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🚀 Internship

Junior Data Scientist & Analyst Placement

🚀 Placement Program


AI generated summary

  • Highly numerate undergraduate studying a relevant degree in mathematics, statistics, econometrics, or computer science. Strong Excel and MS Office usage. Experience in Python, R, or SQL coding. Theoretical understanding of statistical techniques. Data manipulation skills and attention to detail. Good communication and problem-solving skills.
  • The Junior Data Scientist & Analyst Placement at Medialab Group involves working closely with the business to identify data-driven solutions, using machine learning and statistical methods to solve complex problems, building algorithms and designing experiments to manage and extract data, supporting account management and planning teams, developing automated data processes, conducting regular analysis and reporting for clients, maintaining clear communication, and applying data handling and analytical techniques to client projects.

Placement Program



Rolling basis


  • As at Data Scientist at Medialab, you will join the rapidly developing data team, who are responsible for measurement solutions and modelling expertise help a diverse client-set understand the true value of their media investment, 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 are looking for inquisitive, articulate, numerate and above-all, enthusiastic placement students to support the wider team in delivering these critical insights and building on the capabilities of our product.
  • You will be part of a close-knit and friendly team who share results and celebrate success together.
  • Medialab is a media agency that’s made differently. We’re purpose-led, data-driven and proudly independent. Our independence means we can focus 100% on doing the right thing to secure success for our clients and our brilliant people. We are trusted to deliver that success for some of the UK’s most ambitious and complex organisations, including SunLife, Guide Dogs, RNLI, Laithwaites and National Trust.
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  • Highly numerate undergraduate studying a relevant degree in mathematics, statistics, econometrics or computer science
  • Pre-requisite skills: Strong Excel and MS Office usage
  • Experience of coding in Python, R or SQL
  • Experience of data visualisation tools like Tableau/Qlik/Power-BI/Google Data Studio would be useful but not essential
  • Theoretical understanding of statistical techniques such as regression and developing confidence measures.
  • Strong data manipulation skills and a keen eye for detail.
  • Good communication skills.
  • Desired Skill:
  • 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.
  • Positive attitude.
  • Logical thinker, with the entrepreneurial eye to identify opportunities.
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Education requirements

Currently Studying

Area of Responsibilities



  • Work closely with business to identify issues that can be resolved using data solutions effectively for decision making
  • Machine learning tools and statistical methods to solve complex problems
  • Build algorithms and design experiments to merge, manage, interrogate, and extract data to supply tailored reports to colleagues, clients and wider areas in company
  • Support the account management and planning teams across all facets of campaign measurement across media channels
  • Develop automated data processes using Python/R
  • 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 Datalab 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
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Work type

Full time

Work mode





  • 22 days holiday, increased to 25 days holiday after 3 years (excluding office closure between Christmas and New Year)
  • Extra day off on your birthday
  • Amazing long service rewards including a long weekend/week away at Medialab’s expense
  • Hybrid Working between office & home
  • Flexi-Time
  • Charity volunteering days (2 paid for days per year) and other charity initiatives with spot prizes
  • Free access to Health and Wellbeing Apps including Headspace, Bloom (CBT) & Blinkist
  • Confidential Employee Assistance Program with free professional counselling
  • Access to Mental Health Allies (1 in 10 employees are trained in Mental Health First Aid)
  • A whole host of wellbeing support, as part of our Commitment to Mind’s Mental Health at work standards
  • A diverse and inclusive culture where everyone has opportunities to engage in open and honest dialogue and hear from inspirational guest speakers though our regular ‘Together We Stand’ open forum
  • Quarterly reviews to enhance career progression
  • Continuous professional development and training - CPD Gold accreditation by the IPA
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Rolling basis