Key Responsibilities:

• Design and implement algorithms to process and analyze large-scale datasets.
• Build, fine-tune, and optimize large-scale models using frameworks such as LoRA (Low-Rank Adaptation) and DeepSpeed.
• Collaborate with cross-functional teams to integrate AI workflows using AIFlow.
• Develop and optimize data pipelines and workflows using Apache Spark.
• Write and execute complex SQL queries to analyze structured and unstructured data.
• Perform exploratory data analysis (EDA) and create insightful visualizations.
• Develop and maintain Python-based scripts and applications for data processing and automation.
• Work with large-scale datasets to ensure data quality and integrity.
• Document processes and findings to support informed decision-making.

Requirements :

• Knowledge or academic experience with algorithms and their implementation.
• Hands-on experience with frameworks such as LoRA, DeepSpeed, or similar AI tools (academic or project-based experience is acceptable).
• Familiarity with Spark and distributed data processing techniques.
• Proficiency in SQL for data analysis and querying.
• Programming skills in Python, with a focus on data manipulation libraries (e.g., Pandas, NumPy).
• Understanding of handling large data volumes and related optimization techniques.
• Exposure to data visualization tools like Tableau, Power BI, or Matplotlib.
• Basic knowledge of machine learning frameworks such as PyTorch or TensorFlow.
• Familiarity with data versioning tools and workflow orchestration frameworks.
• Strong analytical thinking and problem-solving abilities.

Disclaimer: The company is committed to ensuring the privacy and security of your information. By submitting this form, you consent to the collection, processing, and retention of the information you provide. The data collected (which may include your contact details, educational background, work experience and skills) will be used solely for the purpose of evaluating your qualifications for the position you're applying for. Your data will be stored securely and retained for the duration necessary to fulfill our hiring process. If you are not selected for the position, your data will be kept on file for a limited period in case future opportunities arise. You have the right to access, correct, or delete your data at any time by contacting us at Quess Singapore | A Leading Staffing Services Provider in Singapore (quesscorp.sg)

InfoCepts is a global leader of end-to-end data & analytics solutions with nearly 20 years of experience, also named as Gartner’s 2020, 2021 and 2022 customers’ choice for Data & Analytics providers. We continue to grow rapidly year over year, now employing more than 1,200 people in offices across the globe. As we have grown, we have stayed true to our mission—to always help our customers stay modern that help them make smart, data-driven decisions. Since 2004, we have deployed hundreds of high performance analytics applications over web and mobile platforms, built several advanced analytics models, processed petabytes of data using Big Data technologies and delivered several high impact business solutions. Driven by our vision of delivering great customer experiences, we are looking for professionals who are passionate about making the world a better place by leveraging the power of data.

We are hiring QlikSense professionals to handle BI Development end-to-end, as well as to join us in our cause to help customers stay modern, ahead of the Technology curve!

Location: West (Tiong Bahru)

Roles and Responsibilities:

• Use SQL scripts to extract data from primary and secondary sources
• Develop dashboards and data visualizations to serve business needs using QlikSense
• Use Python scripts and QlikSense to clean, process, transform and visualize data
• Removing corrupted data and fixing coding errors and related problems
• Developing and maintaining data in databases, data systems – reorganizing data in a readable format
• Performing analysis to assess quality and meaning of data
• Filter data by reviewing reports and performance indicators to identify and correct code problems
• Using statistical tools to identify, analyze, and interpret patterns and trends in complex data sets that could be helpful for the diagnosis and prediction
• Preparing reports for stakeholders stating trends, patterns, and predictions using relevant data, with the aim of driving stakeholder action on their businesses/functions
• Building dashboards and curating data stories for use cases

Skills Required:

• Strong proficiency in Python scripting skill is essential
• Prior experience with QlikSense is essential
• Prior experience with QlikSense Data Load Editor is majorly advantageous
• Knowledge of how to create and apply the most accurate algorithms to datasets in order to find solutions
• Knowledge of at least one database tool such as MySQL, MS SQL and/or PostgreSQL
• Strong mathematical skills to help collect, measure, organize and analyze data
• Adept at queries with good communication and stakeholder management skills

• 8 - 10 years of IT Security experience in administration and management of IT Security technologies primarily Symantec Data Loss Prevention, Symantec Endpoint Protection, Data Classification and other endpoint & data security solutions;

• Knowledge of different domains of IT Security;

• Working & hands-on experience in administering the IT Security Solutions;

• Must have experience in working in similar Production setup in Run (Operations) mode;

• Ability to apply risk based approach while working on assigned responsibilities;

• Experience in defining, implementing, and enforcing enterprise-level IT security policies for endpoint and data security solutions;

• Must have working experience in managing endpoint security solution for a Large enterprise level environment, working experience in financial organization is preferred;

• Excellent in analytical, communication and documentation skills;

• Ability to organize work and be able to priories work as per the needs of Production Operation’s needs;

• Must have strong understanding of ITIL processes and comfortable working in process oriented environment;

• Ability to work independently and as well as a part of team and is able to work under minimal supervision;

Responsibilities

• Good understanding of concurrent software systems and building them in a way that is scalable, maintainable, and robust
• Experience in designing application solutions in hadoop ecosystem
• Deep understanding of the concepts in Hive, HDFS, yarn, Spark, Spark sql, Scala and Pyspark HDFS file formats and their use cases (eg Parquet, ORC, Sequence etc)
• Good knowledge in data warehousing system
• Experienced in any scripting language (SHELL, PYTHON)
• HortonWorks distribution and understanding on SQL engines (Tez, MR)
• Java/RestServices/Maven experience is a value addition
• Control-M development. Monitoring Resource utilization using Grafana Tool
• Good skillset to create automation scripts in Jenkins & knowledge in working on automating builds, test frameworks, app configuration etc
• Experience in implementing scalable applications with fully automated deployment and control using Bitbucket, Jenkins, ADO etc
• Any other ad-hoc duties as assigned by supervisor.

