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- Tasks: Develop analytical models and work with real-world energy datasets.
- Company: Mission-driven team focused on sustainability in London.
- Benefits: Competitive package, hybrid working, and generous annual leave.
- Why this job: Make a real impact on sustainability while kickstarting your data science career.
- Qualifications: Degree in relevant field and 0-2 years of data experience.
- Other info: Gain hands-on experience and mentorship in a supportive environment.
The predicted salary is between 28800 - 43200 £ per year.
Are you a Junior Data Scientist looking to start your career working on meaningful, real-world problems in the energy and sustainability space? We’re looking for a curious and motivated Junior Data Scientist to join a growing, mission-driven team in London, working in a flexible hybrid environment. This role is ideal for someone early in their career who’s excited by data, passionate about sustainability, and eager to apply analytics and machine learning to help drive the energy transition.
You’ll sit within a collaborative data and analytics function, contributing to projects focused on energy insights, reporting, and optimisation, while learning from experienced data professionals in a supportive, growth-oriented environment.
- Develop and support analytical and statistical models using Python
- Work with real-world energy and environmental datasets, including data cleaning, validation, and feature engineering
- Use AWS services to support data storage, processing, and analytics workflows
- Query and manipulate structured datasets using SQL
- Build reports, dashboards, and visualisations that translate data into clear, actionable insights
- Contribute to carbon, environmental, or sustainability reporting (training provided if new to this area)
- Collaborate with analysts, engineers, and non-technical stakeholders to support data-driven decision-making
- Help maintain best practices around data quality, documentation, and reproducibility
Career Development – Hands-on experience, mentoring from senior data professionals, and clear progression pathways
Hybrid Working – A balanced mix of remote work and time in a central London office
Purpose-Driven Work – Apply your skills to projects that support sustainability and the energy transition
Competitive Package – Compensation and benefits tailored to experience, including bonus, pension, and generous annual leave
A degree in Data Science, Computer Science, Mathematics, Statistics, Engineering, or a related field
0–2 years of experience in data analysis or data science (graduate roles, internships, placements, or academic projects welcome)
Strong Python experience for data analysis and modelling (pandas, NumPy, scikit-learn or similar)
Solid experience working with SQL and structured datasets
Hands-on experience using AWS (e.g. A good understanding of statistics, data wrangling, and analytical thinking)
Bonus: exposure to carbon reporting, environmental reporting, ESG data, or energy-related analytics
If you’re excited about building a career in data science while contributing to a more sustainable energy future, we’d love to hear from you. Apply now and take the first step in your data science career.
Marketing Data Scientist in London employer: Intellect Group
Contact Detail:
Intellect Group Recruiting Team
StudySmarter Expert Advice 🤫
We think this is how you could land Marketing Data Scientist in London
✨Tip Number 1
Network like a pro! Reach out to professionals in the energy and sustainability sectors on LinkedIn. Join relevant groups, attend webinars, and don’t be shy about asking for informational interviews. We all know that sometimes it’s not just what you know, but who you know!
✨Tip Number 2
Show off your skills! Create a portfolio showcasing your data projects, especially those related to sustainability. Use platforms like GitHub to share your code and visualisations. This way, potential employers can see your work in action, and we all love a good visual!
✨Tip Number 3
Prepare for interviews by brushing up on your technical skills. Practice common data science problems and be ready to discuss your experience with Python, SQL, and AWS. We recommend doing mock interviews with friends or using online platforms to get comfortable with the format.
✨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 energy transition. So, hit that apply button and let’s get started on this journey together!
We think you need these skills to ace Marketing Data Scientist in London
Some tips for your application 🫡
Tailor Your CV: Make sure your CV reflects the skills and experiences that match the job description. Highlight your Python, SQL, and any relevant projects or internships that showcase your data analysis abilities.
Craft a Compelling Cover Letter: Use your cover letter to tell us why you're passionate about sustainability and how your background aligns with our mission. Share specific examples of your work with data and how you can contribute to our team.
Showcase Your Projects: If you've worked on any relevant projects, whether in school or during internships, make sure to include them. We love seeing practical applications of your skills, especially if they relate to energy or environmental data.
Apply Through Our Website: We encourage you to apply directly through our website for the best chance of getting noticed. It’s the easiest way for us to keep track of your application and ensure it reaches the right people!
How to prepare for a job interview at Intellect Group
✨Know Your Data Tools
Make sure you brush up on your Python and SQL skills before the interview. Be ready to discuss how you've used libraries like pandas or NumPy in past projects, even if they were academic. This shows you're not just familiar with the tools but can apply them effectively.
✨Show Your Passion for Sustainability
Since this role is focused on energy and sustainability, be prepared to talk about why these topics matter to you. Share any relevant projects or experiences that highlight your commitment to making a positive impact in this area.
✨Prepare for Technical Questions
Expect some technical questions related to data analysis and modelling. Practice explaining your thought process when working with datasets, including data cleaning and feature engineering. This will demonstrate your analytical thinking and problem-solving skills.
✨Ask Insightful Questions
At the end of the interview, have a few thoughtful questions ready. Inquire about the team’s current projects or how they measure success in their sustainability initiatives. This shows your genuine interest in the role and the company’s mission.