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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
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 people in the renewable energy sector on LinkedIn or at industry events. A friendly chat can lead to opportunities that aren’t even advertised yet.
✨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 will give potential employers a taste of what you can do.
✨Tip Number 3
Prepare for interviews by brushing up on your technical skills. Be ready to discuss your experience with Python, Pandas, and machine learning models. Practice explaining complex concepts in simple terms for non-technical folks.
✨Tip Number 4
Don’t forget to apply through our website! It’s the best way to ensure your application gets seen. Plus, we love seeing candidates who are proactive about their job search.
We think you need these skills to ace Data Scientist | Renewable Energy | Up to £600/Day | Outside IR35 | Remote, LDN | 6 Mths Rolling
How to prepare for a job interview at VirtueTech Recruitment Group
✨Know Your Data Science Tools
Make sure you're well-versed in Python and its data science libraries like Pandas and NumPy. Brush up on your experience with Azure or AWS, as these are crucial for deploying machine learning models. Being able to discuss specific projects where you've used these tools will impress the interviewers.
✨Understand the Business Context
Since you'll be working closely with cross-functional teams, it's essential to understand the renewable energy sector and the specific challenges it faces. Research the company’s recent projects and think about how your skills can help solve their operational challenges. This shows that you’re not just a techie but also a strategic thinker.
✨Prepare for Technical Questions
Expect to dive deep into technical discussions during the interview. Be ready to explain your approach to building analytical pipelines and visualising insights. Practise explaining complex concepts in simple terms, as you'll need to communicate effectively with non-technical stakeholders.
✨Showcase Your Mentorship Skills
As a potential mentor for junior data scientists, be prepared to discuss your experience in guiding others. Share examples of how you've helped elevate a team's technical maturity or contributed to a collaborative environment. This will highlight your leadership qualities and commitment to team growth.
