Head of Data Science

… a truly aspirational brand, one of India’s fastest growing fintech companies that offers a range of financial services & products for merchants, kirana store owners and end consumer. Valued at over $2.8 Bn within a short span of 3+ years, we focus on empowering small business owners and retailers with all things business ranging from QR & PoS payments to easy loans to high-yield investment products which in turn enables them to grow and transform. We understand that business and culture are two sides of the same coin. So, alongside business, we are equally focused on building a culture where employees succeed unconditionally. We are focusing on building a strong culture.

We believe we are in an ever-evolving space with immense opportunity to build for Bharat! Our people will enable this journey with their ideas, innovations and capabilities. We value diversity, where we encourage different points of view, ways of thinking, new capabilities to strengthen and improve the digital strategy for our customers. And that is not all, we have a lot of fun while we explore new ideas, solve real problems, collaborate, connect — and we do it all together.

Connect with us over social media, coffee or call. We promise to excite you with an opportunity that will “change the game”!

In this role, you have the opportunity to…

• Own and drive end-to-end Data Science initiatives and execution to solve core fintech problems.
• Collaborate with various business stakeholders to drive business impact.
• Requires 12+ yrs DS experience, strong Python/ML stack, and proven delivery of real-world solutions.
• Work as a hands‑on leader and manage a team of talented predictive analytics practitioners.

Responsibilities will include;

Translate business objectives into data solutions and translate results into actionable intelligence using data-science

Develop quantitative models, leveraging machine learning, AI and advanced data analysis techniques

Lead development of actionable intelligence from structures/unstructured data and develop algorithms and solutions which impacts real business

Manage a team of 8-10 data scientists

To succeed in the role;

Qualifications

12+ years of experience in a similar position with a hands‑on experience in Data Science

Masters in Computer Science, Applied Math, Operations Research, Statistics, Economics or related field

Skills, experiences & behaviors

Excellent knowledge of AI/ML modeling

Fluency in Python, SQL, and PySpark

Experience working with data engineering and product teams to deploy ML solutions in an Agile environment

In-depth understanding of modern machine learning techniques and their mathematical underpinnings.

You will be resilient and adaptable.

Passion for understanding the key drivers within a complex business, being able to assimilate multiple data points to diagnose complex problems and deliver practical solutions and recommendations.