Leader - Data Science

Job Title: Leader - Data Science

Level: Director

Experience: 10+ years

Company: Upstox

Location: Mumbai/ Bangalore

Work arrangement: 5 days in the office

About Upstox
At Upstox, we're building the future of investing — simple, powerful, and for everyone. We're one of India's fastest-growing fintech platforms, backed by the best in the business, including Mr Ratan Tata and Tiger Global, and on a mission to make wealth creation accessible to every Indian. From first-time investors to seasoned traders, millions trust us to power their financial journeys. We're not just moving fast — we're moving with purpose. If you thrive in a high-energy, high-impact environment, you're in the right place.

The Role:
Leader/ Director - Data Science

As a Director of Data Science, you'll lead the data science roadmap and create data-driven and AI-powered solutions that enhance our customer experience, business insight, and decision-making capabilities. You'll work on advanced machine learning models, Generative AI applications, and LLM-based systems to transform how we understand and serve our users. This is a high-impact role for someone who combines deep technical expertise with business acumen and product sense.

What You'll Own:
End-to-End Model Development: Lead the design, training, deployment, and optimisation of machine learning and Generative AI models for business-critical applications.

LLM & GenAI Integration: Build and implement solutions leveraging LLMs (such as GPT, Claude, or LLaMA) for personalisation, recommendation systems, summarisation, or intelligent automation.

Data Strategy & Insights: Partner with cross-functional teams to identify opportunities where data science can create measurable business value.

Experimentation: Design A/B tests and run experiments to validate hypotheses and optimise user experiences.

Scalability & Performance: Ensure models are scalable, explainable, and production-ready.

Team management: Building and leading a high-performing team of data scientists.

Collaboration: Work closely with Engineering, Product, and Business teams to translate insights into actionable outcomes.

Who You Are:
10+ years of hands-on experience in Machine Learning, AI, or Data Science, preferably in a high-scale, product-led organisation.

Proven expertise in LLMs and Generative AI — including fine-tuning, prompt engineering, and integrating LLMs into real-world applications.

Strong foundation in Python, PyTorch, TensorFlow, LangChain, Hugging Face, or similar frameworks.

Proficient in data analysis, feature engineering, model evaluation, and production deployment.

Excellent understanding of NLP, deep learning architectures, and ML Ops pipelines.

Strategic thinker who can balance long-term vision with short-term execution.

Excellent communication and stakeholder management skills.

Bachelor's/Master's degree from a Tier-1 institute (IIT, IISc, BITS, ISI, etc.) preferred.

Why This Role Rocks:
You'll lead the AI transformation of one of India's top fintech platforms.

You'll work with cutting-edge LLM and GenAI technologies in a real-world, high-scale environment.

You'll have the freedom to experiment and drive impact through data-driven innovation.

You'll be part of a high-performing, collaborative team that values curiosity and ownership.

Every model you build will directly impact how India invests and grows wealth.

By applying for this position, you acknowledge that you have reviewed our
Prospective Employee Privacy Notice
, which outlines how Upstox collects, uses, and protects your Personal Information ('PI'). I accept Upstox's Prospective Employee Privacy Notice.

Upstox is an Equal Opportunity Employer; all qualified applicants will receive consideration for employment without regard to race, colour, religion, gender, gender identity or expression, sexual orientation, national origin, genetics, disability, age, veteran status, or other characteristics.

We may use artificial intelligence (AI) tools to support parts of the hiring process, such as reviewing applications, analyzing resumes, or assessing responses. These tools assist our recruitment team but do not replace human judgment. Final hiring decisions are ultimately made by humans. If you would like more information about how your data is processed, please contact us.