Data Scientist
Listed on 2026-03-09
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IT/Tech
Data Analyst, Data Scientist, Data Engineer, Machine Learning/ ML Engineer
Ecotricity, the UK’s first true green energy provider, has a strong internal team supporting and developing solutions across multiple mission critical platforms including Databricks and Salesforce. This technical hands-on role, of Data Scientist, will contribute to our delivery of projects, BAU, and helping Ecotricity become more efficient by leveraging our data.
The Ecotricity Technology department is a small friendly team with a strong focus on getting results, with everyone committed to delivering both individually and as part of the group/project.
We’re proud to be an ethical company, and this naturally attracts ethical people, making for a good safe working environment and a team that works and wins together. We also have a competitive benefits package and chose to invest in our people whenever we can.
Responsibilities- Take ownership of designing, building, validating, and maintaining data science solutions, from exploratory analysis through to production deployment.
- Build strong relationships with key stakeholders outside the department.
- Be accountable for the quality, robustness, and reproducibility of analytical outputs, ensuring issues in data, assumptions, or model performance are identified and addressed promptly.
- Promote and contribute to best practice in data science, including experimentation, model validation, version control, and ethical use of data.
- Overall responsibility for ensuring that faults are resolved swiftly, and background processes are robust and actively monitored.
- Seek day to day opportunities to upskill and cross train with your peers.
You will be an experienced Data Scientist with a strong track record in advanced analytics, statistical modelling, and applying data-driven approach to problem solving. You will work with large, complex datasets to extract insight, build predictive and descriptive models, and support evidence-based decision making across the business.
You will be comfortable building strong working relationships across teams and mentoring junior colleagues, helping to raise data science capability and maturity. The role requires a clear and confident communicator, able to translate complex requirements into deliverable solutions. You will be expected to set realistic delivery timescales and apply strong stakeholder management skills throughout the delivery lifecycle.
While experience in the Energy industry is a plus, it’s your technical prowess and ability to create robust data solutions that will set you apart. This is your chance to take full ownership of technical solutions, shaping the future of our data infrastructure.
You will collaborate closely with project managers, product owners, and stakeholders, effectively communicating progress, presenting solutions, and delivering demos. Your ability to adapt your communication style to different audiences will be crucial in ensuring everyone is aligned and informed.
As this role offers the flexibility to work remotely, you will need to be self‑motivated, delivery-focused, and capable of driving projects independently. We are committed to supporting your growth, but you should also be someone who constantly seeks out opportunities for improvement, striving for best practices and technical excellence.
If you are ready to lead and make a tangible difference in a dynamic environment, we encourage you to apply and take your career to the next level.
Knowledge and skills- Strong grounding in statistics, mathematical modelling, and scientific analysis.
- Ability to build, validate, and maintain predictive and descriptive models, including machine learning and AI methods, with a scientific and experimental approach.
- Skilled at handling diverse datasets, performing data exploration, visualisation, and story telling for technical and non technical audiences.
- Experience with ML/AI applications
What's in it for you...
Healthcare plan, life assurance and generous pension contribution
Volunteering Day
Hybrid Working
Various company discounts (including shops, gyms, days out and events)
Holiday of 25 days (plus bank holidays) & ability to buy/sell days
Cycle to work scheme, car pooling and onsite parking available
As a…
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