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For Companies At a Glance
- Tasks: Design and maintain data science solutions to drive efficiency and insights.
- Company: Join Ecotricity, the UK's first true green energy provider.
- Benefits: Enjoy healthcare, generous pension, hybrid working, and 25 days holiday.
- Other info: Opportunity for growth in a dynamic environment with a commitment to sustainability.
- Why this job: Make a real impact in a friendly team focused on ethical practices.
- Qualifications: Experience in data science, statistical modelling, and strong communication skills.
The predicted salary is between 50000 - 70000 £ per year.
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 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 choose 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.
About You
You will be an experienced Data Scientist with a strong track record in advanced analytics, statistical modelling, and applying a 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 storytelling for technical and non-technical audiences.
- Experience with ML/AI applications.
About Us
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).
Ecotricity is an equal opportunities employer and is committed to providing equality for all.
Data Scientist employer: Ecotricity Jobs
Contact Detail:
Ecotricity Jobs Recruiting Team
StudySmarter Expert Advice 🤫
We think this is how you could land Data Scientist
✨Tip Number 1
Network like a pro! Reach out to current employees at Ecotricity on LinkedIn or other platforms. Ask them about their experiences and any tips they might have for your application process. Building these connections can give you insider knowledge and make you stand out.
✨Tip Number 2
Show off your skills! Prepare a portfolio showcasing your data science projects, especially those that demonstrate your ability to handle large datasets and create predictive models. This will not only impress the hiring team but also give you confidence during interviews.
✨Tip Number 3
Practice your communication skills! Since you'll need to explain complex data solutions to various stakeholders, try explaining your past projects to friends or family. This will help you refine your ability to communicate technical concepts clearly and effectively.
✨Tip Number 4
Apply through our website! It’s the best way to ensure your application gets seen by the right people. Plus, it shows your enthusiasm for joining Ecotricity and being part of a team that values ethical practices and innovation.
We think you need these skills to ace Data Scientist
Some tips for your application 🫡
Tailor Your CV: Make sure your CV is tailored to the Data Scientist role at Ecotricity. Highlight your experience with advanced analytics, statistical modelling, and any relevant projects that showcase your ability to handle large datasets. We want to see how your skills align with our mission!
Craft a Compelling Cover Letter: Your cover letter is your chance to shine! Use it to explain why you're passionate about data science and how you can contribute to Ecotricity's goals. Don’t forget to mention your commitment to ethical practices and how you can help us become more efficient with our data.
Showcase Your Communication Skills: As a Data Scientist, you'll need to communicate complex ideas clearly. In your application, demonstrate your ability to translate technical jargon into understandable language. This will show us that you can build strong relationships with stakeholders across the company.
Apply Through Our Website: We encourage you to apply directly through our website. It’s the best way for us to receive your application and ensures you’re considered for the role. Plus, it shows us you’re proactive and keen to join our friendly team at Ecotricity!
How to prepare for a job interview at Ecotricity Jobs
✨Know Your Data Science Stuff
Make sure you brush up on your statistics, mathematical modelling, and machine learning techniques. Be ready to discuss specific projects where you've built and validated models, as well as how you approached problem-solving with data.
✨Show Off Your Communication Skills
Since you'll be working with various stakeholders, practice explaining complex data concepts in simple terms. Think of examples where you've successfully communicated technical information to non-technical audiences, as this will demonstrate your ability to bridge the gap.
✨Demonstrate Your Team Spirit
Ecotricity values collaboration, so come prepared to talk about how you've worked in teams before. Share experiences where you've mentored others or contributed to a group project, highlighting your commitment to helping your colleagues grow.
✨Be Ready for Ethical Discussions
As an ethical company, Ecotricity will likely want to know your views on the ethical use of data. Prepare to discuss best practices in data science and how you've ensured the robustness and reproducibility of your analytical outputs in past roles.