SAP BO and Tableau will be beneficial but not required.
• Passion for automation, standardization, and best practices
• Good written and verbal communication and interpersonal skills, ability to understand the business requirement, communicate confidently with stakeholders.

Interested candidates may send their resumes to [email protected], or apply through the application system. Shortlisted candidates will be contacted.

Flamingo Recruitment Pte Ltd EA License : 21C0588

The Head, Data will play a key role in the Digital and Information Technology department, support the Director in developing data analytics and AI strategy and initiatives. He/she will take responsibility in overseeing the development of the IT data analytics platform, managing teams, and ensuring efficient and effective of data to support business decision.

RESPONSIBILITIES

• Assist Director in developing and implementing the organization's data analytics and AI strategy in alignment with its business goals and objectives;
• Lead, manage and mentors a team of analytics and AI professionals of different backgrounds; promoting collaboration, and ensuring effective communication and coordination;
• Identify training and development needs, providing opportunities for skill enhancement and career growth for team members;
• Establish data governance policies and procedures to ensure data quality, security and compliance with regulatory requirements, ensure effective data management and utilization;
• Manage projects progress, identify and mitigate risks, and resolve any issues or challenges;
• Collaborate with business stakeholders, other IT teams and partners, to identify data-driven and AI opportunities and drive business value;
• Oversee the design and implementation of data infrastructure, architecture and systems, including data warehouses, data lakes, and business intelligence tools;
• Ensure utilization and adoption of developed analytics products by embedding data and insights into digital applications and business processes;
• Perform outsourcing management to ensure that contractual obligations are met and projects needs; Manages vendor relationships and ensure vendors fulfill per contract requirements;
• Manage IT procurement, evaluate vendor proposals, make recommendations for vendor selection and procurement decisions;
• Ensure compliance with applicable laws, regulations and industry standards regarding data privacy, security and IT operations;
• Stay current with industry trends, emerging technologies, and best practices in data management and analytics;
• Foster positive relationships and effective communication channels;
• Brief and train business stakeholders on developed analytics products;
• Maintains and updates the quality records according to the standard guidelines on identification, filing, storage, maintenance, and disposition of these records.
• Covers duties of fellow colleagues in their absence
• Performs any other job related duties as assigned.

REQUIREMENTS

• Bachelor’s or Master’s degree in computer science, information systems, statistics, or a related field.
• More than 10 years of working experience with at least 3 years in managing team, with track record of managing data analytics projects
• Strong understanding of data governance, data quality, data security and regulatory compliance requirements.
• Excellent Interpersonal and leadership skills to manage multiple projects at one time with the ability to work in a fast-paced environment
• Good knowledge of project management both waterfall and agile include managing contracts, project budgets, work breakdown structures, and systems integration
• Proficiency in data technologies and tools, such as SQL, Hadoop, Spark, Python, R, Tableau and machine learning framework
• Strong understanding of cloud-based data platform and analytics technologies (e.g Azure data factory, databricks etc)
• Familiarity with AI tools and their application in enhancing data insights and user efficiency
• Strong strategic thinking and problem solving abilities
• Possess healthcare domain knowledge

Avensys is a reputed global IT professional services company headquartered in Singapore. Our service spectrum includes enterprise solution consulting, business intelligence, business process automation and managed services. Given our decade of success we have evolved to become one of the top trusted providers in Singapore and service a client base across banking and financial services, insurance, information technology, healthcare, retail and supply chain.

We are currently looking to hire Data Scientist/ Analyst. This is an exciting opportunity to expand your skill set, achieve job satisfaction and work-life balance. More details as below.

JOB TYPE

1-year renewable contract

Responsibilities:

• Drive analytic projects for all pillars of the bank’s treasury and markets department, such as bond analytics, news generation FX trading signals and customer hyper-personalization.
• Create appropriate data visualisations, utilising PowerBI, Tableau and other appropriate tools like Python for effective storytelling.
• Utilize advanced statistical and machine learning methods to derive insights and predictions from large volumes of transactional, operational and customer data.
• Create predictive ML models to provide recommendations to front office traders and dealers.
• Write and refactor code into reusable libraries/ APIs/ tools, deploy machine learning ecosystems/ pipelines and perform sub-system integration as required.
• Participate in Generative AI (GenAI) and Document AI (DocAI) initiatives for news recommendation, customer pitch generation and market data collation
• Perform hypothesis testing and experimentation to discover causal drivers for customer and market behaviours.

Required Experience:

• Bachelor/ masters in a quantitative discipline, such as Mathematics/Statistics, Business Analytics, Computer Science, Engineering, or equivalent experience.
• Working knowledge in data visualization tools such as PowerBI, Tableau or equivalent
• Expert working knowledge and hands-on experience using Python and SQL.
• Demonstrable understanding and application of varied AI/ML concepts and models, their mathematical underpinnings, and trade-offs
• Practical experience using quantitative and statistical techniques to solve business problems such as hypothesis testing, regression, causal and correlation analysis, etc.
• Excellent verbal and written communication skills to explain insights from technical work to non-technical audience through presentation or other means.
• Experience working with unstructured data (text, images, audio) and application of NLP/ Computer Vision techniques and deep-learning and transformer models.

Key Skills:

Python, machine learning, SQL, Tableau, Power BI, Generative AI (GenAI), NLP, Computer Vision, hypothesis testing, communication, visualization, financial markets, transformer, deep-learning.

