Job Description & How to Apply Below
About Navi At Navi, our mission is to simplify finance for a billion people, through technology-first products built nded in 2018 by Sachin Bansal and Ankit Agarwal, Navi has grown rapidly across Loans, UPI, Insurance, Mutual Funds and Digital Gold – building products designed around speed, simplicity and customer experience.
Today, millions of customers use Navi for experiences like instant personal loans, fully digital home loan sanctions within minutes, low-cost mutual funds, instant credit lines in minutes and one of India’s fastest-growing UPI platforms.
What makes Navi different is the way we build. We move fast, solve real customer problems and give people the ownership to create meaningful impact early in their journey.
Why Explore a Career at Navi?
Where Ownership Creates Real Impact
At Navi, ownership starts early. People here are trusted to solve problems, make decisions and drive outcomes that directly shape the products and experiences used by millions of customers every day.
Where Careers Accelerate
Growth at Navi is driven by impact, not tenure. We strongly believe in promoting from within and creating opportunities for people to take on larger responsibilities as they grow. If you consistently raise the bar, you’ll find the space to grow quickly here.
Where Great Talent Builds Together
We take pride in building high talent-density teams where ambitious people learn from one another every day. Working on high-scale business and technology problems creates steep learning curves, fast execution cycles and opportunities to make visible impact throughout your journey.
About the Team
The Data Science team at Navi plays a central role in building intelligent solutions that power our products and drive business impact. We work across key domains such as Lending, Collections, KYC, UPI Growth and Ads recommendation, applying advanced machine learning/deep learning/GenAI techniques to solve high-impact challenges. Our work involves a diverse range of data types—including text, image, and tabular data—and we closely collaborate with cross-functional teams like Product, Business, Engineering, etc.
to deliver end-to-end solutions.
About the Role
This role offers the opportunity to lead high-impact data science initiatives that directly shape Navi’s strategic business decisions. As a Lead Data Scientist, you will operate at the intersection of advanced machine learning, large-scale data processing, and cross-functional collaboration—building scalable, production-ready solutions that drive significant business value. You will work across multiple business units, tackling Navi’s most complex and high-priority challenges, while fostering a culture of technical excellence, continuous innovation, and mentorship within the team.
Your contributions will be instrumental in unlocking new opportunities, accelerating growth, and establishing data science as a core strategic asset at Navi.
What You’ll Own
Lead High-Impact Projects:
Oversee and manage end-to-end high priority data science projects across domains by breaking down complex problems, planning timelines, allocating resources, and ensuring timely, high-quality delivery of results.
Mentorship & Team Development:
Mentor and coach a team of data scientists, fostering a culture of continuous learning, professional growth, and technical excellence. Guide team members in their project work and support their career advancement.
POC & SOTA Solution Delivery:
Rapidly solve complex problems by designing and executing quick POCs using state-of-the-art (SOTA) approaches, and deliver best-in-class ML solutions that create clear differentiation and business impact.
Strategic Vision &
Innovation:
Define the strategic roadmap for the team, set technical direction, and champion the development of data-driven solutions for complex business challenges. Ensure alignment with organizational objectives and foster a culture of innovation.
Cross-Functional Partnership:
Build and nurture strong relationships with stakeholders across business, product, and engineering. Identify opportunities, shape strategic initiatives, and drive the successful integration of data science solutions…
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