2025 Junior Data Scientist - London

Deadline: 8 November 2024 - (We would strongly encourage applicants to apply early as the vacancy may close earlier if positions are filled)

Who we are

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 .

Data Science at Frontier

Working with our economists, the Data Science team use cutting edge analytical methods and tools to provide convincing, evidence-based advice to management teams, government and competition authorities. They mine large and complex data sources, explain causal relationships and deliver compelling visualisations whilst also guiding clients on how to think strategically about their data.

An overview of the Junior Data Science role

Analysis and Problem Solving
Working independently to deliver analysis, within an overall project framework set by others, using data science tools and techniques (e.g. machine learning, NLP or econometrics) where appropriate.

Communication
Providing clear explanations of your technical work, your conclusions and how they were reached.

Work management
Structuring and managing time to deliver consistently good work under conflicting challenges.

Client relationships
Building regular contact through day-to- day project interactions and tailoring outputs to different clients.

Frontier Ambassador
Contributing to the life of the firm beyond project work through Frontier values: Open, Interesting, Profitable and Fun.

You’ll be supported by an experienced mentor and your graduate ‘buddy’.

The roles will typically commence in September and October 2025

About You

You will:

• Be working towards/will have obtained a minimum 2:1 bachelor's and preferably a Masters, in a quantitative subject (such as data science, applied statistics, economics, mathematics) or equivalent
• Have good skills in R and the Tidyverse tools to manage, analyse, and visualise datasets. Familiarity with other tools such as Git/GitHub, Python, STATA, Mathematica/Matlab, GAMS, and PowerBI would also be desirable
• Be intellectually curious and willing to learn new techniques and apply them to novel problems.
• Be an effective collaborator and have exceptional communication skills (feedback skills, communicating under pressure and taking the lead where needed)
• Have an ability to meet deadlines
• Have a proven interest in learning about economics, especially those topics at the intersection of data science and economics such as causal inference, regression modelling, microeconomics or behavioural science
• Be fluent in English (a second language is also desirable, but not essential)

If any of the requirements listed do not fully apply to you, but you feel that you could bring a growth mindset to those areas, we still encourage you to apply.

What you’ll get from the role

This is a great opportunity to manage your own time to work both independently and also work collaboratively with the Data Science team and with other teams across Frontier. You’ll be able to share your technical skills with other members of the team, whilst you develop your own skills.

You’ll learn to deliver data science projects in a work environment, including working with GitHub, coding standards and quality assurance. You will source data and set our data requirements, adapting analysis based on data availability. You’ll analyse large and complex data sets and use data science tools.

What you need to do next?

If you would like to apply submit your application now!