Understand & Define Business Needs: Understand business concerns, objectives, and high-level business operations. Collaborate closely with stakeholders to get things done, securing clear problem definitions, operational levers, and success metrics.
Lead Solution Development & Implementation: Independently or collaboratively develop, implement, and deploy advanced AI/ML, GenAI, and Agentic AI solutions tailored to IBG's specific business requirements. Ensure you are familiar with AI/ML techniques, capable of implementing models, and able to interpret and explain model results to stakeholders.
Manage End-to-End Project Lifecycle, Scope and Governance: Drive data science projects from problem definition and data exploration through to model deployment while adhering to project scope, timelines, and AI model governance...
Lead Data Science Initiatives: Drive AI/ML initiatives supporting Singtel’s product and service offerings by working closely with stakeholders from Marketing, Product, and external partners. Define problem statements and architect end-to-end solutions—including the use of Generative AI and LLMs where applicable—to align with strategic objectives, regulatory requirements, and partner needs.
Model Development & Integration: Design, build, and productionize analytical models that enable intelligent decisioning within customer journeys. Integrate these models into customer-centric decision engines while championing best practices around model governance, scalability, explainability, and continuous performance monitoring.
Customer Behavior & Lifecycle Analysis: Leverage customer behavioral data across Singtel’s Mobile, Broadband, and entertainment services to uncover actionable insights. Maintain and enhance analytical models that inform segmentation, product targeting, and value-based engagement strategies. Enable data exploration, insight discovery, and controlled experimentation (e.g., A/B testing, uplift modeling) to support lifecycle marketing and campaign optimization....
Terms of employment / engagement shall be subject to contract and local applicable laws
Contribute to the design and development of LLM-powered pipelines for agentic trading — including reasoning agent components, tool-use frameworks via MCP, and automated workflow execution across crypto markets.
Build and evaluate prompt engineering strategies, test-time scaling approaches, and retrieval architectures for crypto-native data sources — on-chain data, market feeds, news, and sentiment signals....
Member of the in-house AI Center-of-Excellence team that works on challenging problems in advanced AI (including areas on generative multimodal AI, autonomous agent, NLP, computer vision, recommender system), mathematical optimization, game theory, and experimental design.
Research and develop advanced machine learning algorithms to meet complex product requirements. The scope includes defining hypotheses, executing necessary tests and experiments; evaluating, tuning and optimizing algorithms and methods; and having an eye towards cloud implementation ease, scalability, and robustness in a live customer facing production environment.
Provide technical direction and guidance to a small and highly skilled team of junior and senior data scientists embedded in Kanban data squads. These squads deliver products/services in generative AI, data science and data analytics to stakeholders in a large number of business units. Serve as a go-to technical expert in your area of AI expertise....
Build multi-dimensional business metrics (user, traffic, conversion, revenue), define North Star metrics, and deliver dashboards/reports covering 90% of daily data needs.
Monitor core data daily, conduct anomaly analysis, and establish intelligent monitoring frameworks to quickly identify and resolve issues.
Support strategy design for user acquisition and engagement by quantifying user behaviors and identifying key growth opportunities....
You will be part of our exciting and rapidly expanding Kuala Lumpur Modeling, Optimization & Data Science team working and collaborating on a global scale providing deep technical insights and support to ExxonMobil’s Product Solution Business and supply chain/commercial activities
As a key member of the team, you will collaborate with data scientists, data analysts, software developers, and business representatives from chemical, lubricants, and fuels value chains globally to develop, deliver, and apply data-driven tools, models, or software to support our businesses.
You will be part of the team utilizing machine learning, time series analysis, pattern recognition, statistical analysis, design of experiments, and data visualizations, along with domain knowledge, to solve commercial problems and provide business insights....
Terms of employment / engagement shall be subject to contract and local applicable laws
Participate in the design and development of algorithm strategies for user growth, including but not limited to user segmentation, intelligent recommendation, and incentive strategy optimization.
Build user lifecycle models (LTV prediction, churn warning, conversion prediction, etc.) based on user behavior data to drive precision operations and decision-making....
We are seeking a data-driven Entry-Level Data Scientist to join our semiconductor engineering team. This role is ideal for recent graduates who are passionate about applying data science and automation to solve complex engineering challenges and improve the manufacturing process.
As a member of a cross-functional engineering team, you will collaborate with Product, Test, Process, Yield, and Quality Engineers to analyze manufacturing test data, develop predictive and diagnostic models, and implement automated solutions that improve operational process, product quality, and yield performance. You will play a key role in working with suppliers and deploying the quality shield into production line and sustaining.
This is a unique opportunity to work at the intersection of semiconductor technology, advanced analytics and artificial intelligence....
Business Advisory & Data Quality Consulting: Partner closely with data creators, stewards, consumers, and IT teams to establish data quality dimensions, rules, and indicators that ensure our data remains usable, timely, robust, and compliant
Framework & Policy Design: Design and maintain policies, methodologies, guidelines, and metrics for data quality, profiling, and cleansing
Rule Definition & Profiling: Collaborate with business stakeholders to identify critical data attributes, profile datasets, analyze requirements, and translate business logic into automated data quality rules...
Develop, test and maintain data analytics, machine learning and AI-assisted automation solutions using tools such as Python, SQL, Power BI, Power Automate, Alteryx or similar technologies.
Perform data extraction, cleansing, transformation, validation and exploratory analysis to support audit, assurance and internal innovation use cases.
Support the development of AI and machine learning prototypes, including feature engineering, model evaluation, prompt engineering, retrieval-augmented generation concepts and responsible use of large language models where applicable....
Work as part of a cross-functional team of engineers, product managers and business analysts to build data science solutions that build customer engagement and help grow GoPay’s customer base and transactions.
Rapidly prototype data science solutions and be involved in product and feature discussions
Analyze large volume data and generate insights which will be actionable....
Work as part of a cross-functional team of engineers, product managers and business analysts to build data science solutions that build customer engagement and help grow GoPay’s customer base and transactions.
Rapidly prototype data science solutions and be involved in product and feature discussions
Analyze large volume data and generate insights which will be actionable....
Lead the delivery of end-to-end data science projects, including data acquisition, feature engineering, modeling, evaluation, and deployment.
Collaborate with stakeholders to understand business problems and translate them into analytical solutions.
Design and develop machine learning models, including generative models such as LLMs (e.g., GPT, Claude, LLaMA) for applications like text summarization, content generation, document intelligence, and chatbots....
Lead the end-to-end implementation of AI / GenAI initiatives designed to optimize business performance across Distribution, Underwriting, Claims, and Customer Service.
Partner with data engineers to architect robust pipelines for both structured and unstructured data (text, documents, call logs). Ensure high-standard data quality assurance to maintain model integrity and performance.
Develop machine learning models and enhance the AI models from time to time....
Collaborate across teams — work closely with auditors (domain experts), audit data engineers and audit data scientists, and build a strong network with AI, Digital and Data (ADD) stakeholders to deliver impactful, high-quality audit outcomes
Think critically and challenge assumptions — ask the right questions, exercise curiosity, and apply sound audit judgement
Stay resilient and future-ready — manage multiple priorities, maintain independence, and keep pace with emerging risks, AI, and industry trends...