Top Data Science Jobs in Malaysia

Lead end-to-end strategic initiatives for Regulatory & Compliance: market expansion, licensing roadmaps, operating model redesigns, and AI/automation deployments. Partner with Product, Engineering, Risk and regional teams, advise senior leadership, craft executive materials, and define performance metrics to scale global compliance operations.

Drive enterprise AI solution sales across the APAC region by identifying target accounts, building qualified pipelines, leading consultative discovery, and closing complex solution deals. Translate AI capabilities into measurable business outcomes for technical and executive stakeholders, negotiate contracts, develop partnerships with cloud and technology providers, and collaborate with architects, marketing, and product teams. Success is measured through pipeline generation, won deals, pilot-to-production conversion, and deal-cycle performance.

The intern will lead digital transformation projects, analyze data using Power BI and Excel, assist in application deployments, and generate reports.

The internship involves developing and optimizing digital systems, analyzing data for insights, and supporting operational efficiency through technology solutions.

The Data Scientist leads analytics initiatives for credit card portfolios, utilizing statistical models and machine learning to drive business growth and optimize risk management.

Lead end-to-end technical recruitment globally across engineering, product, data, AI/ML, infrastructure, DevOps, and cybersecurity. Partner with senior stakeholders on hiring strategy, build talent pipelines and market intelligence, mentor junior recruiters, and improve recruiting processes, ATS data, and recruiting metrics to deliver high-quality hires across regions.

The role involves delivering AI solutions, driving innovation with emerging techniques, shaping AI architecture, and empowering the data community within IRAS.

Support DataX initiative for Exploration & Development Division by assisting in data analysis for UDP adoption and AI/ML features.

Supports data science and analytics solution development that drives business growth, customer experience, productivity, and efficiency. Responsibilities include delivering analytics workplans, developing statistical, predictive, segmentation, and propensity models, creating reusable best practices, supporting business decisions, and collaborating with multidisciplinary teams. The role requires programming-based analytics expertise, machine learning knowledge, strong analytical and problem-solving skills, business acumen, and project management capabilities.

Support data and AI initiatives by assisting with data collection, preparation, and labeling; perform Python scripting for automation and analysis; and help monitor and maintain data pipelines, integrations, databases, and ETL processes.

Apply data science and statistical methods to substrate manufacturing to improve yield, reduce defects and downtime. Build end-to-end analytics pipelines, predictive/prescriptive models, Spotfire dashboards, and support AI-driven root cause analysis while collaborating with process, quality, test/FA, and metrology teams.

The Data Science Intern will assist in data collection, analysis, and developing models, while learning practical skills in data science.

Support development of an automated Off-hold Tracking solution: extract and clean FQAP data, build simple reports/dashboards, validate outputs against manual records, document work, and present progress in team meetings.

Lead strategy and execution of data analytics and data science across the organisation: build and mentor teams, partner with cross-functional stakeholders, drive data-driven initiatives that improve risk management and business metrics, uplift tooling and capabilities, and ensure data governance and regulatory compliance across markets.