Fampay

Data Scientist Lead

Posted On

April 18, 2025

Location

Bengaluru, Karnataka

Experience Level

Freshers/Experienced

Job Type

Permanent

Apply By

Aug. 27, 2025

Job Description

About Fam (previously FamPay)

Fam is India's first payments app for everyone above 11. FamApp helps make online and offline payments through UPI and FamCard. We are on a mission to raise a new, financially aware generation, and drive 250 million+ youngest users in India to kickstart their financial journey super early in their life.

Founded in 2019 by IIT Roorkee alumni, Fam is backed by some of the most respected investors around the world like Elevation Capital, Y-Combinator, Peak XV (Sequoia Capital) India, Venture Highway, Global Founder’s Capital and the likes of Kunal Shah, Amrish Rao as angel investors.

About this Role:

We are looking for a Lead Data Scientist to join our growing data team at Fam. As the data science lead, you will shape how data is leveraged to drive key business decisions, you will use statistical and machine learning techniques to optimize user experience, platform performance, and operational efficiency. You will mentor and grow a small team of data scientists, you will collaborate closely with cross-functional teams to unlock insights and productionalise data science solutions to create significant impact. If you're passionate about data and making a tangible impact in the fintech space, this role is for you.

Perks That Go Beyond the Paycheck

• Relocation assistance to make your move seamless.

• Free office meals (lunch & dinner).

• Generous leave policy, including birthday leave, period leave, paternity and maternity support, and more.

• Salary advance and loan policies for any financial help.

• Quarterly rewards and recognition programs, and a referral program with great incentives.

• Access the latest gadgets and tools.

• Comprehensive health insurance for you and your family, mental health support.

• Tax benefits with options like food coupons, phone allowances, car/device leasing.

• Retirement perks like PF contribution, leave encashment and gratuity.

Here’s all the tea on FamApp ☕️

FamApp focuses on financial inclusion of the next generation by providing UPI & card payments to everyone above 11 years old. Our flagship Spending Account, FamX, seamlessly integrates UPI and card payments, enabling users to manage, save, and learn about their finances effortlessly.

Revolutionizing Payments and FinTech

FamApp has enabled 10 million+ users to make UPI and card payments across India, removing the inconvenience of carrying cash everywhere. Users get to customise their FamX card with doodles, which lets them add a personal touch to their payments.

Trusted by leading investors

We’re proud to be supported by renowned investors like Elevation Capital, Y-Combinator, Peak XV (formerly Sequoia Capital India), Venture Highway, Global Founder’s Capital, and esteemed angels Kunal Shah and Amrish Rao.

Join Our Dynamic Team

At Fam, our people-first approach is reflected in our generous leave policies, flexible work schedules, comprehensive health benefits, and free mental health sessions. We don’t mean to brag, but we promise you’ll be surrounded by some of the most fun, talented and passionate people in the startup space.

Want to see what makes life at Fam so awesome? Check out our shenanigans at @lifeatfam 😛

On the Job

8+ years of experience in data science, with a strong background in machine learning, statistics, and data analysis.

Expertise in programming languages such as Python or R, and experience with libraries like Pandas/Polars, Scikit-learn, TensorFlow, PyTorch etc.

Solid understanding of data wrangling, data visualisation, and exploratory data analysis.

Experience with statistical modeling, time series forecasting, and anomaly detection.

Strong knowledge of databases (SQL, NoSQL) and distributed data processing tools (Spark, Hadoop).

Proven track record of applying machine learning techniques to real-world business problems in a fast-paced environment.

Excellent communication skills and the ability to translate complex data insights into clear, actionable recommendations for business teams.

Must-haves (Min. qualifications)

Build and deploy machine learning models to solve complex business problems related to user behaviour, transactions, fraud detection, and more.

Analyze large and complex datasets to uncover actionable insights and trends that inform business decisions.

Collaborate with engineering, product, and business teams to understand requirements, define, prioritize and deliver on data science solutions.

Ensure the quality, accuracy, and scalability of models and analyses by applying best practices in data science and software engineering.

Communicate findings effectively to both technical and non-technical stakeholders through clear visualizations and reports.

Mentor and lead junior data scientists and promote a data-driven culture within the team.

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