Job Summary

We're looking for a Lead Data Scientist to help build intelligent systems that understand football at scale. This is not a research-only role. This is not a notebook-only role. This is an innovative builder's role.

You will create production-grade machine learning systems that directly influence how clubs, coaches, scouts, and players make decisions. As a lead, your role goes beyond building models. You will define technical direction, shape the data science function, mentor talent, and help create the foundations of what this team becomes.

Key Responsibilities

- Build and deploy end-to-end ML systems for football intelligence products.

- Translate football concepts into scalable data models, metrics, and decision systems.

- Own the full ML lifecycle: experimentation, deployment, monitoring, and iteration.

- Work closely with Product, Engineering, and Computer Vision teams to solve real-world problems.

- Debug messy, imperfect data and design reliable analytical pipelines.

- Define technical direction for the data science function.

- Mentor junior team members and raise engineering and analytical standards.





- Help hire and shape the future data science team.

- Drive prioritization and decision-making in ambiguous, fast-moving environments.

- Obtain a deep and implementational level understanding of established advanced analytical research areas and models.

Must-Haves

- Strong ML fundamentals across supervised and unsupervised learning, experimentation, and model evaluation.

- Strong Python, SQL, data analysis, and production engineering mindset.

- Experience taking ML systems from idea to production.

- Solid ownership, judgment, and decision-making ability.

- Ability to communicate clearly with both technical and business stakeholders.

- You must actively follow football and genuinely understand the game.

- Formations, tactical systems, player roles, match flow, performance context - these should feel natural to you.

Good To Have

- Computer vision experience (YOLO, tracking, PyTorch, TensorFlow)

- Sports analytics experience.

- LLM or agentic AI experience.

- Public ML or football analytics work. (GitHub, blogs, research)

📌 Lead Data Scientist (Bengaluru)
🏢 Step Out
📍 Bengaluru