WHAT’S ON OFFER

You will be remunerated with an excellent base salary and entitled to attractive company benefits. Additionally, you will get the opportunity to enjoy a fun and collaborative work environment, alongside a strong career progression.

To submit your application, please apply online or email your UPDATED CV in Microsoft Word format to [email protected]. Your interest will be treated with strict confidentiality.

CONSULTANT DETAILS

Consultant Name: Keerthana Ramakrishnan

Avensys Consulting Pte Ltd

EA License 12C5759

Privacy Statement: Data collected will be used for recruitment purposes only. Personal data provided will be used strictly in accordance with the relevant data protection law and Avensys' privacy policy.

Sales and Project Engineer

• Working Days: Monday - Friday
• Working Hours: 8.45am to 6.15pm
• Working Location: Island wide (Client Site)
• Office Location: Boon Lay Way
• Salary: $2500 - $4000 + Transport Allowance

RESPONSIBILITIES

• Achieve individual sales target by conducting the full sales cycle of lead generation, follow-up, service delivery and closure of transaction.
• Plan and oversee daily activities in meeting the project progress and quality goals.
• Provide continuous after sales support such as helping customers identify problems with installed equipment (if any), recommending improved material, machinery or parts for replacement and maintenance.
• Continuously improve on own’s knowledge on supplier’s products with the aim to introduce technology that add value to the customers.
• Review sales activities with the management on a weekly basis, including the status of prospective customers, plans to meet sales goals and status on deadlines.
• Working with the Sales Manager, produces report regularly to communicate with supplier on sales activities and status of project.
• Ability to travel within Singapore as required up to 70% of the time.Occasional travel beyond Singapore

Requirement

• Diploma or Degree in any engineering fields.
• Prior experience in a similar industry with similar sales cycle with proven track record of success.
• Experience in developing and executing sales strategies
• Prior experience with tender systems such as Gebiz
• Class 3 Driving License is a must, with or without own car welcomed to apply

Penny Hu Yaping (R22111011)

Jobs Alley Pte Ltd (21C0599)

A. EastSpring Investments (Singapore) Limited is developing user centric and finance focused data platforms (ERP, EPM and Data Lake) to support the firm’s strategic initiatives and global growth opportunities.

B. These platforms will assist the Finance function in the execution of its business-critical control responsibilities as well as supporting business decision making with modern finance analytics and insights.

C. This project will deliver end to end data capabilities for the Finance function and other relevant stakeholders covering data modelling, reporting, dashboarding and the development of any tooling requirements to support business growth.

· Financial Reporting Quality Control:

Be responsible for exploring and implementing improvements to ensure top-notch quality in Financial Reporting. Leverage innovative systems, streamline workflows, and provide comprehensive training to maintain the integrity and accuracy of Financial Reports and Management Information.

· Advisory and Decision Support:

Rapidly respond to the financial requirements of our Business Units (BU) by analyzing complex accounting matters and providing astute professional judgments. Collaborate with the international finance team to oversee and manage group-wide accounting reporting issues, demonstrating a holistic approach to financial governance.

· Information Integration and Analysis:

Drive the establishment and maintenance of effective information-sharing mechanisms between BU finance and the broader Group finance function. Conduct thorough analysis on Business Group fFnancial Reports and present findings to senior management. Contribute significantly to the group's Financial Planning & Analysis (FP&A), working closely with the international finance team to ensure accurate financial disclosures, forecasting, and budgeting, thereby providing robust financial insights for strategic decision-making.

· Process Optimization and Risk Management:

Spearhead the design and implementation of process improvements across the entire finance organization, identifying potential risk areas and ensuring effective control measures are in place. Your efforts will result in enhanced operational efficiency while mitigating risks within the financial reporting structure.

· Finance Data Analytics:

Become a data subject matter expert (SME) across platforms, finance and business topics, helping to build data pipelines, delivering financial insights to drive forward our businesses and embedding these as self-serve capabilities within our platforms, where appropriate.

Responsible for driving forward the development of data models for new products, business lines and platforms capabilities to support data flows from Finance operations to FP&A Functions.

Collaborate closely and partner with data scientists, engineers, analysts and Business Intelligence analysts across the region and platforms, at the business group, enterprise and global level to deliver moderately complex analytical solutions to address business needs.

Job Responsibilities:

· Develop data pipelines to deliver commercially focused financial insights and analysis, both at Project Delivery level and subsequent enhancements

· Own the design of finance data schemas, partnering closely with finance stakeholders and data engineers

· Identifies requirements for onboarding of additional data sources into our data lake and various data requirements underpinning the platforms (including but not limited to ERP and EPM)

· Supports finance in ad-hoc data analytics or deep dive analysis, working alongside data engineers and BI analysts to develop long term solutions as appropriate

· Partner with product developers on the more complex data aspects of their feature delivery

· Ensures appropriate documentation, controls and testing are in place to support your features at all times, working alongside our controls manager on these aspects (including but not limited to End-to-End Data handshakes and integrations)

· Collaborate and work with EastSpring’s parent company Prudential on all Master Data Management related matters, including Enterprise-wide applications. Enable the broader organizations focus on insights by maximizing the value of our data and digital core investment

· Be the GO-TO person for all Finance Data related matters and Subject Matter Expert (SME)

Key Accountabilities

· Gather functional requirements and develop user stories working directly with business stakeholders to enable business insights.

