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- Tasks: Solve complex challenges using data-driven insights and machine learning in renewable energy.
- Company: Join a leading sustainable infrastructure company focused on innovation.
- Benefits: Earn up to £600/day, fully remote work, and a rolling 6-month contract.
- Why this job: Make a real impact in the renewable energy sector while advancing your data science skills.
- Qualifications: Experience with Python, machine learning, and collaboration with cross-functional teams.
- Other info: Mentor junior data scientists and shape the future of data science.
One of our Renewable Energy clients in the sustainable infrastructure space is seeking an experienced Data Scientist to join their advanced analytics team. This is a fully remote, hands-on role focused on solving complex operational challenges through data-driven insights and machine learning.
You’ll be working in a fast-paced environment, collaborating with cross-functional teams to develop models, guide technical decisions, and help shape the future of data science within the business - the company operates in a highly dynamic sector with a strong focus on innovation and efficiency.
As a Data Scientist, you'll work closely with both technical and non-technical teams to identify business problems and translate them into data science solutions. You'll lead the development of machine learning models - be hands on with Python and its data science ecosystem, ensuring data quality, building analytical pipelines, and visualising insights for stakeholders.
- Partner with cross-functional teams to translate business pain points into scalable data science solutions.
- Architect and deploy ML models (with a focus on time-series forecasting) to optimise field operations.
- Own the full analytics lifecycle—from data wrangling and pipeline design to model deployment and stakeholder storytelling.
- Mentor junior data scientists and elevate the team’s technical maturity.
If you are interested in this Data Scientist role, please apply to the advert or send your CV to jack@virtuetech.io.
Data Scientist | Renewable Energy | Up to £600/Day | Outside IR35 | Remote, LDN | 6 Mths Rolling employer: VirtueTech Recruitment Group
Contact Detail:
VirtueTech Recruitment Group Recruiting Team
StudySmarter Expert Advice 🤫
We think this is how you could land Data Scientist | Renewable Energy | Up to £600/Day | Outside IR35 | Remote, LDN | 6 Mths Rolling
✨Tip Number 1
Network like a pro! Reach out to folks in the renewable energy sector on LinkedIn or at industry events. We can’t stress enough how personal connections can lead to job opportunities that aren’t even advertised.
✨Tip Number 2
Show off your skills! Create a portfolio showcasing your data science projects, especially those related to machine learning and renewable energy. This gives potential employers a taste of what you can do and sets you apart from the crowd.
✨Tip Number 3
Prepare for interviews by brushing up on your technical skills and understanding the latest trends in renewable energy. We recommend practising common data science interview questions and being ready to discuss your past projects in detail.
✨Tip Number 4
Don’t forget to apply through our website! It’s the best way to ensure your application gets seen. Plus, we’re always looking for passionate individuals who want to make a difference in the renewable energy space.
We think you need these skills to ace Data Scientist | Renewable Energy | Up to £600/Day | Outside IR35 | Remote, LDN | 6 Mths Rolling
Some tips for your application 🫡
Tailor Your CV: Make sure your CV highlights relevant experience in data science, especially with Python and machine learning. We want to see how your skills align with the role, so don’t be shy about showcasing your achievements!
Craft a Compelling Cover Letter: Your cover letter is your chance to shine! Use it to explain why you’re passionate about renewable energy and how your background makes you a perfect fit for our team. Keep it concise but impactful!
Showcase Your Projects: If you've worked on any cool data science projects, make sure to mention them! We love seeing practical applications of your skills, especially if they relate to operational challenges or machine learning.
Apply Through Our Website: We encourage you to apply directly through our website. It’s the best way for us to keep track of your application and ensures you don’t miss out on any important updates from our team!