Requirements

• Mandatory: Big Data – Hive, HDFS, Spark, Scala, Pyspark.
• Good to have : Schedulers (Control-M), ETL Tool – Dataiku , Unix/Shell scripting , Knowledge of Integration services of FileIT/MQ and others , CI/CD tools – Jenkins, Jira, ADO Devops – tools suite , Oracle .

Interested applicants, please email your resume to Andre Chua Jing Ming

Email: [email protected]

CEI Reg No: R1989053

EA Licence No: 99C4599

Recruit Express Pte Ltd

Job Description

• Desired Candidate Profile Technology Engineering Expertise
• 5 years of experience in implementing data solutions using GCPSQL programming
• Proficient in dealing data access layer RDBMS NOSQL
• Experience in implementing and deploying Big data applications with AWSGCP Big Data Services
• Must have excellent SQL skills
• Experience with different development methodologies RUP Scrum XP Soft skills Able to deal with diverse set of stakeholders
• Proficient in articulation communication and presentation
• High integrity
• Problem solving skills learning attitude
• Team player Key Responsibilities
• Implement data solutions using AWSGCP and need to be familiar in programming with Java
• Ensure clarity on NFR and implement these requirements
• Work with Client Technical Manager by understanding customer’s landscape

EA Number: 11C4879

Responsibilities

• Good understanding of concurrent software systems and building them in a way that is scalable, maintainable, and robust
• Experience in designing application solutions in hadoop ecosystem
• Deep understanding of the concepts in Hive, HDFS, yarn, Spark, Spark sql, Scala and Pyspark
  HDFS file formats and their use cases (eg Parquet, ORC, Sequence etc)
• Good knowledge in data warehousing system
• Experienced in any scripting language (SHELL, PYTHON)
• HortonWorks distribution and understanding on SQL engines (Tez, MR)
• Java/RestServices/Maven experience is a value addition
• Control-M development. Monitoring Resource utilization using Grafana Tool
• Good skillset to create automation scripts in Jenkins & knowledge in working on automating builds, test frameworks, app configuration etc
• Experience in implementing scalable applications with fully automated deployment and control using Bitbucket, Jenkins, ADO etc
• Any other ad-hoc duties as assigned by supervisor.

Requirements

• Mandatory: Big Data – Hive, HDFS, Spark, Scala, Pyspark.
• Good to have : Schedulers (Control-M), ETL Tool – Dataiku , Unix/Shell scripting , Knowledge of Integration services of FileIT/MQ and others , CI/CD tools – Jenkins, Jira, ADO Devops – tools suite , Oracle .

Interested applicants, please email your resume to Andre Chua Jing Ming

Email: [email protected]

CEI Reg No: R1989053

EA Licence No: 99C4599

Recruit Express Pte Ltd

• Design and implement methods, processes, and systems to aggregate and analyze diverse, unstructured data, providing actionable insights for management.
• Develop software programs, algorithms, and automation tools to clean, integrate, and analyze large datasets from multiple sources.
• Work closely with business experts to enhance data and uncover valuable insights to create practical solutions.
• Automate repetitive data tasks to streamline processes and minimize manual work.
• Create clear and effective data visualizations to communicate findings and recommendations to stakeholders.
• Stay informed on the latest developments and best practices in data science, machine learning, and AI.
• Assist the Global IFF Business Control team with various tasks and project requirements.
• Support administrative duties and handle ad-hoc tasks assigned by the Head of Department.

Requirements:

• Diploma in Data Science, Statistics, Computer Science, Mathematics, or a related field.
• 1–2 years of experience in a data science role; experience in a similar industry is a plus.
• Proficiency in programming languages such as Python, R, SQL, and PowerShell, with experience in data manipulation and analysis libraries.
• Familiarity with data visualization tools like Power BI and the ability to effectively communicate complex analyses to non-technical stakeholders.
• Strong problem-solving and analytical skills, with the ability to translate business needs into data-driven solutions.

We regret only shortlisted candidates will be contacted. All applications will be handled confidentially. By submitting your application, you agree to the collection, use, retention, and disclosure of your personal information to prospective employers.

Wecruit Pte Ltd

EA License No: 20C0270

The Routing Data Analyst will support the Global Carrier Network Operations function

through the analysis of data and trends about quality, cost, and client traffic behaviour of our

SMS and Voice Products. This key-role will help the Vonage API platform, to onboard

customers’ traffic, optimise Cost or Quality, and a fine balance between the two.

You will

● Own part of the Routing table for the Global Carrier Network team (Use/Create insights

from available data, Analyse data for decision making) with focus on Quality and Cost.

● Perform complex analysis: type of traffic, Cost VS Quality, Price.

● Resolve Quality Alerts to maintain QoS according to given industry standards.

● Manipulate and transform the routing table’s selections for optimising Cost or Quality for

new and existing customers for a set of regional countries.

● Identify solutions/improvements of our internal tools and work with key stakeholders

(Product/Engineering) to eliminate blockers of day-to-day tasks.

● Provide Data analysis for other function stakeholders (Product, Engineering, Sales etc) to

support cross-functional needs.

● Perform operational day-2-day tasks and work towards continuous maintenance of the

service levels specified for our SMS of Voice termination SLOs with internal and external

stakeholders.

