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For Companies 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 open doors that applications alone can’t.
✨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 beyond just a CV.
✨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 love seeing candidates who take the initiative to engage with us directly.
Some tips for your application 🫡
Tailor Your CV: Make sure your CV is tailored to the Data Scientist role. Highlight your experience with Python, machine learning, and any relevant projects in renewable energy. We want to see how your skills align with the job description!
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 renewable energy. Share specific examples of how you've solved complex problems in the past, and let us know why you’d be a great fit for our team.
Showcase Your Projects: If you've worked on any relevant projects, make sure to include them! Whether it's a personal project or something from a previous job, we love seeing practical applications of your skills. Include links to your GitHub or any other platforms where we can check out your work.
Apply Through Our Website: We encourage you to apply through our website for a smoother process. It helps us keep track of applications better and ensures you don’t miss out on any important updates. Plus, it’s super easy!
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 libraries like Pandas and NumPy. Brush up on your experience with Azure or AWS, as these will likely come up during the interview. Be ready to discuss specific projects where you’ve used these tools to solve real-world problems.
✨Understand the Business Context
Since this role involves translating business pain points into data solutions, do some homework on the renewable energy sector. Familiarise yourself with common challenges in sustainable infrastructure and think about how your skills can address them. This will show your potential employer that you’re not just a techie but also understand the bigger picture.
✨Prepare for Technical Questions
Expect to dive deep into technical discussions, especially around machine learning models and time-series forecasting. Prepare to explain your thought process in developing models and how you ensure data quality. Practising coding challenges or case studies can help you feel more confident.
✨Showcase Your Collaboration Skills
This role requires working with both technical and non-technical teams, so be ready to share examples of how you’ve successfully collaborated in the past. Highlight any mentoring experiences you have, as they’ll want to see your ability to elevate the team’s technical maturity.