· Filter, clean and prepare data to support data reporting and analysis.

· Gather requirements, create user stories, resolve solution gaps, architect and model dashboards and build standardized data visualization models to deliver sustainable, effective and efficient reporting and analytical solutions.

· Partner with leadership and the team to identify and manage the core set of metrics needed to measure performance.

· Evaluate the performance of processes, services and outcomes and drive performance improvement.

· Partner with teams to develop a detailed understanding of the business and offer collaborative and technical solutions to solve business problems.

· Independently solve moderately complex issues with minimal supervision, while escalating more complex issues to appropriate staff.

· Other duties as assigned

Required qualifications, capabilities, and skills:

· Bachelor’s degree or equivalent in accounting, finance, data analytics, computer science or related fields. Numerical with good understanding of accounting and finance domain requirements, basic finance concepts and business insights is a MUST;

· Prior relevant Finance experience in asset management companies, FP&A, Data Analytics and demonstrated knowledge on fund related matters preferred;

· Demonstrated knowledge on business and regulatory matters relating to fund management Industry;

· Minimally 3 years’ experience in data analysis, business intelligence or data modelling. Ability to master massive amounts of data through various integrated platforms, preferably with data lakes, is a MUST;

· Excellent and good practical experience in Advance Excel and / or SQL coding capabilities. Preferably, with experience in RPA and Power Query; PBF tool Knowledge eg. Hyperion Finance Management / OneStream systems and Oracle ERP will be an added advantage;

· Ability to work in collaborative, cross-functional, agile teams as well as independently, including experience in managing stakeholders in different regions and across functions

· Self-starter and highly self-motivated, ability to lead discussions with clarity of thoughts and able to handle ambiguities, strong analytical and problem-solving skills, ability to meet tight deadlines, hands-on approach, independent and resourceful in solution delivery;

· Strong communication skills, both written and verbal, ability to write business requirements and drive execution of solutions

· Detail-oriented with a strong commitment to accuracy and quality

· Ability to understand project complexities and lifecycle to break it down into smaller, attainable tasks, including collaboration with stakeholders to investigate, triage, and solution data

Data Center Engineer

ITCS Group, a Smart IMS Company, is an IT Managed Services, Outsourcing and Talent-Sourcing company. We provide customised IT Consulting Solutions, Project Management, IT resourcing and on/off-shore Application Development Services across the Asia Pacific region.

We are currently looking for a Data Center Engineer to design, optimize, and implement data center infrastructure.

Responsibilities:

- Design, configure, and implement data center infrastructure.

- Install and provision hardware and software systems.

- Perform regular maintenance tasks (power, cooling, cabling).

- Monitor performance, identify and address issues to minimize downtime.

- Collaborate with stakeholders to manage space, power, cooling, and security.

- Develop and maintain documentation, provide reports and support audits.

- Troubleshoot data center related issues escalated by other teams.

Requirements:

- Proven experience in Data Center engineering

- Knowledge in network and computing technologies in Data Center

Additional Information:

- Location: HarbourFront

- Working hours: Monday to Friday, 9 am to 6 pm.

- Salary will commensurate with experience

Interested applicants are invited to apply directly at the NUS Career Portal.

Your application will be processed only if you apply via NUS Career Portal.

We regret that only shortlisted candidates will be notified.

Job Description

Applications are requested for Research Engineer position on climate change, risk assessment of compound droughts and floods using the latest AI techniques and complex network theory under the supervision of Prof. He Xiaogang, Assistant Professor in the Department of Civil and Environmental Engineering at the National University of Singapore (NUS).

Job Requirements

• At least a bachelor degree in civil engineering, hydrology, water resources engineering, optimization, seasonal forecasting, machine learning, or from similar programs.
• Extensive experience in developing complex computer codes, e.g. in Python, R, or Shell.
• Ability to construct and write papers for leading research journals and conferences.
• Good written and spoken communication.
• Open to fixed-term contract.

✔️ Salary: Basic $2200 - $2500
✔️Mon- Sat (8.00am - 5.15pm), No OT
✔️ Location : Tuas (Company transport provided at Pioneer & Jurong West)
✔️Permanent Role + AWS

Job Inquiry:

Role Purpose

In addition to applying advanced statistical and machine learning techniques, the Data Scientist takes on additional responsibilities related to team leadership and technology focus. This role requires strong technical expertise and the ability to guide and mentor a team of data scientists.

How will you contribute to the success of DHL?

• Collaborate with stakeholders to define data science strategies, objectives, and priorities.
• Drive the development and deployment of complex predictive models and machine learning algorithms.
• Accountable for data science input into the design, development, and implementation of major solutions, and where necessary methodological direction provided to direct reports.
• Accountable (owns) the completeness and accuracy of the Analytics Requirements.
• Owns the configuration and Implementation of data science models using the agreed technologies components (e.g., Python).
• Able to manage multiple deployments concurrently.
• Ownership of Analytics Quality assurance and testing for solutions within the scope of the domain.
• Lead and manage data scientists assigned within product development, providing technical guidance, mentorship, and performance feedback.
• Communicate data science initiatives and results to senior management and other relevant stakeholders.
• Update the team with the latest advancements in data science technologies and tools and assess their potential impact on the team's work.