Essential for the Role (Must Have)

● Educated to degree level.

● At least 2-3 Years of experience on Cost/Price or Voice and SMS routing or Tech

Support position.

● Proficient in MS Office/Google equivalent data analysis Tools.

● Exposure to Business Intelligence tools (e.g. PowerBI, Tableau etc) or similar.

● Strong analytical skills.

● Ability and willingness to work in a global, fast-paced environment.

● Flexible with the ability to adapt working style to meet objectives.

● Excellent communication and analytical skills.

Nice to have for the Role:

● Project Management experience

● Telecommunications industry exposure.

● API and Cloud communications Industry exposure.

● Confluence JIRA tool

● Zendesk ticketing system.

Note: The role requires working 1-2 weekends or bank holidays per calendar month.

Job Description:
We are seeking a skilled Data Engineer with expertise in AWS cloud computing and database administration to join our team. In this role, you will design, implement, and manage scalable data solutions while maintaining and optimizing databases to ensure high performance and reliability..

Job Responsibilities:

• Design, deploy, maintain, and optimize database systems (Oracle, MySQL, SQL Server), including installation, configuration, backup, and recovery.
• Monitor and optimize database performance to improve response time, stability, and reliability.
• Plan and expand database capacity to ensure scalability and meet business requirements.
• Deploy and manage cloud infrastructure on AWS, including servers, networks, storage, and other resources, to provide a stable and reliable environment.
• Create, configure, and maintain AWS services to align with business needs, selecting appropriate services based on requirements.
• Implement and manage monitoring tools to track the performance and operational status of databases and AWS environments, proactively identifying and resolving potential issues.
• Collaborate with cross-functional teams to deliver efficient, scalable, and reliable cloud and database solutions.

Job Requirements:

• Bachelor’s degree or higher in Computer Science, Information Systems, or related fields.
• Minimum of 3+ years of experience in database administration (with hands-on experience in Oracle, MySQL, or SQL Server).
• Strong experience with AWS services and managing cloud infrastructure.
• In-depth knowledge of database performance tuning, troubleshooting, and optimization techniques.
• Familiarity with cloud networking concepts and using monitoring tools for AWS environments.
• Strong communication and problem-solving skills to handle technical challenges effectively.

This role is 1-year contract role (till 31 Dec 2025).

Job Responsibilities:

• Perform administrative duties including data entry, filing, and retrieving of files.
• Letters preparation, checking on letters and documents.
• Scanning and indexing documents
• Sorting & dispatch of documents
• Creation of records and Input of security documents information in system
• Comply with the Company’s and/ or customer’s Workplace Safety and Health (WSH) requirement, guidelines, and relevant codes of practices.
• Other ad-hoc administrative duties as assigned by Superior.

Job Requirement:

• At least Diploma in any field.
• Minimum 1 year working experience in an office and or data entry working environment.
• Candidates without relevant experience may be considered based on merit.
• Basic computer knowledge and skill, preferable knowledge in Microsoft office (excel and/ or word)
• Must be able to communicate in English.
• Good attitude, willing to learn and able to follow instructions.
• Able to perform overtime work as and when required.
• Working Location: Jurong East or Changi Business Park. (This role will be deploying to Customer's premises)

Want to be a part of the fastest growing startup to help make a difference in our environment? Cedars Digital is looking for a Data Scientist (AI) to be part of our growth!

We are a passionate team that is excited about building carbon management solutions & the potential to disrupt with the latest AI technologies. We are looking for like-minded individuals to join our Engineering team - if you have the passion in creating an impact and/or are keen in the space of environmental sustainability, we want you!

Here is what you are expecting to be doing:

• AI solution development and strategy implementation for improving the process of laborious operations including but not limited to ESG consultant operation time.
• Conduct research and POC to stay up-to-date with the latest advancements in AI and integrate new techniques into projects.
• Design and optimize chatbot systems with LLM and prompt engineering for the efficiency of internal business processes.
• Develop and enhance recommendation systems to provide carbon factors.
• Collaborate effectively with AI/ML engineers, PM and others to deliver high-quality AI solutions.
• Ensuring reproducibility, scalability, and reliability of ML models.
• Experiencing a wide range of end-to-end ML development life cycle, including framing AI problems, data collection/preprocess/exploration, model development/evaluation.
• Learn state-of-the-art AI techniques and skills to efficiently conduct POC.

Skills that will help you in this role:

• MS in Math, Stats, CS or Engineering related fields.
• 2-5+ years of experience in AI development, with a proven track record of successful projects.
• Excellent problem-solving and analytical skills, with the ability to tackle complex challenges.
• Experienced in Deep Learning Framework (Pytorch or Tensorflow), Machine Learning and open-source platform e.g. ONNX, Hugging Face.
• Deep knowledge of ML/AI algorithms and their limitations and applications.
• Strong communication and teamwork skills with a collaborative approach to deliver.
• Programming skills in Python and experience with version control systems like Git.
• Solid experience in developing and fine-tuning models.
• Bonus, but not a must: Familiarity with Natural language processing (NLP) and Computer vision domain. Familiarity with docker/K8s and cloud service e.g. GCP, Azure and Amazon. Ability to build testing environment for POC

Why join Cedars Digital?

Come onboard this journey of transformation. Cedars Digital’s exclusively developed AI carbon emission calculation system involves the integration of AI algorithms and big data analysis. Through this, we aim to help enterprises complete greenhouse gas inventories and product carbon footprint calculations. We have big dreams as we want to be able to help them adapt to global carbon policies and enhance their sustainable competitiveness. Working with a vibrant and closely knitted team like ours provides you an environment to discover and develop your potential. With many learning opportunities, you get the chance to further your own personal and career development with us.

