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Senior Data Scientist

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United Kingdom
Work type
Hybrid
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Country/Region: GB
State: OXF
City: Kidlington
Job ID: 19081

SENIOR DATA SCIENTIST – BATTERY PROGNOSTICS

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, motorsport, 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 motorsport 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.

What you’ll do

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

What you’ll bring

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:

Essential

  • 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

Desirable

  • Experience with battery, BMS, telematics, time-series, fleet or industrial IoT data
  • Knowledge of lithium-ion batteries, degradation, battery diagnostics or remaining useful life prediction
  • Experience with statistical modelling, machine learning, optimisation, signal processing or time-series analysis
  • Familiarity with data pipelines, cloud analytics, APIs, testing or software engineering practices
  • Experience in automotive, energy storage, mining, motorsport, aerospace or another technically complex environment
  • Experience coaching colleagues or reviewing analytical work

About you

You’re interested in pioneering technology and its potential to support a more sustainable future. You’re motivated by the opportunity to contribute to work with real-world impact and help advance battery intelligence.

Benefits

Benefits include, subject to eligibility and scheme rules:

  • Bonus scheme
  • Aviva workplace pension
  • Group life assurance
  • Group income protection
  • Electric car scheme
  • Health cash plan
  • Employee assistance programme
  • Private medical insurance
  • 26 days’ annual leave, plus public holidays, with the option to purchase up to 5 additional days per year
  • Childcare benefits
  • Free on-site gym access and discounted national gym memberships

Additional information

You do not need to meet every desirable criterion to apply. If you meet the essential criteria and are interested in the role, we encourage you to apply. Fortescue Zero welcomes applicants with a range of backgrounds, experiences and skills, and is committed to an inclusive recruitment process.

If you need reasonable adjustments at any stage of recruitment, please contact kelly.greening@fortescue.com.

Appointment may be subject to pre-employment checks relevant to the role. We will explain any required checks during the recruitment process.

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