Senior Data Scientist

Select how often (in days) to receive an alert:

Location: Kidlington
Working pattern: Full-time, hybrid, 40 hours per week
Contract: Permanent

THE POWER OF NOW

Fortescue Zero develops, tests and deploys technology to help decarbonise industry. As Fortescue's green technology and engineering business, it works across areas including power systems, motor sport, battery intelligence and autonomous fleet solutions.

We're looking for a Senior Data Scientist - Battery Prognostics to join Elysia, Fortescue Zero's battery intelligence business
. In this role, you'll turn complex battery data into reliable insight, helping customers understand battery performance, investigate potential issues and make informed decisions. You'll work with technical and customer-facing teams to validate analysis, explain its limitations and build workflows that can be repeated and scaled.

Elysia develops battery software and analytics to help improve the safety, reliability, performance and lifespan of battery systems. Its solutions combine expertise in electrochemistry, battery systems and data science, and are used in applications including automotive, energy storage and heavy industry.

Working across cloud-based analytics and embedded battery management systems, Elysia helps customers better understand and manage their battery assets. Its work draws on more than a decade of battery expertise and experience shaped by high-performance electric vehicles and real-world operating environments.

How we work

At Fortescue Zero, we push the boundaries of engineering to develop technology for real-world challenges, from motor sport to mining. At Elysia, we bring together expertise in battery systems, electrochemistry and data science to develop battery intelligence solutions. Fortescue is committed to an inclusive workplace where people are supported to bring their perspectives and do their best work.

In this role, you will:

• Lead complex analytical investigations, turning customer data into clear, reliable evidence
• Apply Elysia's battery metrics and models to answer customer and technical questions
• Check data quality, coverage and representativeness, identifying gaps, bias and uncertainty that could affect conclusions
• Investigate unusual or inconsistent results and explain the strength and limitations of the evidence
• Work with Technical Specialists and engineers to ensure analysis supports customer decisions
• Build repeatable, well-documented workflows that can be reviewed, re-run and scaled
• Share analytical insight with customer-facing teams and contribute to improvements in Elysia's tools and methods
• Review work and provide technical guidance to other analysts or Data Scientists where appropriate

To be successful in this role, you'll combine strong analytical judgement with the confidence to work through complex data, question the evidence and turn your findings into clear, reliable insight. You'll also have:

• A strong background in data science, analytics, applied mathematics, engineering, physics, computer science or a related technical discipline
• Strong Python skills for data analysis, modelling and pipeline development
• Experience working with complex, ambiguous or large-scale technical datasets
• Experience leading analytical investigations and validating data quality, results and uncertainty
  
  Experience building repeatable or automated analysis workflows
• The ability to communicate findings, limitations and data quality issues clearly to technical stakeholders
• Strong attention to detail and a commitment to producing reliable, reviewable analysis
• A relevant STEM degree or equivalent technical experience
• Experience with battery, BMS, telematics, time-series, fleet or…