Deadline:
March 02, 2026
Location(s)
United Kingdom
London
Overview
Details
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.
Data Science at Frontier
Working with our economists, our Data Science team use cutting-edge analytical methods and tools, including generative AI, machine learning and many more. We provide convincing, evidence-based analysis to management teams, government and competition authorities. Our data scientists mine large and complex data sources, explain causal relationships and deliver compelling visualisations and dashboards, whilst also guiding clients on how to think strategically about how they can exploit their data.
About the role
Our Junior Data Science Internship is part of the overall internship programme. You’ll contribute to projects across sectors, supported by training, mentoring and a graduate buddy. The internship usually takes place over the Summer.
What you’ll be doing
-
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.
What you’ll get out of it
-
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.
Opportunity is About
Eligibility
Candidates should be from:
Description of Ideal Candidate
About you
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.
Essential
-
Degrees: Working towards a 2:1 bachelor’s or Master’s (working towards a Master’s is 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.
Preferred
-
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.
Dates
Deadline: March 02, 2026
Cost/funding for participants
Un-save Opportunity
Internships, scholarships, student conferences and competitions.