Job Description:

We are seeking a motivated and enthusiastic Recruitment Officer to join our team. In this

role, you will play a vital part in sourcing, screening, and coordinating candidates for various

positions across the organization. This is an excellent opportunity for individuals looking to

grow their career in recruitment, with training provided.

Responsibilities:

• Source and attract candidates through platforms such as LinkedIn, job boards, social

media, and referrals.

• Coordinate and schedule interviews, acting as a liaison between candidates and hiring

managers.

• Maintain accurate tracking reports on the recruitment progress, including the status

of candidates at different stages of the hiring process.

• Assist with onboarding processes and necessary paperwork for successful candidates.

• Support the recruitment team in meeting hiring targets and objectives.

• Participate in internal recruitment events and campaigns as needed.

• Perform other ad hoc duties as assigned by management.

Requirements:

• Candidate must possess at least a Diploma in any field.

• Strong verbal and written communication skills in English;

• Proficiency in an additional language is a plus.

• Detail-oriented with strong organizational and time-management skills.

• No prior experience required; training will be provided.

Remuneration:

• Competitive base salary plus commission and performance bonus.

• Working hours: 10:00AM to 7:00PM (Mondays to Fridays).

• Benefits include annual leave, medical leave, and medical welfare.

If you’re passionate about people and eager to grow within a dynamic environment, we’d love to hear from you!

Senior Manager, Data (Gain Theory)

About Gain Theory
Gain Theory is a global marketing effectiveness consultancy, that uses data and analytics to deliver successful business outcomes for clients. Our vision is to inspire marketing excellence by helping marketers focus on the right data, not ‘big data’, asking and answering the questions that drive business value. We pair consultancy and technology to foster a data-informed culture that helps to drive sustainable business growth.

Gain Theory is part of WPP, a creative transformation company that uses the power of creativity to build better futures for its people, planet, clients, and communities.

What’s the Vision?
Gain Theory’s vision is to accelerate growth for ambitious brands and our mission is to deliver this growth by empowering smarter, faster, data-informed decisions.

The Role: What will I do?

The role of Sr. Manager of Data is a highly visible role within the team and organization. As a Sr. Manager of Data, you will have direct client responsibility, management responsibility for your team, and be a technical lead for your direct reports and others. You will report to the Director of Data for your client squad.

The Sr. Manager of Data is responsible for several areas of the business:

• Accountable for designing, delivering, and maintaining all aspects of the data management process for any assigned clients
• Direct oversight of, management of, and full accountability for work delivered by all junior data resources (some may be in other global offices/time zones) for any assigned clients
• Balancing getting the data perfect or in very good modeling shape versus the demands of the clients around what is required
• Identifying, building, and automating data collection solutions for various data sources including ad servers, social networks, DSPs, search engines, etc.
• Building relationships and owning communications with key data owners and contacts to ensure timely delivery of accurate, clean data
• Project management of all data activities for assigned clients including managing timelines, identifying/mitigating known risks, communicating impact to downstream dependencies, etc.
• Regularly meet with client leads and line manager to coordinate account planning and client project initiatives. This includes providing resource estimates and expected timing to ensure proper staffing
• Support the data lead for all assigned clients providing key information for all internal and/or cross-client initiatives as needed
• Train and support the use of new data techniques, best practices, and tools standardized by the Data Center of Excellence

Qualifications

• Background (6-8 years+) in Marketing, Statistics, Computer Science, Information Science, Engineering, or related quantitative field
• In-depth experience with all things data including the ability to work with a variety of datasets from multiple sources, familiarity with standard data processing tools/concepts (e.g. SQL, ETL), and experience driving robust QA processes
• Familiarity with DBT is highly valued
• In-depth experience of the advertising ecosystem (e.g. ad trafficking, Ad servers, DSPs, Media Strategy and Activation, etc.) and a working knowledge of appropriate metrics, measurement, and reporting
• Media agency experience will be highly valued
• Can lead requirements gathering, project planning, and implementation for both cross-functional internal data initiatives as well as client-side data projects
• Has project management skills including planning tasks and deliverables, managing timelines and risks, managing team resource allocation, and overseeing multiple simultaneous projects
• Ability to manage and motivate Gain Theory team members
• Organized, detail-oriented, QA-focused
• Experience/familiarity with Multi-Touch Attributions solutions and/or Market Mix Modeling will be highly valued
• Experience with key reporting solutions such as Tableau / Power BI will be highly valued
• Excellent written, verbal, and presentation skills

Values and Behaviors I Demonstrate

Joining Gain Theory means joining a group of people who live, breath and behave by our values:

• Be Curious: continuously asking, understanding, learning, and developing.
• Be Positive: approaching everything we do with a positive mindset and making positive impact on each other.
• Act with Consideration: seeing things from someone else’s perspective; respecting and embracing diverse thinking.
• Make it Better: continuous improvement and stretching our abilities, being honest with ourselves and each other.

Gain Theory is committed to actively building a diverse, equitable and inclusive workplace where everyone feels welcomed, valued and heard, and is treated with dignity and respect. As leaders and creative partners across industries, it is our responsibility to cultivate an environment reflective of our greatest asset; our people. We believe that this commitment inspires growth and delivers equitable outcomes for everyone as well as the clients and communities we serve.

Gain Theory is a WPP-owned consultancy. For more information , please visit please visit our website and follow Gain Theory on our social channels via LinkedIn and Twitter .

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.

