Data Scientist

🔒 Confidential Employer
Posted 8 May 2026
LOCATION
London
TYPE
Full-time
LEVEL
Mid-Senior level
CATEGORY
Data & Analytics
This employer holds a UK Home Office sponsor license — sponsorship for this specific role is at the employer’s discretion

SKILLS

Python SQL Pandas Numpy Scikit-learn Statistics Machine Learning Causal Inference

FULL DESCRIPTION

Data Scientist

[Employer hidden — sign up to reveal] is an award-winning technology company that powers the youth digital ecosystem, helping brands to meet their audience where they are.

London · Hybrid

What you'll do

  • Work with the product team, end users and engineers to identify and understand the problems we need to solve
  • Work with other experts to identify feasible solutions to those problems that meet business needs
  • Develop production ready models in areas such as: Optimising programmatic auction bids, Understanding the content where adverts are being served, Moderating content to ensure it is safe for kids and teens, Categorising content so we analyse it quantitatively and infer our audiences, Predicting what categories will improve advertising performance or brand lift, Identifying audience clusters from survey and performance data
  • Test and validate the models and monitor and maintain them once live

Who you are

Required:

  • Experienced with Python
  • SQL - and query optimisation
  • Data manipulation eg Pandas, Numpy
  • Quantitative degree or equivalent experience
  • Standard ML algorithms eg Scikit-learn
  • Statistics
  • Curiosity

Nice to haves:

  • Strong pure mathematics
  • Bayesian modeling
  • Causal inference
  • Post graduate degree
  • Interests in behaviour, psychology or advertising
  • Experience in adtech, martech, marketing or advertising
  • Experience with survey data or brand lift studies
  • Experience building models for internal or business facing products
  • Able to communicate what you are doing to a wide audience
  • Full ML model lifecycle experience
  • Programmatic use of LLMs
  • LLM fine tuning
  • Working with big data tools eg pySpark or similar
  • Github or similar version control
  • Jira or similar workflow management
  • Using Cloud platform ideally AWS
  • Clean modular code with tests
  • APIs eg FastAPI
  • MLOps experience

Our benefits

  • 25 days holiday + 8 public holidays + Winter Break
  • Enhanced Company Maternity Pay up to 100% of salary for the first 26 weeks. Enhanced Company Paternity Pay of 100% of salary for 6 weeks.
  • 30 day sabbatical for employees who have reached 7 years tenure
  • AXA Private Medical Insurance MHD (medical history disregarded - existing illnesses covered). Also includes an EAP
  • Health Cash Plan to include PMI excess cover along with other benefits like physio, dental, vision etc.
  • Life Assurance - 4x salary
  • Income Protection - 8 week deferred period and 75% of your salary up to two years.
  • Pension through Aegon with 4% employer contribution.
  • Cycle to Work & Tech Scheme

Locations: London

Remote status: Hybrid

About [Employer hidden — sign up to reveal]

Our award-winning technology enables the youth digital media ecosystem. Used by hundreds of brands and content owners, [Employer hidden — sign up to reveal]’s technology provides the tools for safe digital engagement with almost half a billion kids and teens every month.

We work with a huge variety of top brands and content owners including Warner Bros, EA, Hasbro, Nike and Netflix.

Founded in 2013

Co-workers 120

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