Data Scientist Junior jobs in United Kingdom

Frontier Economics is an economics consultancy that tackles the big questions facing governments, businesses and society. We help our clients to analyse and understand their markets and to formulate strategies based on sound economics. The methods and models we use are often complex, but our advice is always succinct, clear and honest. We advise across sectors and countries and we are one of the largest economic consultancies in Europe with more than 350 Economists based in our offices in Amsterdam, Berlin, Brussels, Cologne, Dublin, London, Madrid, Paris and Prague. Owned entirely by our staff, our business attracts the best people and the most interesting work. We go beyond the numbers to find out what\'s really going on. Our clients enjoy objective advice, clearly expressed. With our help, they make better decisions and get better results.

Our Junior Data Scientist role is part of our graduate intake. You\'ll contribute to projects across sectors, supported by training, mentoring and a graduate buddy. Roles typically commence in September/October 2026.

• Delivering analysis within a project framework set by others, using appropriate tools (e.g. machine learning, generative AI or econometrics).
• Working in line with our best practice including GitHub and coding standards.
• Communicating your technical work clearly: methods used, conclusions and how you reached them.
• Managing your time and workload to deliver consistently good work under competing demands.
• Building day-to-day client relationships and tailor outputs to different audiences.
• Contributing to the life of the firm through our values: Open, Interesting, Profitable and Fun.

• Training, mentoring and on-the-job learning in a collaborative team.
• Experience delivering data science projects in a consulting environment using industry standard approaches (Git/GitHub, coding standards and QA).
• Opportunities to source and assess data, trial innovative methods and work with large, complex datasets.
• Continued development in explaining data science concepts to non-technical audiences.

To keep it clear, we\'ve separated Essential and Preferred criteria. If you meet the Essentials and are actively developing some of the Preferred areas with a growth mindset, we recommend applying.

• Degrees: Minimum 2:1 bachelor\'s (Master\'s preferred) in quantitative fields that combine modules relevant to data science and economics, such as economics, econometrics, statistics, data science, computer science & economics, economics & finance, applied social data science, health data science, or public policy with data analytics (or similar).
• Economics application: Demonstrable and evidenced interest in applying data science to economics (e.g. causal inference, regression modelling, micro-econometrics, policy evaluation, behavioural science).
• Tech: Strong R or Python skills for data wrangling, modelling and visualisation.
• Language: Fluency in English.

• Experience with both R and Python.
• Familiarity with Git/GitHub and data-visualisation packages (e.g. Shiny, Streamlit).
• Strong communication skills with the ability to tailor explanations to different audiences.
• Collaborative mindset; ability to meet deadlines; intellectual curiosity and willingness to learn new techniques.
• A second European language.

Deadline: 3 November 2025. We recommend applying early as the vacancy may close if positions are filled.

Submit your application via our careers site. You do not need to upload a photo with your CV.

We\'re determined that everyone has an equal chance to join us and progress their career at Frontier. We care about creating an inclusive atmosphere and are committed to promoting diversity and inclusion in all its forms. Read more about our initiatives on our website: https://www.frontier-economics.com/uk/en/careers/equity-diversity-inclusion/

Frontier Economics is an equal-opportunity employer and makes employment decisions without regard to race, colour, religion, gender, sexual orientation, gender identity, national origin, disability status, age or any other status protected by law.