Our client is a global data engineering company focused on driving Generative and Traditional AI innovation for leading technology companies and enterprises.

Role Overview: You will evaluate, and rate search results related to mobile applications based on their relevance, quality, content, and functionality. You will use screenshots to assess the app’s quality and provide ratings and explanations accordingly. Ratings must always be accompanied by a concise comment, explaining why the rating was chosen in alignment with the provided guidelines.

Key Responsibilities:

• Review search query results and app screenshots to assess the app’s content, design, and functionality.
• Rate app results on a scale of Perfect, Excellent, Good, Acceptable, or Unacceptable.
• Provide a clear and concise explanation in the comment box for each rating, even if the comment is optional (always mandatory).
• Understand and apply different query intents (e.g., App Navigational, Functional, Developer Navigational) when rating results.
• 3 Classifications on the type of content they would be analysing - Video Search Relevance Rating, Music Search Result Rating, App Search Result Rater. However, which candidate will access which type of content would be at client’s discretion.

Requirements:

• Fresh graduates & Part-time working moms are welcome too
• Role is 100% hybrid / WFH structure
• 20 hrs a week, 4 hrs a week (flexible)
• Use your own device (laptop or desktop preferred) to complete the job.
• Maintain consistent access to a reliable internet connection.

EA Licence Number: 23C2060 Registration ID is R1983662

Disclaimer: The company is committed to ensuring the privacy and security of your information. By submitting this form, you consent to the collection, processing, and retention of the information you provide. The data collected (which may include your contact details, educational background, work experience and skills) will be used solely for the purpose of evaluating your qualifications for the position you're applying for. Your data will be stored securely and retained for the duration necessary to fulfill our hiring process. If you are not selected for the position, your data will be kept on file for a limited period in case future opportunities arise. You have the right to access, correct, or delete your data at any time by contacting us at Quess Singapore | A Leading Staffing Services Provider in Singapore (quesscorp.sg)

Senior Data Scientist

Job Overview:

We are seeking a talented and experienced Senior Data Scientist to drive actionable insights and advanced analytical solutions within our client’s organization. In this role, you will lead the design and implementation of data models, ensuring they deliver measurable improvements to business performance, customer engagement, and decision-making processes.

Key Responsibilities:

• Act as the primary source of data insights, supporting both internal teams and external stakeholders with valuable, actionable information.
• Analyze complex datasets and transform findings into meaningful business insights, drawing from a variety of customer touchpoints and data sources.
• Lead the creation and execution of advanced quantitative frameworks, such as scalable predictive models, customer segmentation strategies, and advertising optimization techniques, to enhance business outcomes.
• Champion data science best practices, tools, and methodologies, establishing high standards across teams and projects.
• Develop internal benchmarks and standards, ensuring consistency and quality in analytical processes.
• Collaborate with cross-functional teams to understand business needs, capture data requirements, and resolve any conflicting data or architectural issues.
• Ensure compliance with internal governance policies regarding customer data and facilitate effective data measurement through accurate data capture.
• Become an internal expert on the client’s data tools and resources, guiding the organization in leveraging these assets effectively.
• Support ad-hoc business intelligence requests and strategic initiatives across the company.

Qualifications:

• A PhD or Master’s degree in Statistics, Mathematics, Machine Learning, Operations Research, Computer Science, or a related field.
• At least 5 years of hands-on experience in data science, with a proven track record of developing and deploying data models, including recommendation systems.
• Strong expertise in applying a wide range of analytical techniques to solve commercial challenges, with proficiency in at least one statistical analysis tool.
• Hands-on experience with distributed databases and query languages, along with proficiency in at least one programming language (e.g., Java, C++, Python).
• Exceptional business acumen with the ability to identify core business objectives, interpret diverse quantitative data, and generate actionable insights for key stakeholders.

Who we are

Crédit Agricole Corporate and Investment Banking (Crédit Agricole CIB) is the corporate and investment banking arm of Crédit Agricole Group, world’s 12th largest bank by total assets.

· Our Singapore center (“ISAP” or “Information Systems Asia Pacific”) is the 2nd largest IT setup (after Paris Head Office)” for Crédit Agricole CIB's worldwide business. We work daily with international branches located in 30 markets by:

- Envisioning and preparing the Bank’s futures information systems

- Partnering and supporting core banking flagships and transverse areas in their large scale development projects.

- Providing premium In-house Banking applications,

· This unique positioning empowers us to bring our core banking business a sustainable competitive advantage on the market.

· We seek innovative and agile people sharing our mindset to support ambitious and forthcoming technological challenges.

The Department

Capital Markets IT (CMI) is the IT department within the bank focused on solutions related to Capital Markets. Capital Markets IT involves technology solutions and systems used in financial markets for trading, investment, and related activities. This includes electronic trading platforms, risk management systems, market risk, counterparty risk, algorithmic trading, data analytics, and Regulatory measures. The use of advanced technologies like cloud and artificial intelligence is also becoming increasingly prevalent in capital markets to enhance efficiency and decision-making processes.

Job Responsibilities

· Responsible for the design, development, maintenance of applications and systems as well as IT production and management of the Bank's technical infrastructures.

· At the forefront of technological innovation, its teams provide technical and functional support for the development activities and projects of the various Corporate and Investment Banking professions in an international environment.

· Develop and implement advanced machine learning and deep learning models to automate and transform business processes in the capital markets value chain

· Use and create data science models to produce strategic insights, develop sophisticated predictive models and deploy solutions meeting current standards.

· Use generative AI models to create synthetic financial data, simulate market scenarios, generate new investment ideas, automate post-trade processes, and enrich seller interactions with relevant stakeholders.

