Data Scientist
Role details
Job location
Tech stack
Job description
- 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.
Requirements
Do you have experience in Machine learning?, 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.
Benefits & conditions
Job Types: Full-time, Permanent
Pay: £55,000.00-£65,000.00 per year
Benefits:
- Canteen
- Casual dress
- Free parking
- On-site parking
Application question(s):
- Ecotricity offers hybrid working. Are you able to reliably commute to our Stroud office 2/3 days per week?
- Will you now or in the future require sponsorship for employment visa status?