CV WorkCV Work
Việt Nam

Tuyển dụng Data Scientist (Product Analytics) - Financial Services

11.6–21.6 triệuCòn khoảng 30 ngàyỨng tuyển ngay →

Lịch sử tuyển vị trí này: CV Work ghi nhận tin đầu tiên ngày 07/08/2026, đến nay đã có 7 tin đăng; lần gần nhất 24/10/2026. Vị trí được đăng lại nhiều lần trong thời gian dài thường là vị trí tuyển liên tục hoặc khó tuyển.

Mô tả công việc

The role at a glance

Skills you need

What we offer

Life at Grab

The role at a glance

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.

Skills you need

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 .

What we offer

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.

Life at Grab

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.

What’s it like to work at Grab?

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Việc này hợp với ai đó bạn quen?

Nhà tuyển dụng Grab Vietnam

Grab Vietnam

Tuyển dụng trực tiếp từ Grab Vietnam (www.grab.careers).

4việc đang tuyển
5tin tuyển dụng
4việc mới / 30 ngày
1nguồn tuyển dụng
Kỹ năng tuyển nhiều:Ứng dụng AILái xeSQLPythonMachine LearningTự động hóaLogisticsMarketing
Vị trí tuyển nhiều:Data Scientist · 1Lead Data Scientist · 1Lead Program Manager · 1Senior Analytics Manager · 1
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Việc khác tại Grab Vietnam

Grab Vietnam tuyển dụng — xem tất cả việc làm đang tuyển →

Xem thêm: Việc làm ngành Kế toán / Tài chính

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Câu hỏi thường gặp

Data Scientist (Product Analytics) - Financial Services tại Grab Vietnam lương bao nhiêu?
Tin không ghi mức lương cụ thể. Khoảng tham khảo theo mặt bằng ngành là 11.6–21.6 triệu.
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Data Scientist (Product Analytics) - Financial Services11.6–21.6 triệu
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