· Collaborate with quantitative analysts and traders to design solutions based on artificial intelligence.

· Develop a product mindset on the exploitation of AI models to improve and build functional blocks in the IS ecosystem

· Work closely with technical and business teams to resolve complex problems.

Travel: Occasional

Qualifications and Profile

Experience required 10 years minimum in an IT functional architecture position or equivalent role

· Expertise in machine learning, deep learning, generative AI and MLOps.

· Knowledge of data management practices to clean, preprocess and transform data sets for model training

· Mastery of AI algorithms and frameworks (e.g., Tensorflow, PyTorch, Scikit, etc.)

· Knowledge of GEN AI and LLM technologies on the public Cloud using RAG patterns

· Understanding the ethical principles to better generate embeddings for GenAI.

· Expertise in Python, .NET or Java, DevOps / MLOps / LLMOps (GitLab CI/CD, Kubernetes, AWS Cloud

Other Professional Skills and Mindset

· Excellent problem-solving and analytical skills.

· Effective communication skills and ability to work collaboratively in a team.

· Excellent Aptitude, Curious to learn and inquisitive.

· Autonomous, self motivated and excellent team player.

Education Requirements

At least a Bachelor’s degree in any of these faculties:

· Computer Science

· Information Technology

· Programming & Systems Analysis

· Science (Computer Studies)

Responsibilities:

• Develop and manage database solutions for storing and retrieving company information.
• Install and configure information systems to ensure functionality.
• Analyze and design structural requirements for new software and applications.
• Migrate data from legacy systems to new solutions.
• Design conceptual and logical data models and flowcharts.
• Improve system performance through testing, troubleshooting, and integration of new elements.
• Optimize both new and existing database systems.
• Define security and backup procedures.
• Collaborate with the Data Science team to identify future needs and requirements.
• Provide ongoing operational support.

Requirements:

• Proven experience as a Data Architect, Data Scientist, Data Analyst, or similar role.
• Strong understanding of database structure principles.
• Experience in gathering and analyzing system requirements.
• Knowledge of data mining and segmentation techniques.
• Expertise in SQL and Oracle.
• Proficiency in MS Excel.
• Familiarity with data visualization tools (e.g., Tableau, D3.js, R).
• Strong analytical skills.

You may submit your resume to [email protected] for immediate processing.

Only shortlisted candidates will be notified.
(EA Reg No: 20C0312)

Role:Azure Data Tech Lead

JD:

Responsibilities
1. Help ingest structured / unstructured can be batch or real time data in the Azure lake and perform cleaning and aggregation as per data requirements
2. Work with business stakeholders and create data marts to be used for reporting
3. Create and maintain data pipelines to transform and load data from Databricks into Datawarehouse models
4. Create and maintain data marts, data catalogue, data lineage, etc
5. Enable data quality checks and scheduling for timely delivery of data
Professional Experience
1. Must have knowledge of data warehouse concept (Star or snowflake) methodology and experience in designing data warehouse dimensional modelling;
2. Must have hands-on experience in Azure Data Factory, Azure Databricks , Azure Synapse Analytics / Datawarehouse, Spark programming in Scala or python (for batch and real time) and Python;
3. Must have at least three years hands-on experience as a Data Engineer including at least two years using Microsoft data tools;
Personal Attributes
1. Positive attitude and disposition
2. Ability to function independently or as a team player
3. Technical aptitude
4. Organized, systematic, logical
5. Willing to learn
Qualification
1. Degree from a recognized university, preferably in Data Analytics or Computer Science domain;

Your future position

Kpler provides the most comprehensive tracking of commodity flows in dry bulk, and we are rapidly expanding it. Our portfolio covers critical commodities that are integral to global energy and food security, such as thermal coal and grains, those essential for industrialization, including iron ore, metallurgical coal, and aluminium as well as the energy transition (copper and nickel).

As part of our market data operations team, you'll play a vital role in driving the advancement of our offerings. Your contributions will be instrumental in ensuring our clients receive accurate and reliable data, empowering them to navigate intricate market dynamics and capitalise on emerging opportunities with confidence.

Your mission is to:

•Own Quality: Take charge of specific regions and product groups and ensure the highest standard of data quality, by reviewing internal constraints and ingest data from external sources.

•Continuous improvement: Identify technology and process improvements to efficiently and effectively process data and improve data accuracy of our seaborne flows.

• Monitor market news and developments, to first extract meaningful patterns and detect new trends and then support our product managers by providing evidence to improve business rules and algorithms.

• Draft fast-response analysis to ad-hoc requests from clients (emails, chats, video calls and in person meetings) and assist the sales and customer success teams in meeting clients’ data needs and optimise client engagement by adding further improvements to our internal system.

It could be a good fit if..

• You have 2 - 5 years of experience working with large, disparate and/or unstructured data sets (advanced Excel and SQL skills and Python knowledge would be a plus).

• You have proven experience integrating data and ease with working with databases.

•You have experience working with some of the following tools: JIRA, Postman, Tableau, Appsmith, Rundeck, Slack.

• You show willingness to learn, are a team player, quick learner, and able to work within short deadlines across multiple tasks

• You have the ability to work and communicate in an international cross-cultural environment, with a strong focus on providing solutions

• You are comfortable working with ambiguity and uncovering answers to complex product development questions

• Prior experience in shipping and trading, or knowledge of dry bulk commodities is a Plus! Strong interest is a prerequisite.

Job Description

Key Responsibilities:

Works in project teams as subject matter expert to design and develop program methods to consolidate and analyze structured and unstructured, diverse "big data" sources

Performs ad-hoc statistical and data-mining analysis , using statistical tools like R, SAS and MATlab; input and design of data acquisition systems, data structure and database design.

