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For Companies At a Glance
- Tasks: Analyse data using cutting-edge tools like machine learning and generative AI.
- Company: Join a leading economics consultancy with a collaborative and inclusive culture.
- Benefits: Gain hands-on experience, training, and mentoring in a dynamic team environment.
- Why this job: Make a real impact by delivering evidence-based analysis to diverse clients.
- Qualifications: Pursuing a degree in quantitative fields with strong R or Python skills.
- Other info: Opportunities for career growth and a chance to work on exciting projects.
The predicted salary is between 500 - 1500 £ per month.
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.
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.
How to apply
Deadline: 1st March 2026 (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.
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.
2026 Junior Data Scientist Internship - London employer: Frontier Economics
Contact Detail:
Frontier Economics Recruiting Team
StudySmarter Expert Advice 🤫
We think this is how you could land 2026 Junior Data Scientist Internship - London
✨Tip Number 1
Network like a pro! Reach out to current or former interns and employees at Frontier Economics on LinkedIn. Ask them about their experiences and any tips they might have for landing the internship. Personal connections can make a huge difference!
✨Tip Number 2
Prepare for your interview by brushing up on your technical skills. Make sure you can confidently discuss your experience with R or Python, and be ready to explain how you've applied data science concepts in real-world scenarios. Practice makes perfect!
✨Tip Number 3
Show off your passion for economics and data science! During interviews, share specific examples of projects or coursework that highlight your interest and skills. This will help you stand out as someone who genuinely cares about the field.
✨Tip Number 4
Don't forget to apply through our website! It's the best way to ensure your application gets seen. Plus, it shows you're serious about joining the team at Frontier Economics. Get your application in early to avoid missing out!
We think you need these skills to ace 2026 Junior Data Scientist Internship - London
Some tips for your application 🫡
Show Your Passion for Data Science: Let us see your enthusiasm for data science and economics! In your application, highlight any relevant projects or experiences that demonstrate your interest in applying data science to real-world problems. This will help us understand why you're a great fit for the role.
Tailor Your CV and Cover Letter: Make sure your CV and cover letter are tailored to the internship. Use keywords from the job description and showcase your skills in R or Python, as well as any experience with Git/GitHub. This shows us that you’ve done your homework and are genuinely interested in joining our team.
Be Clear and Concise: When writing your application, keep it clear and to the point. We appreciate succinct communication, so make sure to explain your methods and conclusions without unnecessary jargon. This will demonstrate your ability to communicate complex ideas effectively, which is key in our consulting environment.
Apply Early!: Don’t wait until the last minute to submit your application. We recommend applying early as positions may fill up quickly. Head over to our careers site and get your application in – we can’t wait to see what you bring to the table!
How to prepare for a job interview at Frontier Economics
✨Know Your Data Science Basics
Make sure you brush up on your R and Python skills, especially in data wrangling and visualisation. Be ready to discuss how you've applied these tools in your studies or projects, as this will show your practical understanding of the concepts.
✨Understand the Economics Context
Since Frontier Economics focuses on applying data science to economics, it’s crucial to demonstrate your interest in this area. Prepare examples of how you've used data science techniques for economic analysis or policy evaluation, and be ready to explain them clearly.
✨Communicate Clearly
Practice explaining complex data science concepts in simple terms. You might be asked to present your findings or methods during the interview, so think about how you can tailor your explanations to different audiences, just like you would with clients.
✨Show Your Collaborative Spirit
Frontier values teamwork, so be prepared to discuss experiences where you've worked in a group setting. Highlight your ability to meet deadlines and your willingness to learn from others, as this will resonate well with their company culture.
