Junior Data Scientist (Economics) - 1 Year University Placement

🔒 Confidential Employer
Posted 24 April 2026
LOCATION
London
TYPE
Temporary
LEVEL
Internship
CATEGORY
Data Science
This employer holds a UK Home Office sponsor license — sponsorship for this specific role is at the employer’s discretion

SKILLS

Statistical methods SQL Excel MS Office Data manipulation Communication skills Python R

FULL DESCRIPTION

JOIN OUR JOURNEY

[Employer hidden — view at passion-project.co.uk] is the UK’s leading independent media agency, and one of the fastest growing in the industry. We’re a media agency that’s made differently: purpose led, data-driven, founder-run and proudly independent.

Our entrepreneurial spirit means success is rewarded and there are no limits to what you can achieve, which our employees agree with, evidenced by being a Campaign ‘Best Place to work’ for the last 5 years in a row, Campaign's Independent Agency of the Year 2024 and The Sunday Times Best Places to Work 2025. We are IPA Effectiveness accredited, an IPA People-First agency and widely awarded including a double-gold at the 2024 IPA Effectiveness Awards for our work with Laithwaites.

Our independence means we can focus 100% on doing the right thing to secure success for our clients and our brilliant people. We work with a wide variety of clients including Hovis, Sharps Bedrooms, SunLife, Standard Life, Laithwaites Wine, EMMA Mattresses, Save the Children, Mind, Guide Dogs, , Alzheimer’s Society, RNLI and Clearscore.

YOUR NEXT CHALLENGE

Are you interested in learning and working in the world of data science with its application into the media advertising landscape?

Does the world of innovative digital marketing grab your attention? We are looking for a highly numerate undergraduate student currently studying a relevant degree in mathematics, statistics, economics or data science who would be interested in applying their statistical knowledge and helping some brilliant charities deliver donation growth.

As University Placement Data Scientist Student at [Employer hidden], you will join the rapidly developing data team, who are responsible for measurement solutions and modelling expertise. Whilst helping a diverse client-set understand the true value of their media investment. You will also create compelling data stories on how to drive growth, and automate the insights into the planning cycle through their advance and integrated tech stack.

We will help you apply your economics and statistical understanding into the media advertising landscape on practical real-world applications to showcase the value they can have in your career.

HOW YOU WILL MAKE AN IMPACT

  • Work closely with businesses to identify issues that can be resolved using data solutions effectively for decision making.
  • Statistical methods to solve complex problems and study business performance.
  • Studying market trend data to understand the resulting impact on individual businesses.
  • Support the account management and planning teams across all facets of campaign measurement across media channels.
  • Develop automated data processes using SQL.
  • Ability to organise a variety of large data sets.
  • Undertake regular analysis and reporting for retained clients.
  • Maintain clear and coherent communication, both verbal and written, to understand data needs and report results.
  • Working with the marketing effectiveness team and other senior business stakeholders to develop analytical propositions.
  • Applying and developing your data handling and analytical techniques to client projects including: multi-channel response attribution, retention/churn, customer lifetime value, customer engagement and segmentation.

WHAT YOU BRING TO THE TEAM

MUST HAVE SKILLS

  • Highly numerate undergraduate studying a relevant degree in mathematics, statistics, economics or data science.
  • Theoretical understanding of statistical techniques such as regression and developing confidence measures.
  • Pre-requisite skills: Strong Excel and MS Office usage.
  • Strong data manipulation skills and a keen eye for detail.
  • Good communication skills.

NICE TO HAVE SKILLS

  • Inquisitive analytical mind with a strong desire to find things out.
  • Pragmatic approach to problem solving.
  • Highly organised with strong attention to detail.
  • Confident and assertive in social environments.
  • Be a genuine team player whilst also being able to deliver on a task you are responsible for.
  • Good listener, articulate, persuasive, patient and resourceful.
  • Quick learner, pro-active mind set, resourceful, and able to think for self.
  • Logical thinker, with the entrepreneurial eye to identify opportunities.
  • Experience of coding in Python, R or SQL would be useful but not essential.
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