Staff, Data Science [RID-00593]

Setel Kuala Lumpur, Federal Territory of Kuala Lumpur, Malaysia

Staff, Data Science (RID-00593)

Location : Setel Kuala Lumpur, Federal Territory of Kuala Lumpur, Malaysia

About Setel

The Future of Mobility

Introduced in July 2018, Setel is a mobile platform that aims to delight customers by innovating for better, inclusive mobility. Setel serves customers across Malaysia by powering one app as the constant companion to ease motorists’ journey across fueling, parking, EV charging, motor insurance, road tax, auto assistance, general purchases, and more across an ecosystem of PETRONAS petrol stations, retail partners, and online merchants.

Role Purpose

The Staff, Data Science architect and leads the development of enterprise‑grade AI and machine learning systems aligned with the company’s long‑term objectives, tackling the organisation’s most complex data challenges while shaping the AI and data science roadmap, establishing best practices for modelling, experimentation, and platform standards, mentoring Leads and Seniors, advising stakeholders on high‑impact decisions, and ensuring all data science initiatives deliver practical value and measurable business outcomes across the company.

In this role you will

• Lead end‑to‑end delivery of advanced data science, AI, and ML initiatives. This includes framing business problems, driving data exploration, developing predictive and statistical models, and ensuring solutions are production‑ready and deliver measurable business impact.
• Oversee the reliability, performance, and scalability of production ML systems. Strengthen MLOps workflows covering feature pipelines, model training, deployment, monitoring, and retraining. Proactively identify system bottlenecks, enhance observability, and ensure compliance with data quality, security, and Responsible AI requirements.
• Establish and uphold documentation standards for data science workflows, experiment methodologies, modelling decisions, and operational runbooks. Ensure all documentation is consistent, comprehensive, and onboarding‑ready to support knowledge continuity and organisational maturity.
• Provide architectural and modelling reviews across data science projects to enforce high engineering and analytical standards. Define best practices for model development, experimentation, feature engineering, and integration with data and ML systems. Ensure solutions are maintainable, scalable, and aligned with enterprise technical direction.
• Partner with Product, Engineering, Marketing, Finance, and Operations to align modelling priorities with business needs. Communicate insights, results, risks, and trade‑offs clearly to diverse stakeholders. Influence strategic decisions and ensure data science outputs integrate effectively into operational workflows and product roadmaps.
• Coach Senior and Lead Data Scientists through technical reviews, project direction, and capability building. Foster a high‑performance culture by promoting best practices, continuous learning, and strong delivery discipline within the team.
• General Responsibilities : All employees are required to ensure adherence to the compliance of company policies, industry regulations and legal requirements. All employees are expected to assist with tasks, projects, and other duties related to the role, as and when deemed necessary.

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Setel Ventures Sdn Bhd (“Setel”, “we”, “our” “us”) is committed to protecting and respecting your privacy. This Setel privacy statement (“Privacy Statement”) explains what personal data we collect about you, when and why we collect it, how we use it, the conditions under which we may disclose it to others, your rights to your personal data, and how we keep it secure. This Privacy Statement covers both our online and offline collection activities, including personal data that we collect through online platforms such as websites, applications, third‑party social networks or our online and physical events, or through other third parties that we work with. Please read this carefully to understand our views and practices regarding your personal data.

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