Lead Specialist, Data Scientist (Commercial)

At TNG Digital, part of TNG Digital Group, we build the tech behind TNG eWallet, one of Malaysia's most used apps for payments and everyday life.

Millions of people rely on us daily, not just to pay, but to manage money, access financial services, and get things done faster and simpler.

Behind it all is a team that likes to question how things are done, move quickly, and try new ideas. If you enjoy solving real problems and seeing your work used at scale, you will feel right at home here.

Role Overview:

We are looking for a Lead Specialist, Data Scientist to join the Commercial Division, where data plays a central role in shaping our payments, merchant, and ecosystem strategies. This role focuses on leading practical analytics and insight generation that directly supports merchant performance, user engagement, and day-to-day commercial decision-making.

Unlike a traditional back-end data role, this position operates close to the business. You will partner closely with Commercial, Growth, Product, and Marketing teams to translate business priorities into analytical frameworks, guide the development of models and dashboards, and ensure insights are delivered in a timely and actionable manner.

In addition to hands-on analytical work, this role provides the opportunity to guide junior analysts, set analytical standards, and improve data workflows across the Commercial Division. You will play a key role in turning data into measurable outcomes that drive adoption, retention, and ecosystem growth.

This role is suited for someone who enjoys balancing execution with ownership, is comfortable working in a fast-paced commercial environment, and can connect data-driven solutions to real business impact.

What You'll Do:

• Lead and streamline analysis and reporting workflows to improve turnaround time and delivery quality.
• Partner cross-functionally with Growth, Commercial, Product, and Marketing teams to provide data inputs for campaigns, merchant insights, and product initiatives.
• Own measurement frameworks and evaluate the performance of campaigns and commercial initiatives using data-driven analysis.
• Synthesize analytical findings into clear, actionable insights to support decision-making by business stakeholders.
• Guide junior analysts on analytical approaches, quality standards, and best practices (where applicable).

Role Requirements:

• Minimum 5 years of experience in data analytics, data science, or applied machine learning, with exposure to business-facing analytics.
• Proficiency in Python or R for data analysis and modelling.
• Strong SQL skills for data extraction, transformation, and validation.
• Working knowledge of common data science and ML libraries (e.g. pandas, scikit-learn, XGBoost).
• Demonstrated ability to translate business questions into structured analytical approaches and insights
• Interest or prior exposure to fintech, payments, or eCommerce domains.
• Strong attention to detail and experience working with large, complex datasets.
• Clear communicator, able to explain insights and recommendations to non-technical stakeholders.
• Comfortable operating in a fast-paced environment with evolving priorities.
• Experience with dashboards (Power BI/Tableau), A/B testing, time-series analysis, or customer/merchant segmentation is a plus.

What You Get

Work your way

• Flexible working hours

Your wellbeing matters

• Medical coverage, with option to include dependants
• Extra leave for family and caregiving needs

Rewards that grow with you

• Monthly lifestyle allowance via TNG eWallet
• Long-term rewards for your contributions

Everyday support

• Mobile and broadband reimbursement
• Discounts and wellness perks

What it's like to work here

We care about people who take ownership, speak up, and want to make things better. Titles matter less than impact. Good ideas can come from anyone.

You will be working with people who are curious, practical, and not afraid to challenge each other in a good way.

Note: Only shortlisted candidates will be contacted.