Top Data Science Jobs in Kuala Lumpur

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.

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.

Own product vision, roadmap, backlog prioritization, requirements, release planning, and Agile delivery for AirAsia customer and merchant support platforms. Partner with stakeholders and engineering teams to improve digital experiences, develop product features, manage sprint and release goals, analyze users and markets, and identify growth opportunities. The role requires product management experience, e-commerce exposure, technical understanding of APIs, microservices, cloud platforms, analytics, and strong leadership and communication skills.

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

Lead and develop a Data Science and AI team while owning the advanced analytics roadmap and delivery portfolio. Guide predictive analytics, machine learning, Generative AI, and Agentic AI products from discovery through production, adoption, monitoring, and continuous improvement. Partner with technology, cybersecurity, risk, compliance, vendors, and senior executives to ensure responsible governance, reliable operations, measurable business outcomes, and sustainable adoption.

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.