Battery Data Scientist

2 years

0 Lacs

Posted:2 days ago| Platform: Linkedin logo

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On-site

Job Type

Full Time

Job Description

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, we’re 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, we’re 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'll 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 Master’s degree with 2–5 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's Like in Fawkes Energy

  • Fast-paced, impact-driven work environment where you’ll 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
  • You’ll work alongside data analysts, embedded engineers, test engineers, product teams and the founders (who also code and create physics-based models!)
  • You won’t just build dashboards, you’ll 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 + ESOPs, 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 don’t 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


talent@fawkes.energy




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