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- Tasks: Solve complex challenges using data-driven insights and machine learning in renewable energy.
- Company: Join a leading renewable energy client focused on sustainable infrastructure.
- Benefits: Earn up to £600/day, enjoy remote work, and flexible contract terms.
- Why this job: Make a real impact in a dynamic sector while shaping the future of data science.
- Qualifications: Experience with Python, machine learning, and strong analytical skills required.
- Other info: Mentor junior data scientists and grow your career in a fast-paced environment.
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 will work closely with both technical and non-technical teams to identify business problems and translate them into data science solutions. You will 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 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.
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 in your application. Whether it's a personal project or something from a previous job, we love seeing practical applications of your skills, especially in data wrangling and model deployment.
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 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
Before the interview, research the renewable energy sector and the specific challenges it faces. Be prepared to discuss how your data science skills can address these issues. Showing that you understand the business pain points will demonstrate your ability to translate technical solutions into real-world applications.
✨Prepare for Technical Questions
Expect to dive deep into technical discussions about machine learning models and data pipelines. Review common algorithms, especially those related to time-series forecasting, and be ready to explain your thought process in developing and deploying these models. Practice articulating your approach clearly and confidently.
✨Showcase Your Collaboration Skills
Since this role involves working with cross-functional teams, be ready to share examples of how you've successfully collaborated with both technical and non-technical stakeholders. Highlight any mentoring experiences you have, as this shows leadership potential and a commitment to elevating team performance.
