Manager - Data Scientist

About Navi:
Navi is one of the fastest-growing financial services companies in India providing Personal & Home Loans, UPI, Insurance, Mutual Funds, and Gold. Navi's mission is to deliver digital-first financial products that are simple, accessible, and affordable. Drawing on our in-house AI/ML capabilities, technology, and product expertise, Navi is dedicated to building delightful customer experiences.
Founders: Sachin Bansal & Ankit Agarwal

Know what makes you a “Navi_ite” :
1.Perseverance, Passion and Commitment
• Passionate about Navi’s mission and vision
• Demonstrates dedication, perseverance and high ownership
• Goes above and beyond by taking on additional responsibilities
2.Obsession with high quality results
• Consistently creates value for the customers and stakeholders through high quality outcomes
• Ensuring excellence in all aspects of work
• Efficiently manages time, prioritizes tasks, and achieves higher standards
3.Resilience and Adaptability
• Adapts quickly to new roles, responsibilities, and changing circumstances,  showing resilience and agility

About the role:
Data Science @Navi:
At Navi, our Data Science team is the powerhouse behind scalable and efficient solutions that span across a broad spectrum of fintech sectors—be it lending, insurance, investments, or UPI. We're not just a team; we're the architects of the future of fintech.
We're not just keeping up with innovation; we're setting the pace. Our team is constantly pushing the boundaries, introducing groundbreaking methods that amplify business growth, enhance customer experiences, and streamline operational processes.
Our work isn't confined to a single domain. We tackle a diverse set of problem statements, from computer vision and tabular data to natural language processing, speech recognition, and even Generative AI. Each day brings a new challenge and a new opportunity for breakthroughs.
When you join us, you're not just taking a job; you're becoming a part of a movement. A movement that's making a tangible difference in the fintech landscape, one innovative solution at a time.


Ready for a transformative career journey? Join us at Navi and be a part of a team that's shaping the future of fintech.
What you gain by working with the Data Science team at Navi:

• Own Your Journey from Start to Finish: Take pride in having full-cycle ownership of your projects. You won't just be a cog in the machine; you'll be the architect, designer, and implementer of cutting-edge Data Science solutions that drive our business forward.
• Immerse Yourself in a Data Wonderland: Welcome to a playground where data is abundant and limitations are few. Our high-growth, agile environment offers a treasure trove of data, giving you the freedom to experiment, innovate, and make data-driven decisions that matter.
• Be Part of a Synergistic Dream Team: Collaborate with a diverse group of high-performing professionals who are as passionate about data science as you are. Our culture fosters continuous learning and upskilling, setting you up for ongoing success and career growth.
• Make a Tangible Impact: Your work won't just sit on a shelf; it will make waves. By closely collaborating with stakeholders across departments, you'll have the opportunity to design and develop data science solutions that not only solve complex problems but also make a meaningful impact on our company and the fintech industry at large

Responsibilities:

• Lead and Develop a High-Impact Team: Lead, manage and mentor a team of data scientists, fostering a culture of continuous learning and professional growth. Guide team members in their project work and support their career development. Will own appraisals , compensation queries and leave management of his direct reports.
• Set Strategic Vision and Drive Innovation: Set clear goals and expectations for the team and individuals, and regularly assess and improve team performance. Ensure alignment with organizational goals and provide technical direction.
• Build Strong Cross-Functional Partnerships: Cultivate trusted relationships with stakeholders in business, product, and engineering to identify opportunities, shape initiatives, and ensure successful implementation of data science solutions. Act as a bridge to integrate data science seamlessly into business functions.
• Implement Industry-Leading Standards for Model Quality and Monitoring: Define robust metrics and quality standards to evaluate model performance and outcomes. Establish and oversee best-in-class model monitoring systems to ensure reliability, scalability, and sustained impact over time.

Qualifications:

• Bachelor’s or Master’s degree in Computer Science, Electrical Engineering, Mathematics, Economics, or another quantitative discipline. Demonstrates a research-oriented mindset with 6+ years of experience in data science or related fields.
• Strong foundation in statistics, machine learning (e.g., Random Forests, XGBoost, SVMs), and inference techniques, with expertise in hypothesis testing, simulations, and optimization methodologies.
• Proficiency in applying deep learning algorithms to solve complex data challenges, with hands-on experience in TensorFlow or PyTorch.
• Skilled in designing, executing, and scaling A/B experiments to validate and optimize data science solutions.
• Advanced Python programming abilities with extensive experience in building robust data pipelines in PySpark, performing feature engineering, and optimizing data workflows.
• Deep familiarity with libraries and tools such as pandas, scikit-learn, SQL, and Scala, with additional experience in MLOps frameworks like Docker, Databricks, and Kubernetes for production-grade model deployment.
• Demonstrated track record in developing and implementing large-scale machine learning solutions that drive business impact.
• Experience of leading projects with multiple team members / managing team is preferred