Data Scientist (Product Analytics) Financial Services

Get to Know the Team

GrabFin Analytics team supports the GFin product and business organisations across Payments Lending Insurance and Kios. As a Senior Data Scientist (Analytics) you will be part of the Lending tech family where we strive to be the best FinTech company in the region. Our team is focused on understanding user experiences and partnering with Business Product Design and Tech teams to achieve the right outcomes. We are integral to product development from understanding user journeys with UX designers to developing hypotheses through to post-rollout optimisation.

Get to Know the Role

In this role youll partner closely with Product Managers to turn product and business questions into clear hypotheses thoughtfully designed experiments and actionable insights. Youll build a deep understanding of userstheir needs pain points and behaviourswhile keeping business goals in view. As a strategic analytics partner throughout the product development lifecycle youll support teams from early ideation through execution helping shape product direction and prioritize features based on evidence and expected impact.

The Critical Tasks You Will Perform

• Partner with cross-functional teams to identify data requirements and design innovative analytical solutions or insights to address complex challenges effectively.
• Conduct in-depth analyses of operational data including business/impact analysis and text analysis to identify areas for improvement and process optimization.
• Develop dashboards to monitor the performance of Grab Support operations support specialists and the business overall.
• Utilize advanced statistical and machine learning techniques such as quasi-experimental methods NLP & LLM to analyze large datasets and derive meaningful insights that drive business decisions improve support performance and mitigate risks.
• Stay up-to-date with industry trends emerging technologies and best practices in analytics and data science leveraging this knowledge to enhance the organizations data-driven capabilities.
• Collaborate with data engineering teams to ensure data quality integrity and accessibility while building data pipelines and infrastructure for analytics projects.
• Communicate complex analytical findings to all stakeholders including senior management through concise reports presentations and visualizations.

Qualifications :

What Essential Skills You Will Need

• A minimum of Bachelors degree in Analytics Statistics or Engineering or any related field.
• At least 2 years of experience in Analytics Business Intelligence or Data Science roles preferably in an Internet or Direct-to-Consumer company with large complex high-velocity data.
• Proficiency in Big Data technologies such as Spark PySpark and Databricks.
• Strong foundation in data query/manipulation using SQL and data visualization tools like Power BI.
• Experience in Snowflake and multidimensional modeling .

Additional Information :

Life at Grab

We care about your well-being at Grab here are some of the global benefits we offer:

• We have your back with Term Life Insurance and comprehensive Medical Insurance.
• With GrabFlex create a benefits package that suits your needs and aspirations.
• Celebrate moments that matter in life with loved ones through Parental and Birthday leave and give back to your communities through Love-all-Serve-all (LASA) volunteering leave
• We have a confidential Grabber Assistance Programme to guide and uplift you and your loved ones through lifes challenges.
• Balancing personal commitments and lifes demands are made easier with our FlexWork arrangements such as differentiated hours

What We Stand For At Grab

We are committed to building an inclusive and equitable workplace that provides equal opportunity for Grabbers to grow and perform at their best. We consider all candidates fairly and equally regardless of nationality ethnicity race religion age gender family commitments physical and mental impairments or disabilities and other attributes that make them unique.

Remote Work :

No

Employment Type :

Full-time