Battery Data Scientist

Battery Data Scientist

(Data meets degradation, and intelligence meets impact)

Location : Bangalore (On-site)

Experience : 2 to 5 years

Education : Masters/PhD Degree in Data Science/Engineering

Industry : EV / Batteries / Hardware Startups

Reports To : Founder & Head of Product

Type : Full-time

About Fawkes Energy

Fawkes Energy is building intelligent, software-driven platforms to bring safety, transparency, and performance optimization to the EV and battery ecosystem. We are a mission-driven team working toward a sustainable circular economy in mobility and energy storage.

Role Overview

At Fawkes Energy, were building the future of battery intelligence, repurposing, and lifecycle intelligence. Our tools are a window into the battery pack, and decode what really matters - performance, health, lifetime, and safety. Now, were looking for a Battery Data Scientist who loves wrestling with messy field data, modeling the intricacies of battery degradation, and building intelligence that actually makes a difference.

What You&aposll Work On

• Own projects that involve modeling battery degradation, SoH and lifetime prediction using both traditional and ML-based approaches
• Develop, validate, and deploy battery degradation models using machine learning, deep learning, and physics-informed methods
• Work with both internal and external teams to design robust data ingestion and preprocessing pipelines for heterogeneous datasets, from structured lab test data to noisy field-collected logs
• Work with real-world battery pack field data and cell testing data from our labs
• Design and build data pipelines, experiment with ML/DL techniques, and validate models across chemistries and use-cases
• Collaborate with test engineers to drive new experiments and extract meaningful features from cycling, calendar, and abuse tests
• Guide junior data scientists as the team grows and evolve into a product leadership role

Who You Are

• A PhD in data science, applied ML, electrochemistry, mechanical/electrical engineering or similar (fresh grads welcome!) OR a Masters degree with 25 years of strong hands-on experience in battery or energy analytics
• Comfortable navigating both structured test datasets and unstructured real-world messiness
• Solid Python skills; comfort with tools like TensorFlow, PyTorch, Polars. Experience with PINNs is an advantage
• Experienced in building end-to-end ML workflows from data wrangling and feature engineering to training, validation, and deployment
• Curious about how batteries age, fail, and behave across chemistries, duty cycles, and environments
• Bonus: Prior exposure to battery modeling, cell cycling, EVs, BMS data, or time-series data diagnostics

What It&aposs Like in Fawkes Energy

• Fast-paced, impact-driven work environment where youll see your work deployed in real-world EV and battery contexts
• Small, multi-functional team working at the bleeding edge of clean-tech - hardware, software, and AI under one roof
• Youll work alongside data analysts, embedded engineers, test engineers, product teams and the founders (who also code and create physics-based models!)
• You wont just build dashboards, youll shape the core IP that powers diagnostics and decision-making in the battery world

Why Join Us

• Work on a cutting-edge hardware product at the intersection of EV, battery analytics, and climate action
• Opportunity to lead development and define a new category in the circular economy for EVs
• Fast-track to a technical leadership role in a high-impact, mission-driven startup
• Collaborative and technical team environment with real ownership

What You Will Get

• Competitive compensation, health insurance, conference budgets, access to EVs, batteries, and testbeds for experimentation
• Flexible hours - we are result-first and not hours-clocked
• A chance to work with batteries that dont sit in simulations, but in vehicles, fleets, and energy systems
• The opportunity to build core IP at the intersection of hardware, AI, and battery science

If this sounds like your kind of gig, email us at [HIDDEN TEXT].