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

Must-Haves
Robust 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.

Positive 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