Requirements

• Advanced degree or equivalent experience in the quantitative field: Statistics, Mathematics, Computer Science, Engineering, Data Science, or Analytics.
• 4+ years of experience in statistical / ML data modeling and business intelligence/data mining.
• Diverse knowledge of where to apply and how to evaluate results of statistical, machine learning, and data mining techniques.
• Fluency in programming languages\frameworks: SQL, Python, TensorFlow.
• Strong visual design skills used in creating information-dense, easy-to-understand reports and dashboards (with examples): Tableau, MS Power BI, Python, or JavaScript-based visualizations.
• Working knowledge of Agile and DataOps.
• Must be able to work collaboratively with cross-functional cross-geographical teams to analyze and understand business needs.
• Good knowledge of at least two functional areas: customer relationships and sales, freight forwarding/express/e-com/logistics operations, pricing, customer service, aviation operations, finance, and billing.
• Excellent communication and presentation skills (English), including translating technical concepts for non-technical stakeholders.

As an Associate, you’ll be exposed to a diverse scope of work, namely:-

• Cybersecurity assessment – Assess clients’ security posture through the performance of host configuration review against industry benchmarks, vulnerability assessment, penetration testing, architecture review and cybersecurity risk assessment.
• Technology regulatory compliance review – Assess clients’ compliance against the technology regulations such as Singapore Cybersecurity Act and related Cybersecurity Codes of Practice, MAS Technology Risk Management Guidelines, MAS Cyber Hygiene, and more.
• Data privacy / protection – Advise clients on data privacy / protection measures impact through the study of their business and data processes based on data privacy regulations (e.g. Singapore Personal Data Protection Act, General Data Protection Regulation (GDPR)) and best practices.

Required Skills

• Final year students with Science, Technology, Engineering or Mathematics degree, or other degree with specialisation in IT will be considered
• Possess interest in cybersecurity and data protection
• Ability to work both independently and as part of a team
• Strong verbal communication and interpersonal skills

Next Step:

You will receive an email from us to complete pymetrics within 3 working days of your application submission. Pymetrics is a series of engaging online games that will assess cognitive, behavioural and emotional traits. This allows us to learn more about you and gives us insights into where you will thrive the most in our business.

Note:

• Please note we accept only one application per candidate. You may indicate your second preference in the same application. We recommend that you apply to your preferred position that closely aligns with your skills, passions and interests.
• You can indicate another role in the same application form. Duplicate entries will slow down your application with us.
• Kindly upload both your resume and degree audit or transcript in PDF format all under Resume attachment upload
• Kindly note only shortlisted candidates will be contacted.

Got a question? Email to [email protected].

There have been reports of scammers impersonating PwC HR professionals contacting individuals about fraudulent job opportunities using non-PwC domain email addresses and an overseas number. Please note that genuine communications from our HR team will only come from "@pwc.com" email address.

My Client is a Singapore head quartered global company that provides Big Data & Analytics solutions on the Cloud using a SaaS model that harnesses poly-structured data from myriad sources at the right latency, derives Insights and converts Insights to appropriate business Actions. They have a strong team of Data Scientists and Domain Experts who provide Consulting and Managed Services to realise business benefits using Big Data.

What you'll do:

• Responsible for meeting revenue targets leveraging own contacts, lead generation activities and alliance partners
• Manage the opportunity from sales pursuit to close using deep sales process and offering expertise. Act as point of contact for resolution and escalation of all the key items with the client and internally.
• Target the right clients, grow quality pipeline, win profitable deals, and manage sales activities to create mutually beneficial, trust-based relationships that create value.
• Generate and build client relationships leading to qualified opportunity identification and involvement throughout the sales cycle, often without an existing client relationship or opportunity.
• Create a direct relationship with the owner or decision-makers of enterprise companies in Singapore.
• Interact with senior management levels at a client, which involves negotiating or influencing significant matters.

What we look for in you!

• Minimum of 5 years experience selling Cloud (IaaS or PaaS) and/or analytics services.
• Possess any of the cloud fundamentals certifications
• Have sold deals of data warehousing, analytics solutions
• Have positioned winning strategy development and value proposition development
• Proven ability to work creatively and analytically in a problem-solving environment
• Excellent communication (written and oral) and interpersonal skills

Desired Candidature

• Has prior experience in leading and closing multi-year deals.
• Having some prior experience in selling cloud services-based data warehousing or analytics/ data science solutions.
• Ability to identify a client problem statement and craft a value proposition that provides specific outcomes addressing the client's problem.
• Ability to provide solutions to complex business problems for area(s) of responsibility where analysis of situations requires an in-depth knowledge of organizational objectives.
• Ability to originate new opportunities.

about the company

Our client is a globally trusted partner providing reliable Data Centres across the world. Currently they are looking for a Senior/Project Manager to support the delivery of small to large scale data centre projects.