Interfaces with internal customers for requirements analysis and compiles data for scheduled or special reports and analysis, create visualization and dashboards using Tableau

Works in project teams to develop analytical models, algorithms and automated processes, applying SQL understanding and PHP or Python programming, to cleanse, integrate and evaluate large datasets.

Supports the timely development of products for manufacturing and process information by applying sophisticated data analytics, understands the business data gathering processes of the business. Find opportunities for building models using machine learning techniques to solve business problems

In the framework of our Smart Factory initiative, we are looking for a data scientist that will help us better utilize the information hidden in vast amounts of data and help us make faster and smarter decisions to deliver even better value to our business Manufacturing operations. Primary focus will be in applying data mining techniques, doing statistical analysis, and building high quality prediction systems integrated with our systems. The role will be about understanding the business constraints, applying those to the raw data coming from our SAP and other systems, creating alerts and predictive analysis, and finally creating the right visualization and dashboards for the various user communities.

Functional Knowledge

• Demonstrates conceptual and practical expertise in own discipline and basic knowledge of related disciplines

Business Expertise

• Has knowledge of best practices and how own area integrates with others; is aware of the competition and the factors that differentiate them in the market

Leadership

• Acts as a resource for colleagues with less experience; may lead small projects with manageable risks and resource requirements

Problem Solving

• Solves complex problems; takes a new perspective on existing solutions; exercises judgment based on the analysis of multiple sources of information

Impact

• Impacts a range of customer, operational, project or service activities within own team and other related teams; works within broad guidelines and policies

Interpersonal Skills

• Explains difficult or sensitive information; works to build consensus

Skills and Qualifications

• Good communication skills
• Minimum 3 years’ experience in similar roles
• Proficiency in using query languages such as SQL
• Good practical experience with data lake like Hadoop
• Experience with data visualization tools, such as Tableau, etc.
• Good applied statistics skills, such as distributions, statistical testing, regression, etc.
• Good knowledge in deploying AI and/or ML models, and understanding of machine learning techniques and algorithm
• Data-oriented personality

ENGIE Services Singapore is a leading provider of Integrated Facilities Management solutions (IFM), property management, operations and maintenance, specialized rail engineering works, sustainable solutions and FM Consultancy services. With strong presence in various counties across South East Asia, we operate across mission-critical industries - aviation, transportation, healthcare, education, government and commercial.

ENGIE understands the integrated role of facility management and the value of it can be expanded beyond the traditional approach. As a total FM, specialized engineering and sustainable real estate solutions service provider, ENGIE offers a comprehensive range of technical, digital and support services customisable to best suit your unique needs.

Job Description:

• Monitor, maintain and coordinate the operations of data centre electrical/ mechanical infrastructure and building monitoring systems.
• Conduct daily site inspections, record readings and data logging of data centre equipment to ensure proper operation and checklist verification.
• Provide 24X7 first level onsite response to any M&E incident accordingly to contractual obligation.
• Perform troubleshooting of mechanical and electrical equipment malfunctions and perform ad-hoc repair as and when necessary.
• Report operations abnormality and perform escalation with follow-up on improvement plan promptly.
• Create quotation, work orders, coordinate vendor/supplier repairs/replacement on the data centre sites.
• Adhere to data centre operations work rules, policies and procedures that include but not limited to emergency operating procedures (EOPs), emergency drill procedures, standard operation procedures (SOPs), methods of procedures (MOPs) incident management, maintenance management, vendor management and document control standards.
• Maintain proper documentation and service reports are filed and submitted to customers for auditing and tracking purposes.
• Plan the annual master planned preventive maintenance schedules and provide guidance for addition to, deletion or modification of existing maintenance routines.
• Maintain and monitor the appropriate key performance indicators (KPIs) and external service level agreements (SLA's) to measure and improve onsite operations
• Oversee the execution of planned maintenance works performed by appointed vendors/subcontractors to ensure maintenance meets satisfactory level and are in accordance with the signed contract agreement.
• Provide onsite support to customer requests, incidents, can change and problem management activities.
• Manage and handle ticket management and queue monitoring.
• Schedule weekly meetings with customer and its appointed subcontractors with proper minutes taken to review and discuss service levels, operational issues as well as planning for future work.
• Prepare customer weekly progress report and track status of deliverables.
• Prepare incident report accordingly to contractual service level agreement.
• Support yearly performance review session with customer.
• Coordinating all changes to the DC infrastructure that may affect the service levels of any other service areas within the DC premises.
• Accountable for all site inventory management such as tools, test equipment, replacement parts, materials, spare parts and consumables used and sorted at the site.
• Adherences to all quality, health & safety, environmental policies and customer house riles.
• Perform any other ad-hoc tasks associated with the maintenance, upgrading, repairs, addition or modification of the facilities, as instructed by the management.
• Ensure that all information security management system related policies, procedures and specified requirements are implemented and complied to.
• Any other tasks as assigned by the supervisor.

Requirements:

• At least a Post Graduate Diploma in Engineering (Electrical/Electronic), Engineering (Industrial), Engineering (Mechanical) or equivalent
• Minimum 3 years Data Centre facilities experience
• Operational experience with critical facility equipment/ system that includes but not limited to transformers, generators, DRUPS, UPS, PDU, Chiller System, CRAH and Fire System
• Work independently with minimum of supervision
• Analytical and problem-solving skills
• Good organizational skills with the ability to maintain all facility related documentation. Detailed and careful in submissions and reporting
• Proficient in Microsoft Office
• Has a good safety mindset and displays good WSH behaviour

We are seeking a skilled Data Centre Engineer to manage the day-to-day operations and maintenance of our data center facilities. The ideal candidate will have a strong background in building technologies, mechanical and electrical services, as well as experience in data center facility and vendor management.

