Senior Data Scientist

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.