Be at the heart of actionFly remote-controlled drones into enemy territory to gather vital information.

Apply Now

Data Scientist (Battery)

Coventry
9 months ago
Applications closed

Related Jobs

View all jobs

Data Scientist

Data Scientist

Data Scientist

Data Scientist

Data Scientist

Data Scientist - Outside IR35

Our client, a leading organisation focusing on battery cell research and manufacturing is currently seeking a Data Scientist to join their team! The successful candidate will support the capture and analysis of data generated from the production and test of the organisation’s baseline and customer products.
 
The Data Scientist will:

Deliver and report data outcomes to customer and internal programmes, on time and to target.
Determine trends between manufacturing data and cell performance to inform and teach in-line checks (such as defect definition and detection) and supplement other predictive tools.
Develop the tools and platforms that enable the streamlining of delivering data to customer programmes.
Liaise with engineers and senior management to identify potential concerns and root cause from data sets.
Manage and interpret cell and battery performance data.
Provide inputs to other analysis tools in the business such as product and process simulation.
Capture and post processing of on-line measurement data during manufacturing to ensure these are evaluated ahead of project stage gates and dashboards remain up to date.  
The Data Scientist will have:

Degree qualification in relevant Engineering or Science discipline (such as but not limited to Computer Science, Mathematics, Mechanical/Chemical Engineering, Physics)
Relevant industry experience where advanced analytics is demonstrated (Automotive & Motorsport, Battery or Semiconductor Manufacturing, Pharmaceuticals & Biomedical, Retail & Web, Finance)
Excellent analytical and programming skills at various levels (preferably Python) to support data extraction and analysis.
Experience in MongoDB and SQL databases.
Ability to manage various stakeholder requirements and expectations on data management (voice of customer).
Experience in using Data visualisation software such as Microsoft Power BI, Tableau.
Excellent communication skills with the ability to explain complex ideas and outcomes to various levels (senior management, technical, non-technical) as part of their day-to-day activity and at meetings.  
If you would like to receive more details, simply submit a copy of your CV online and a member of the EVera team will be in touch

Subscribe to Future Tech Insights for the latest jobs & insights, direct to your inbox.

By subscribing, you agree to our privacy policy and terms of service.

Industry Insights

Discover insightful articles, industry insights, expert tips, and curated resources.

Jobs

Machine Learning Recruitment Trends 2025 (UK): What Job Seekers Need To Know About Today’s Hiring Process

Summary: UK machine learning hiring has shifted from title‑led CV screens to capability‑driven assessments that emphasise shipped ML/LLM features, robust evaluation, observability, safety/governance, cost control and measurable business impact. This guide explains what’s changed, what to expect in interviews & how to prepare—especially for ML engineers, applied scientists, LLM application engineers, ML platform/MLOps engineers and AI product managers. Who this is for: ML engineers, applied ML/LLM engineers, LLM/retrieval engineers, ML platform/MLOps/SRE, data scientists transitioning to production ML, AI product managers & tech‑lead candidates targeting roles in the UK.

Jobs

Why Machine Learning Careers in the UK Are Becoming More Multidisciplinary

Machine learning (ML) has moved from research labs into mainstream UK businesses. From healthcare diagnostics to fraud detection, autonomous vehicles to recommendation engines, ML underpins critical services and consumer experiences. But the skillset required of today’s machine learning professionals is no longer purely technical. Employers increasingly seek multidisciplinary expertise: not only coding, algorithms & statistics, but also knowledge of law, ethics, psychology, linguistics & design. This article explores why UK machine learning careers are becoming more multidisciplinary, how these fields intersect with ML roles, and what both job-seekers & employers need to understand to succeed in a rapidly changing landscape.

Jobs

Machine Learning Team Structures Explained: Who Does What in a Modern Machine Learning Department

Machine learning is now central to many advanced data-driven products and services across the UK. Whether you work in finance, healthcare, retail, autonomous vehicles, recommendation systems, robotics, or consumer applications, there’s a need for dedicated machine learning teams that can deliver models into production, maintain them, keep them secure, efficient, fair, and aligned with business objectives. If you’re hiring for or applying to ML roles via MachineLearningJobs.co.uk, this article will help you understand what roles are typically present in a mature machine learning department, how they collaborate through project lifecycles, what skills and qualifications UK employers look for, what the career paths and salaries are, current trends and challenges, and how to build an effective ML team.

🍪 We use cookies to enhance your browsing experience on our website. By continuing to use this site, you consent to the use of cookies as described in our Cookie Policy. You can review our Cookie Policy for more information.