At a Glance
- Tasks: Investigate and clean complex energy datasets while building data systems for a renewable electricity grid.
- Company: Join a leading renewable energy company with significant funding and industry influence.
- Benefits: Competitive salary, hybrid working, and opportunities to develop rare expertise in energy data.
- Other info: Collaborative environment with excellent career growth in the renewable energy sector.
- Why this job: Make a meaningful impact on the UK's power grid while working with modern data tools.
- Qualifications: Recent graduate in a quantitative field with strong Python and SQL skills.
The predicted salary is between 43200 - 60000 £ per year.
With hundreds of millions of pounds in funding, this company will play a critical role in the transition away from fossil fuels. This role offers the opportunity to work closely with industry leaders while helping to build the data systems required for a 100% renewable electricity grid.
Are you a methodical graduate who enjoys the “detective work” behind real-world data? This position goes beyond building pipelines – you’ll work hands-on with the complex, messy data that underpins UK energy markets, trading, and grid analytics. This is a rare opportunity to develop deep expertise in GB balancing market data using a modern data stack (Python, dbt, PostgreSQL, GitHub Actions), with no legacy Excel workflows.
The Role
- Perform data detective work: Investigate, map, and clean complex energy datasets — for example, cross-referencing Elexon API data with manual research to correctly link power plants and substations.
- Wrangle real-world data: Reconcile legacy data formats, manage time-series outliers, and resolve inconsistencies across different energy market message types.
- Build and automate: Write Python scripts to ingest data from National Grid ESO and Elexon APIs, using dbt and SQL to implement transformation logic.
- Document critical insights: Maintain reference datasets and clearly document mappings, assumptions, and edge cases that support trading and operational decisions.
What You’ll Bring
- Education: A recent graduate in a quantitative discipline such as Computer Science, Physics, Mathematics, Engineering, or Economics.
- Python skills: Strong foundations in Python, with the ability to write clean, readable code using pandas and numpy.
- Data fundamentals: Comfortable using SQL to query and transform data, with a sharp eye for identifying when data doesn’t look right.
- The right mindset: Patient with ambiguity, methodical in approach, and genuinely interested in energy markets or sustainability.
Please note: this is an investigation-heavy role. It’s not suited to those who expect perfectly clean datasets or want to focus purely on cloud infrastructure or DevOps.
Why Join Us?
- Meaningful impact: Work on data that directly influences how the UK power grid is balanced.
- Hybrid working: A collaborative environment with regular time in our London office (4 days per week).
- Develop rare expertise: Build highly valuable knowledge of the UK’s complex energy infrastructure.
- Modern data stack: A reproducible, scalable environment built with modern tools and best practices.
Data Specialist in Wakefield employer: SR2 | Socially Responsible Recruitment | Certified B Corporation
Join a forward-thinking company at the forefront of the renewable energy sector, where your work as a Junior Data Specialist will directly contribute to the transition away from fossil fuels. Enjoy a hybrid working model that fosters collaboration in our London office while developing rare expertise in the UK's energy markets using a modern data stack. With a strong focus on employee growth and meaningful impact, this is an excellent opportunity for recent graduates looking to make a difference in sustainability.
Contact Details:
SR2 | Socially Responsible Recruitment | Certified B Corporation Recruitment Team
StudySmarter Expert Advice🤫
We think this is how you could land Data Specialist in Wakefield
✨Get Involved in Data Science Meetups
Tap into local data science meetups or workshops to connect with fellow enthusiasts and professionals. These events are goldmines for networking, and sometimes even lead directly to job openings at companies like SR2 | Socially Responsible Recruitment | Certified B Corporation!
✨Show Off Your Projects
Start building a public portfolio showcasing your data science projects on platforms like GitHub or personal websites. Highlight unique analyses or models you've developed. This not only demonstrates your skills but also gets your name out there for roles like Data Specialist at SR2 | Socially Responsible Recruitment | Certified B Corporation.
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✨Apply Directly through Our Website
When you find a suitable opening like Data Specialist at SR2 | Socially Responsible Recruitment | Certified B Corporation, make sure to apply directly through our website. It gives you an edge and shows you're keen to join our team. Plus, who doesn’t love a direct application? It’s easier than navigating through job boards!
We think you need these skills to ace Data Specialist in Wakefield
Some tips for your application 🫡
Show Off Your Projects:In the world of data science, your projects can speak volumes about your skills. Make sure to showcase a few key projects in your CV or portfolio, especially those that highlight your ability to work with data sets, build models, or use relevant tools like Python, R, or SQL. Don’t forget to include links to any GitHub repositories if applicable!
Quantify Your Achievements:Employers love numbers! When drafting your CV, highlight your achievements with quantifiable results. For instance, mention how your data analysis led to a certain percentage increase in efficiency or revenue at a previous job or project. These details can really make your application pop!
Craft a Tailored Cover Letter:For a full-time role at SR2 | Socially Responsible Recruitment | Certified B Corporation, your cover letter should reflect your passion for data science and your excitement about the specific projects or values of the company. Dive into why you’re a good fit, how your skills align with their needs, and any unique perspectives you can bring to the team.
Stand Out with Relevant Courses and Certifications:Although experience talks, relevant courses or certifications can be your ticket to impressing hiring managers at SR2 | Socially Responsible Recruitment | Certified B Corporation. Mention any standout courses you've completed that equipped you with essential skills, such as machine learning certifications or data visualisation courses. This shows your commitment to continuously developing your skills in the field!
How to prepare for a job interview at SR2 | Socially Responsible Recruitment | Certified B Corporation
✨Brush Up on Your Statistics
For a data science role, we need to seriously sharpen our statistics skills. Get ready to tackle technical questions on probability distributions, hypothesis testing, and regression analysis. These are often the bread and butter of data science interviews, so don't just skim over them!
✨Showcase Your Projects
Prepare a killer portfolio showcasing your data science projects. We should include details about the datasets used, the tools and techniques applied, and the impact of your findings. If we can walk them through a particularly challenging project or a cool visualisation that had real-world implications, it’ll really make us stand out!
✨Get Comfortable with Python and R
Most data science positions require us to be proficient in programming languages like Python and R. We should practice common libraries like pandas, NumPy, and scikit-learn, and be ready for live coding exercises or algorithm questions. Showing off our coding chops can really impress the interviewers at SR2 | Socially Responsible Recruitment | Certified B Corporation!
✨Prepare for Case Studies
Expect to encounter real-world case studies during the interview. We might be asked how we’d approach a data problem or analyse a dataset to extract insights. It's essential to think out loud and demonstrate our problem-solving process so that the interviewer can see our logical thinking in action.