This role needs to work with other departments such as Design and Procurement Department to manage the project delivery. You are expected to manage your team to deliver the projects from the beginning to the end. And then handover the projects to the Operations Teams and end users/tenants.

about the job

• Overall in charge of the construction of projects and make sure projects completed within quality, safety, costs and time.
• Lead or assist in providing technical support and planning during pre-construction stage. Lead Deputy Project Managers and Engineers to come out of the costs and planning structure for prospective deal engagements.
• Lead (or assist) in the execution of approved projects’ quotation and/or tendering process.
• Work with asset owners, clients, consultancies, contractors, vendors to make sure project delivery.
• Site project management and track project schedule based on the approved schedule.
• Cost reports including forecasted cash flow of project expenditures, monitoring spending of cost against approved budget, forecast project expenditures, etc.
• Tracking and evaluation of Contractor Claims, Variations, Delay, EoT and Delay Damages
• Work closely with Safety Managers to ensure construction safety compliance.

skills & experience required

• Degree in Project Management, Mechanical, Electrical, Civil Engineering or equivalent
• Minimum 5 years of relevant experience in the Project Management of mission critical facilities
• Experience in managing Data Centre Greenfield Construction is ideal but experience in the construction of pharma/ microelectronics projects also highly desirable
• Clear understanding of commercial & financial processes (Invoicing, approvals etc).
• Highly proficient in Microsoft Office (Word, Excel, Power Point).
• Willingness to travel for business trips.

If you are interested in the position, kindly send your CVs to wenyu.jiang (@) randstad.com.sg.

Please include your availability, expected salary and reason for leaving current job.

We regret that only shortlisted candidates will be contacted.

(EA: 94C3609 / Reg: R1332558)

Location: West

Position: Corporate Planning Executive (Job ID: 18847)

Job Description

• Analyze data to identify trends, patterns, and insights that drive business growth.
• Develop and maintain dashboards and reports that monitor key performance indicators and provide insights into business performance.
• Develop and maintain data models and algorithms that support business decision-making.
• Work with relevant stakeholder to drive the project forward and ensure smooth and successful project delivery.
• Ensure all the data is collected, stored, and processed in a secure manner.
• Provide regular reports and presentations to senior management on business performance, market trends, and competitor analysis.
• Prepare PPT presentation and minute of meeting.
• Perform other ad-hoc project and duties assigned by Management.

Job Requirement

• 3-5 years of working experience is ideal, preferably in the field of Corporate Planning, Business Development or Sales & Marketing.
• Strong analytical skills in data analysis, conceptualization and problem solving skills.
• Understanding of statistical analysis techniques and methodologies.
• Ability of visualizing workflows and translating them into digital mediums. E.g. Word, PowerPoint, and Excel.
• Attention to detail with strong organizational and time management skills.
• Proficiency in Japanese at N2 level will be an advantage to liaise with Japanese speaking stakeholders and make presentations in Japanese.

We regret that only shortlisted candidates will be notified. Other applications will be updated to our database for future job opportunities.

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Effective from 1 October 2020 under the new Employment Agencies (EAs) Licence Conditions,

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Lee Xin Hui

EA Registration No: R22108046

Pasona Singapore Pte Ltd

1 FINLAYSON GREEN ＃09-02 SINGAPORE 049246

EA License No:90C4069

JOB SUMMARY

Standard Chartered Bank has embarked on an ambitious journey to revolutionize the Trade client digital journey by developing several client facing solutions that compete not just with the Financial Institutions but also with the new breed of Fintech companies. The revenue ambitions of the Trade business for 2023 are $1.4B and product & digital integration core to ensuring this vision is delivered and is responsible to drive the Trade data agenda with our corporate and institutional clients.

RESPONSIBILITIES

Strategy

· Responsible and accountable to exploit the value of Trade Finance information assets and its analytics in cooperation with Transaction Banking Product, Digital Channels and Data Analytics (DCDA), Trade Operations and Technology

· Lead strategy and the development of data and analytics products in cooperation with DCDA, Trade & Cash Product Development, Sales, Compliance and other to assure that solutions are aligned to the business strategy, released on time, on budget and with high quality.

· Partner with product engineering heads to develop Data, Analytics and Innovation domain roadmaps, adoption of real time streaming and batch-processing platform/Hadoop platform

· Support implementation of Cloud-based SaaS/PaaS/IaaS offerings for Data Solutions and leverage cloud enabled technologies and toolset for Data and Analytics domain

· Influence Data & AI architecture governance strategy

· The strategy alignment includes following pillars

· Data Strategy (Data Sourcing, Data Quality, Data Visualization & consumption)

· Machine Learning Pipeline / Tool Strategy / Platform Strategy

· Third-Party Platform / in-house Strategy

· Hosting Strategy for Data Analytics (In-House / Cloud Platforms)

· Visualization and Data Democratization (Facilitate the evolution to self-service analytics and data preparation)

Business

· Chief Product Owner for Data Initiatives

· Develop roadmap to accelerate adoption of data analytics, Machine and AI within Trade Finance & working Capital Solutions across various domains incl. Operations, Sales, FCC, Fraud & Credit Risk

· It should include (but not restrict to) prediction solution (e.g. Trade pricing) , recommendation solution (Cluster Analysis, Recommend Trade products to clients based on behaviour/profile), network analytics (Social Network analytics) and anomaly detection (Fraud)

· Exploitation of big data and the liberation of data to the business, using a combination of open source, cloud and various tools and techniques for data analytics, machine learning, mining, and visualization.

· Convert Analytic scope & roadmap into actionable deliverables (incl. User Stories & Verification)

· Leverage of Analytics tools that utilize the data pipeline to provide actionable insights for the business users, operational efficiency

· Increase Business AI understanding to increase adoption and acceptance

· Support business in tracking and monitoring the commercialization process of initiatives

Processes

Innovation

· Application of a broad and current industry perspective on technology trends/opportunities, alternate solution providers, leading practices, and our relative position

· Demonstration of technology thought leadership, foster productive stakeholder relationships, and build strong sponsorship of our technology architecture and roadmap.

