Top Data Science Jobs in Kuala Lumpur

Leads advanced analytics and data science initiatives for financial services clients. Responsibilities include analyzing transactional and behavioral data, developing and deploying statistical and machine learning models, designing experiments, preparing scalable datasets, creating dashboards, measuring business impact, and communicating actionable insights to senior stakeholders. The role also involves cross-functional collaboration, methodology documentation, and contributing reusable analytics practices.

A 12-month technology graduate programme for fresh graduates and early-career professionals with less than one year of experience. Participants rotate through one to three three-month placements across specialist technology tracks, gaining hands-on business experience based on their strengths and organizational needs.

Lead the global strategy and roadmap for recommendations and personalization across three ecommerce platforms. Partner with data science, analytics, engineering, and regional teams to translate customer intent and machine-learning capabilities into scalable discovery experiences. Own experimentation, relevance, engagement, conversion, and commercial outcomes while balancing shared capabilities with local market needs.

Leads complex data mining and machine learning initiatives, develops data-driven insights and business solutions, tracks analytics revenue, and aligns stakeholders on deliverables and standards. Provides thought leadership on emerging data science trends, mentors data scientists and team members, supports analytics projects, and contributes to data science strategy and best practices.

Supports commercial finance activities within the Upstream Finance and Risk team, including joint venture audit and compliance assignments, data extraction and analysis, supporting-document reviews, and departmental meeting and event planning.

Analyzes, cleanses, validates, and consolidates financial data to identify performance issues, trends, risks, data gaps, and improvement opportunities. Develops Excel and Power BI dashboards, supports management reporting, translates findings into actionable insights, and collaborates with Finance stakeholders on process improvement and business transformation initiatives.

Develop a data-driven digital turnaround master plan, perform turnaround benchmarking, and conduct cost simulations for turnaround contracts within PETRONAS Downstream Business.

Collects and consolidates maintenance, cost, materials, downtime, inspection, and backlog data. Updates Excel and Power BI dashboards, performs basic trend and comparison analysis, prepares charts and presentations, and coordinates with network contacts to resolve missing or inconsistent information for asset integrity reviews.

Develops data-driven insights and machine learning models to support business decisions and revenue or cost goals. Provides analytics reporting, collaborates with business stakeholders to align solutions and standards, contributes to data science strategy, and mentors team members on analytics projects.

Own the product vision, roadmap, backlog, prioritization, and release planning for AirAsia’s digital customer platforms. Partner with stakeholders and engineering teams to deliver booking, check-in, chatbot, payments, ancillary, and communications capabilities. Lead Agile teams, define requirements, improve customer experience, analyze markets and competitors, and prioritize high-value initiatives. The role requires product management and software engineering experience, e-commerce expertise, technical understanding of APIs, microservices, cloud platforms, and strong analytical, communication, and leadership skills.

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

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.

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.