About Navi At Navi, our mission is to simplify finance for a billion people, through technology-first products built at scale. Founded 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. 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 Great Talent Builds Together We take pride in building high talent-density teams where ambitious people learn from one another every day. 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. 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. 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. 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. Identify opportunities, shape strategic initiatives, and drive the successful integration of data science solutions into core business functions. Model Quality & Monitoring Excellence: Establish robust metrics and quality standards for evaluating model performance and business impact. Implement and oversee industry-leading systems for model monitoring to ensure reliability, scalability, and long-term value. Bachelor’s or higher degree in Computer Science, Electrical Engineering or a quantitative field,



with a strong research orientation and at least 7 years of relevant experience in data science Deep expertise in contemporary machine learning techniques, mathematical foundations, and hands-on experience with leading ML frameworks (such as scikit-learn, Keras, TensorFlow, PySpark, MLlib, etc.) Extensive experience with distributed computing platforms and scalable data processing (e.g. Advanced programming skills, preferably in Python, Scala, or similar languages, with a track record of delivering robust, production-grade solutions Proven ability to lead and deliver large-scale machine learning projects end-to-end —from problem definition, data exploration, and modeling, to deployment and production monitoring Demonstrated experience in mentoring junior data scientists, including setting technical direction and driving best practices Strong business acumen and the ability to translate complex data-driven insights into actionable strategies that create significant business impact Skilled in designing, executing, and scaling A/B or multivariate experiments to validate and optimize data science solutions Excellent communication and stakeholder management skills, with experience collaborating across business, product, and engineering functions Proven track record of driving innovation and staying current with the latest advancements in machine learning and data science Beyond work, teams come together through sports, celebrations, offsites, music jams, team outings and many more shared experiences that make the journey exciting and memorable. We believe people do their best work when they feel supported, through flexible leave policies, strong health and wellness benefits, free financial, legal and medical consultations, ESOPs and a workplace designed for both productivity and well-being. Whether it’s the sports turf, gym, focus zone or nap rooms, the campus is built to make everyday work more enjoyable. If solving meaningful problems, building at scale and growing alongside ambitious teams excites you,

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