· Understanding and influencing Open Account, Documentary Trade and Distribution strategy, ensuring it’s informed by current and emerging technology capability and supported by our architecture and roadmap

· Evaluate vendors to find solution that best fit our functional and technical architecture

· Incubation of various Data, ML & AI solution together with stakeholders from business & operations to constantly search for opportunities to increase sales, optimize processes and mitigate risk.

· Support Strategic Initiatives and Partnerships

People & Talent

· Build and lead data and analytics team for Trade Finance

· Define job roles related to Data Science, recruit candidates (if needed) and manage a team of data and analytics leaders/members

· Develop talent in Data across partners

· Develop a learning environment & learning strategy based on formal training and training on-the-job. Train and upskill team (Data Engineering / Data Scientist / ML Experts / Business Intelligence

· Foster teamwork, respect and collaboration across ITO function, DCDA and other stakeholders

· Foster a culture of innovation. Build the appropriate culture and values to be a role model. Acquire new skills to keep up the system update to date and to align bank wide new initiatives

Data Analytics, Machine Learning & AI Delivery

· Drive and manage the development and deployment of Trade and Working Capital data and analytics platform.

· Incubate and propose innovative solution to business and stakeholders

· Design analytical solutions/experiments to solve various strategic business problems in Trade Finance and Working Capital through engagement and research

· Data squads to manage and deliver the lifecycle of a data science projects across four phases

· Data management & Data sourcing

· Data Engineering & Data Science

· Machine Learning & Analytics

· Data Visualization & Provision of AI microservices endpoints for consumptions

· Develop and communicate data analytics, ML & AI vision that supports the broader organizational vision

· Ensure team culture consistently demonstrates alignment with SCB principles and its aligned to SCB’s business and technology strategy. Influence your team’s technical and business strategy by making insightful contributions to team priorities and approach.

· Own the development, implementation, and delivery of successful large-scale project

· Manage cost effective delivery of data to respective teams which are up-to-date, comprehensive, and easy to consume (incl. data dictionary, feature engineering), which includes big data (structured and unstructured) as well as provision of transactional data

· Take the lead in identifying and solving ambiguous problems, architecture deficiencies, or areas where your team’s software bottlenecks the innovation of other teams. Make solutions simpler and reusable.

· Governance and Responsible AI

· Feedback data and analytics oversight on data governance to executive sponsorship, business, and risk committee (e.g. Sustainability Refinement or NFRC Technology Working group)

· Ensure all regulatory, compliance and internal control requirements are met. Develop and execute plans for QPR approval to mitigate any risk / non-compliances

· Identify and standardize the use and governance of data and analytics in support of the enterprise's business strategy.

· Responsible AI – incl. the governance of data and algorithms used for analysis, analytical applications and automated decision making in TB. Ensure that model used are responsible and explainable. Manage Responsible AI as Business Risk Owner for Trade Finance

· Ensure data quality (DQMF) is applied for data analytics and AI projects

· Adherence to Risk & Data Quality Management Requirements

· Risk and Audit Continuous management of the Trade Application System risk

· Proactively identify issues and actions

· Monitor and remediate issues and actions from audits

· Awareness of the regulatory requirements and ensuring these are catered for in the platform design

· Portfolio Management Planning & Budget

· Identify, prioritize and execute the data and analytic initiatives with clear line of sight to enterprise strategies and business outcomes incl. revenues, cost efficiencies & risk mitigation

· Maintenance of Trade Finance level data, AI & ML technology roadmaps encompassing application and related infrastructure services.

· Delivery within given budget, management of internal and external cost and strive for optimal delivery and sourcing solutions

· Processes & New Ways of Working

· CCIB moved to the New Ways of Working and the delivery is managed in squads lead by the Product Owner and/or augmented by Subject Matter Expert, Business Analysts, Developers, and testers. Therefore, ensure that data, ML & AI solutions is delivered in the spirit of New Ways of Working

· CPO to present and report book of work in QPR/MPR

· Support data refinement session in order to agree on next 90 days deliverables. Manage and support the LuW process for data analytics, ML & AI related enhancements

· Always optimize accuracy & velocity of squads

· Identify, design, and implement internal process improvements: automating manual processes, optimizing data delivery, re-designing infrastructure for greater scalability, etc

Regulatory & Business Conduct

· Display exemplary conduct and live by the Group’s Values and Code of Conduct.

· Take personal responsibility for embedding the highest standards of ethics, including regulatory and business conduct, across Standard Chartered Bank. This includes understanding and ensuring compliance with, in letter and spirit, all applicable laws, regulations, guidelines and the Group Code of Conduct.

· Effectively and collaboratively identify, escalate, mitigate and resolve risk, conduct and compliance matters.

Key Stakeholders

· Technology Engineering teams in Trade

· Trade Solution Engineering Team

· Architect

· DCDA

· Product Management Cash, Trade & Working Capital Solutions

· FSCO / Compliance teams

Stakeholder Management

· Coordinate with resources and teams across different locations

· Capability development/mentor team members

Other Responsibilities

· Embed Here for good and Group’s brand and values, Perform other responsibilities assigned under Group, Country, Business or Functional policies and procedures; Multiple functions (double hats)

Our Ideal Candidate

· Degree in Software Engineering, IT, Computer Science, or related fields. Degree in computer science, engineering, applied mathematics or have a degree in other related IT fields.

