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Data Scientist (Product Analytics) - Financial Services

Pay
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Work setting
On-site — work setting source
Work setup in the employer’s posting: On-site
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Employment
Full-time — employment source
Employment type in the employer’s posting: Full-time
From the employer’s posting

What you’ll work on

Full posting
  • In this role, you'll partner closely with Product Managers to turn product and business questions into clear hypotheses, thoughtfully designed experiments, and actionable insights.

  • You'll build a deep understanding of users—their needs, pain points, and behaviours—while keeping business goals in view.

From the employer’s posting
Get to Know the Role In this role, you'll partner closely with Product Managers to turn product and business questions into clear hypotheses, thoughtfully designed experiments, and actionable insights. You'll build a deep understanding of users—their needs, pain points, and behaviours—while keeping business goals in view. As a strategic analytics partner throughout the product development lifecycle, you'll 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

What you’ll bring

All qualifications

Core experience

  • Proficiency in Big Data technologies such as Spark, PySpark, and Databricks.
  • Experience in Snowflake and multidimensional modeling .
Qualification wording
Proficiency in Big Data technologies such as Spark, PySpark, and Databricks.
Experience in Snowflake and multidimensional modeling .
Education & alternatives
What Essential Skills You Will Need - A minimum of Bachelor's 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.

About Grab

Grab is Southeast Asia's leading superapp.

In the employer’s words · Read in context

Apply at Grab

Posting record

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Actively hiringFirst seen by us 12 days ago, still listed, and not a repost of an earlier posting.

Status in our records
Live
First seen by us
Oct 23, 202612 days ago
Recorded sightings
64
Last seen by us
Nov 4, 2026

These dates show when we found the posting. Check the employer’s website to confirm it is still accepting applications.

How this job compares

Time since we first saw it

Day 12

Similar jobs usually come down between day 7 and day 55.

From 10,019 similar postings that came down. Coming down is not always a hire.

Grab is hiring

53 open jobs

Open jobs by the week we first saw them, last 12 weeks.

  • Data Scientist hiring is picking up
  • Takes jobs down at a usual pace
  • 28% of open jobs were reposted
Hiring record

See how this role fits your experience

Add your resume and we’ll mark which of these tools you already use, and point out anything in the posting that could rule you out.

  • SQL
  • Databricks
  • Power BI
  • Snowflake
  • Spark
  • PySpark
Where the posting names them
- 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 .
- 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.
- Strong foundation in data query/manipulation using SQL and data visualization tools like Power BI. - Experience in Snowflake and multidimensional modeling . Additional Information

Your next step

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About the role

We file this job under Data Scientist, by the work the posting describes.

Data scientists use statistics and models to answer harder questions, such as whether a change worked, what demand will look like next quarter, or which customers are likely to leave.

Postings usually ask for Python or R, SQL, statistics, experiment design and common machine learning methods.

Unlike an ML engineer, a data scientist's main output is often an analysis or a first model, not software running inside a product.

US government figures for data scientists

Median yearly pay, May 2025
$120,230
Expected change, 2025 to 2035
34.6% more jobsagainst 3.5% for all jobs

Source: US Bureau of Labor Statistics, Occupational Employment and Wage Statistics (May 2025) and Employment Projections (2025 to 2035). Occupation code 15-2051.

Job description

View original posting ↗

Job Description

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, you'll partner closely with Product Managers to turn product and business questions into clear hypotheses, thoughtfully designed experiments, and actionable insights. You'll build a deep understanding of users—their needs, pain points, and behaviours—while keeping business goals in view. As a strategic analytics partner throughout the product development lifecycle, you'll 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 organization's 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 Bachelor's 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 life's challenges.
  • Balancing personal commitments and life's 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.

Company Description

About Grab and Our Workplace

Grab is Southeast Asia's leading superapp. From getting your favourite meals delivered to helping you manage your finances and getting around town hassle-free, we've got your back with everything. In Grab, purpose gives us joy and habits build excellence, while harnessing the power of Technology and AI to deliver the mission of driving Southeast Asia forward by economically empowering everyone, with heart, hunger, honour, and humility.

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Jakarta, Indonesia

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