EVera Recruitment
Data Scientist

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Data plays a critical role in accelerating product development, improving decision-making and unlocking deeper insight into complex experimental programmes. As the Data Scientist, you will help build the data foundations that support the development of next-generation energy storage technologies, transforming raw experimental data into meaningful insights, visualisations and scalable analytical workflows.
The Data Scientist will:
- Develop tools and workflows to automate the extraction, processing and analysis of experimental data.
- Build and maintain data pipelines, databases and analytical frameworks.
- Generate meaningful features, visualisations and reports from complex datasets.
- Apply statistical analysis and machine learning techniques to support product development decisions.
- Present insights to both technical and non-technical stakeholders.
- Develop scripts, tools and automation solutions to improve business efficiency.
- Identify opportunities to enhance existing data methodologies and accelerate development cycles.
Reasons to use Rodeo
I’m in my final year doing Economics and I don’t know whether to apply for grad schemes now or do a masters first. What do you think?
Honest answer — it depends on where you want to end up. A lot of top grad schemes (Big 4, civil service, banking) don’t need a masters. Let’s look at the ones you’d be competitive for now, and we can decide if a masters actually adds anything.
Also worth knowing: most autumn 2026 applications are open now. Timing matters more than you think.
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Graduate Consultant — 2026 Scheme
Why you're a good match
StrongYour economics background and your summer at a regional bank line up with what PwC looks for on the consulting scheme. Applications close in four weeks.
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Every day your agent scans the market matching roles against what actually matters to you, not just keywords on a CV.
Why you're a good match
You’ve got the grades and the economics background, and your bank internship is exactly the experience this scheme looks for. Apply soon — deadlines close within the month.
Experience fit
Your summer at the bank plus your econometrics coursework map directly to the day-one responsibilities on this scheme — client modelling, market briefings, and deal support.
Only hits
No noise. No "maybe this fits." Just roles with a clear explanation of why they're right — and where to focus when applying.
The Data Scientist will have:
- A degree in Computer Science, Engineering, Physical Sciences or a related quantitative discipline.
- Strong programming skills for data analysis and workflow development, ideally including Python.
- Experience building data pipelines and working with complex datasets.
- Strong data visualisation and communication skills.
- Experience applying statistical methods and/or machine learning techniques.
- Knowledge of version control systems, such as Git.
- A proactive approach to problem-solving and continuous improvement.


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This role is well suited to someone who enjoys creating order from complexity, combining technical expertise with practical business impact. You'll have the opportunity to shape how data is used across the organisation, helping teams make faster, smarter and more confident decisions while supporting the development of innovative technologies. For more details, apply online and a member of our team will be in touch!
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