· 10+ years’ experience with a proven track record of working in the product management or channel management functions in Trade Finance/Transaction banking.

· 5+ years of working experience in data ecosystem (Spark, Python/Scala, TensorFlow) with on Data Science, Machine Learning and Artificial Intelligence

· 5+ Experience in Transaction Banking domain; Good Understanding of Trade Finance, Working Capital Solutions and Cash Management

· Experience in working in an agile environment

· Very good understanding of Machine Learning models such as Recurrent Neural Networks, Network Analytics, Regression, Anomaly Detection & Clustering

· Understanding of multiple programming languages, especially related to Data Science (Python, Scala, TensorFlow, R)

· Understanding of distributed platforms Apache Spark, Data Warehouse, Apache Hadoop, Amazon Web Services (AWS), ETL (extra, transform, load), Big data analytic. Data visualization technologies, Data mining of social media data, Risk modelling, Artificial Intelligence

· Related Data Engineer/Analyst certifications are beneficial (e.g. AWS / Azure Solution Architect, IBM Certified Data Engineer, AWS & Azure Machine Learning / AI specialist etc.)

· Comprehensive functional and technical knowledge in Transaction Banking through practical experience in defining and delivering technology solutions

· Current and deep Data and Analytics domain market insights.

· Strongly developed strategic, analytical and communication skills evidenced by experience in formulating strategic scenarios, evaluating trade-offs within a robust commercial framework, developing related financial models and designing practical execution plans.

· Ability to synthesize complex issues/scenarios into easy-to-understand concepts

· Demonstrated analytical ability, problem deconstruction, statistical competency, meticulous analysis skills, data validation, and scientific rigor

· Fluency in a range of statistical data analysis and machine learning

· Effective communication skills

Role Specific Technical Competencies

· Pertinent first-hand experience and a proven track record of working in the product management and development functions in Transaction banking or Data Science

· Good understanding of the product development lifecycle using Agile Methodology and relevant prior experience in drafting vision statements, epics and user stories, use cases documents, solution papers, business workflow documents and high-level design documents.

· Deep understanding of the transaction banking domain with a profound ability to conceive and design end-to-end product flows, define interface requirements, identify relevant operational processes and clearly articulate these flows and processes to the relevant business and technology workgroups.

· Very good understanding of Machine Learning models such as Recurrent Neural Networks, Network Analytics, Regression, Anomaly Detection & Clustering

· Understanding of technology; proven ability to translate technology possibilities and solutions to business / client usage opportunities will be an added advantage.

About Standard Chartered

We're an international bank, nimble enough to act, big enough for impact. For more than 160 years, we've worked to make a positive difference for our clients, communities, and each other. We question the status quo, love a challenge and enjoy finding new opportunities to grow and do better than before. If you're looking for a career with purpose and you want to work for a bank making a difference, we want to hear from you. You can count on us to celebrate your unique talents. And we can't wait to see the talents you can bring us.
Our purpose, to drive commerce and prosperity through our unique diversity, together with our brand promise, to be here for good are achieved by how we each live our valued behaviours. When you work with us, you'll see how we value difference and advocate inclusion. Together we:

· Do the right thing and are assertive, challenge one another, and live with integrity, while putting the client at the heart of what we do

· Never settle, continuously striving to improve and innovate, keeping things simple and learning from doing well, and not so well

· Be better together, we can be ourselves, be inclusive, see more good in others, and work collectively to build for the long term

In line with our Fair Pay Charter, we offer a competitive salary and benefits to support your mental, physical, financial and social wellbeing.

· Core bank funding for retirement savings, medical and life insurance, with flexible and voluntary benefits available in some locations

· Time-off including annual, parental/maternity (20 weeks), sabbatical (12 weeks maximum) and volunteering leave (3 days), along with minimum global standards for annual and public holiday, which is combined to 30 days minimum

· Flexible working options based around home and office locations, with flexible working patterns

· Proactive wellbeing support through Unmind, a market-leading digital wellbeing platform, development courses for resilience and other human skills, global Employee Assistance Programme, sick leave, mental health first-aiders and all sorts of self-help toolkits

· A continuous learning culture to support your growth, with opportunities to reskill and upskill and access to physical, virtual and digital learning

· Being part of an inclusive and values driven organisation, one that embraces and celebrates our unique diversity, across our teams, business functions and geographies - everyone feels respected and can realise their full potential.

· Recruitment assessments - some of our roles use assessments to help us understand how suitable you are for the role you've applied to. If you are invited to take an assessment, this is great news. It means your application has progressed to an important stage of our recruitment process.

Visit our careers website www.sc.com/careers

Role Description: As a key contributor to JLL's Data-Driven Design, Innovation, and Strategy team within the APAC Work Dynamics business, your focus will revolve around fortifying various innovation projects and initiatives. This includes leveraging data insights, strategizing forward-thinking approaches, and implementing solutions that fuel business growth.

