This job is with Frontier Economics, an inclusive employer and a member of myGwork – the largest global platform for the LGBTQ+ business community. Please do not contact the recruiter directly.
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
.An overview of the Junior Data Science InternshipAnalysis and Problem SolvingWorking 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 appropriateCommunicationProviding clear explanations of your technical work, your conclusions and how they were reached.Work managementStructuring and managing time to deliver consistently good work under conflicting challengesClient relationshipsBuilding regular contact through day-to- day project interactions and tailoring outputs to different clientsFrontier AmbassadorContributing to the life of the firm beyond project work through Frontier values: Open, Interesting, Profitable and FunThroughout the internship you'll be supported by an experienced mentor and your graduate 'buddy'.The internships will take place over Summer 2025 and will be between 8 - 12 weeks.About YouYou 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 an effective collaborator•
Be intellectually curious and willing to learn new techniques and apply them to novel problems.•
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, regressionmodelling, microeconomics or behavioural science•
Have a fluency in English is required (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 applyWhat you'll get from the internshipThis 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 and techniques.
You will further hone your ability to break down data science concepts to others.What you need to do next?If you would like to apply submit your application now!Deadline: 21st February 2025(We would strongly encourage applicants to apply early as the vacancy may close earlier if positions are filled)Please note that you are
not
required to upload a photo to your CV.We are determined that everyone has an equal chance to join us and progress their career with Frontier. We care about creating an inclusive atmosphere and are committed to promoting diversity and inclusion in all its forms. Read more about our incentives here: 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.#LI-DNI