Key Responsibilities:

• Manage the operations and maintenance of data center facilities, ensuring all systems are running efficiently.
• Oversee the mechanical, electrical, and building systems, ensuring they meet the performance and sustainability standards.
• Collaborate with vendors to manage and optimize service contracts, ensuring timely and efficient service delivery.
• Coordinate and ensure proper project execution for new installations or upgrades.
• Provide support for troubleshooting and resolving technical issues in the facility.
• Implement and maintain best practices in facility management, ensuring regulatory compliance and safety standards are met.
• Track and monitor facility performance, ensuring optimal uptime and operational efficiency.
• Work closely with internal teams to plan and execute preventive maintenance tasks.
• Ensure effective communication with stakeholders, including internal teams and external vendors.

Skills and Qualifications:

• Strong knowledge of building technologies, mechanical and electrical systems, and facilities management.
• Proven experience in data center facility management and vendor management.
• Excellent interpersonal and communication skills.
• Project management experience is preferred.
• Ability to manage multiple tasks and track job progress effectively.
• Problem-solving mindset with a focus on efficiency and uptime.

(EA Reg No: 20C0312)

Only shortlisted candidates will be notified

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

• 5+ years of AI and Data consulting experience, or other relevant experience in AI & Analytics domain, with a proven track record of building and maintaining client relationships
• Collaborate with customers and account partners to identify new AI opportunities, and build proposals and pitch materials to position as a trusted partner for AI & Data transformation
• Organize and lead educational and ideation AI and Generative AI workshops for customers
• Understand customer's needs and assess their AI maturity
• Evaluate and recommend appropriate AI frameworks, tools and platforms
• Lead AI feasibility studies and PoC projects to demonstrate the value and viability of AI solutions
• Develop end to end AI PoC projects using Python, Flask, FastAPI and Streamlit
• Have experience in cloud services of AWS / GCP / Azure to deploy AI products
• Collaborate with AI architects and engineers to design and develop AI and Generative AI solutions tailored to the clients’ requirements
• Lead integration and deployment of AI solutions into customers’ existing infrastructure
• Stay updated with the latest advancements in AI and Generative AI technologies, trends and best practices and develop thought leadership and PoV on AI
• Work with cross-functional team and partners to develop/ enhance and package AI offerings and assets for customer-facing discussions
• In-depth understanding of AI technologies, including machine learning, deep learning, and generative AI techniques (such as generative adversial networks (GANs), variational autoencoders (VAEs), etc.)

Department: Data Engineering

Reports To: Consulting Manager/Project Manager

Location: Remote/Hybrid (Singapore)

About VASS

VASS is a global digital transformation company that puts organizations at the forefront of innovation, by bringing together talent, knowledge, and technology. With our digital solutions, we lead people and organizations around the world on their transition towards the future.

About the Role

We are seeking a highly motivated and skilled Snowflake Data Engineer to join our dynamic Consulting team. In this client-facing role, you will be responsible for leading and delivering successful Snowflake data warehousing and data engineering projects for our diverse clientele. You will work closely with clients to understand their business requirements, design and implement robust data solutions, and ensure successful project delivery.

Responsibilities

· Lead and deliver end-to-end Snowflake implementation projects, including data discovery, data modeling, data integration, data quality, and performance optimization.

· Work closely with clients to gather requirements, understand business needs, and translate them into technical solutions.

· Design, develop, and implement data pipelines using Snowflake and other relevant technologies (e.g., Python, SQL, APIs) to extract, transform, and load (ETL) data from various sources into the Snowflake data warehouse.

· Optimize data models and queries for performance and efficiency within the Snowflake environment.

· Develop and implement data quality checks and monitoring processes to ensure data accuracy and integrity.

· Troubleshoot and resolve data-related issues and performance bottlenecks.

· Participate in the design and implementation of data security and governance best practices within the Snowflake environment.

· Guide clients on best practices for data warehousing, data engineering, and Snowflake utilization.

· Develop and maintain CI/CD pipelines for Snowflake data pipelines and ETL processes.

· Provide knowledge transfer to clients. Prepare and deliver presentations and reports to clients.

Qualifications

• Bachelor’s degree in computer science, Computer Engineering, or a related field.
• 3+ years of experience as a Data Engineer or a similar role.
• Strong experience with Snowflake data warehousing and its core features (e.g., SQL, data loading, data sharing, security).
• Proficiency in Python and SQL.
• Experience with data modeling and data warehousing concepts.
• Experience with ETL/ELT processes and tools.
• Experience with data quality and data validation techniques.
• Experience with data security and governance best practices.
• Experience with CI/CD principles and tools (e.g., Jenkins, GitHub Actions, Azure DevOps).
• Experience with integrating Snowflake deployments into CI/CD pipelines.
• Excellent analytical and problem-solving skills.
• Strong communication and collaboration skills
• Ability to work independently and as part of a team.

Benefits

· Competitive Salary

· Hybrid/Remote Working Model

· Competitive compensation package

· Comprehensive benefits package

· Opportunities for professional development and career advancement

· A collaborative and innovative work environment.

If you are a passionate and driven individual, we encourage you to apply and help us shape the future of enterprise software!

Please send your job application, along with a recent photo, to [email protected] . Kindly include your earliest available start date and both your current and expected salary. We look forward to hearing from you!