Key Responsibilities:

• Collaborate with team members to scout and capitalize on opportunities for improvement across a variety of in-house projects. These include the Work Science program, which aims to create dynamic, responsive workplaces that boost employee productivity and well-being. You will also work on projects focusing on the development of data-informed benchmarks to measure and improve organizational performance and on strategizing effective investment governance models to propel innovation and drive growth.
• Collect, parse, and analyze data to provide insights that bolster innovation initiatives, particularly those aimed at enhancing physical, digital, and human experiences in workplaces.
• Assist in drafting and fine-tuning project governance documents and policies, ensuring adherence to established industry standards and best practices.
• Work closely with consulting, PDS/Design, and Workplace Experience teams to support the implementation of the Work Science program.
• Contribute actively to the creation of new processes and tools designed to enhance business performance and support continuous improvement initiatives.
• Take part in team meetings resolutely, providing timely progress updates, ideating, and sustaining effective communication across all organizational levels.

Background/Experience:

• Strong analytical skills complemented by acute attention to detail.
• A qualification in a scientific or analytical discipline is preferred but not required.
• Demonstrated capability to work both independently and as an integral part of a multidisciplinary team.
• Excellent communication skills, with proven ability to convey complex data insights in an accessible and clear manner.
• A strong interest in and experience with data analysis, innovation, and design, ideally with exposure to the intersection of disparate disciplines.
• Experience in preparing, editing, and publishing academic or scientific content material.
• Proven experience working with both technical and business leaders, with a demonstrated knack for understanding and translating requirements between the two.
• Adaptability in a fast-paced, evolving work culture and comfort with stepping beyond traditional confines to pursue innovative solutions.

Your role here will involve shaping the future of high-performance environments within JLL, contributing to industry benchmarks, and revolutionizing workplace design.

Shifts: 24/7 shifts and support work required;

Flexibility in working hours to accommodate shift work requirements.

Role : Contract

Min 10 + years Experience

Experience with financial institutions or banking systems is a must .

The ideal candidate will utilize their analytical and programming skills to analyze business requirements, design, develop, and implement solutions based on a well-defined software development life cycle (SDLC). The role will involve working on both COBOL and Golang programs, as well as providing support during 24/7 shifts and support work. Flexibility in working hours is essential to meet the demands of the role.

Responsibilities:

• Analyze business requirements and design/develop COBOL and Golang programs.
• Create and execute testing scripts, and support test managers with delivering bug fixes during testing phases (system integration/user acceptance).
• Investigate and troubleshoot testing/production issues, communicating with business partners to identify gaps between requirements and expectations.
• Participate in Agile practices such as sprint planning, daily stand-up meetings, and contribute to sprint retrospectives to improve processes and executions.
• Document changes required in the system.
• Provide 24/7 shifts and support work as necessary, ensuring systems are operational and resolving any issues promptly.
• Maintain flexibility in working hours to accommodate the demands of shift work.

Qualifications:

• Bachelor’s degree in Computer Science, Mathematics, or related field.
• Extensive experience in programming languages including Golang, COBOL.
• Proficiency with mainframe technologies such as CICS, Eztrieve, JCL, DFSORT, MVS, OS/390, TSO/ISPF, IDCAMS, VSAM.
• Prior experience in providing 24/7 shifts and support work is preferred.
• Flexibility in working hours to accommodate shift work requirements.

NTT DATA, a global leader in digital business and IT services, offers a thriving environment for career growth and excellence. Recognized as a "Top Employer 2023" in multiple countries, NTT DATA's commitment to talent acquisition, values, and ethics creates an outstanding workplace. With a diverse community of over 140,000 innovators worldwide, competitive benefits, and a focus on innovation,

NTT DATA empowers employees to drive transformation in cloud, data, and applications. This is an opportunity to join a culture of collaboration, and impactful contributions, whether you're an experienced professional or a recent graduate, on a journey toward a more connected and sustainable future.

COLLECTION, UTILIZATION, AND DISCLOSURE OF PERSONAL DATA: NTT DATA will assess and evaluate your suitability for employment, appointment, or continued engagement within any position within our organization.

Roles and Responsibilities

● Design, develop and maintain models (machine learning / simulation) and optimization methods to support business and operational processes.

● Develop the pipelines to train, validate and deploy these models across various environments.

● Design product experiments and interpret the results yielding impactful conclusions.

● Perform statistical data analysis & visualization to find answers and new insights to important business questions.

● Participate in technical discussions across the team through code reviews, RFC or architecture review sessions.

Requirements

● At least 2 years of experience working as a Data Scientist or an advanced (Masters, PhD) degree in a related field (computer science, statistics / mathematics, operations research, economics, etc).

● Strong knowledge of data science fundamentals and statistics, with experience in data analysis, modelling (machine learning / simulation)and optimization methods such as linear programming.

● Good understanding of experimental design and methodologies such as A/B testing or multi-arm bandits.

● Experience with modern software development practices: version control, refactoring, unit tests.

● Proficient in Python or R, SQL (PostgreSQL preferred).

● Experience applying data science in end-to-end production use cases: from data cleaning, feature engineering through to model training and inference.

Preferred qualifications

● Experience with geospatial analysis.

● Experience with real-time inference.

● Experience with time series forecasting, pricing strategies.

● Hands-on experience with ride-hailing/car-sharing use cases, consumer apps, or adtech/martech use cases.

● Familiar with AWS data analytics services.

● Experience with FastAPI (Python), Flask (Python), or similar.

● Experience with Spark.

● Experience deploying models to production.