Senior Data Scientist

Formal Job Specification


We are recruiting for a Senior Data Scientist to work in the context of digital advertising and marketing.


We are investing in Data Solutions as a strategic priority. The team brings together a number of capabilities that sit within different parts of the business, into one unit that will drive cutting edge development in a number of critical areas for the business.


The role sits in the newly created Data Science & Tools team within this department, reporting to Head of Data Science & Tools. The team’s remit is to drive innovation & revenue in two ways: develop & deliver revenue-driving/client-facing data science solutions and internal tools used within the agency.


The right hire will share our values:

  • Passion: loving what you do and being driven to excel with each new project
  • Imagination: meeting challenges creatively and ready to try new ideas
  • Integrity: accountable and always excellent to one another

The purpose of the role is to provide senior programming & modelling support to the team in building production-level media effectiveness solutions, whilst leading & developing other data science solutions to inform e.g. content & creative planning. The successful candidate will also be expected to oversee projects delivered by contracted staff / freelancers to ensure work is delivered to brief and standard required.



Currently, a number of data science solutions are delivered on a project-by-project basis. There are new product ideas (primarily in effectiveness space) for which there is strong client interest.


The successful candidate will work closely with relevant members of the team (e.g. the effectiveness lead on effectiveness solutions), and supported by the wider team, to: 


Develop new solutions from scratch

  • This could be new project ideas that have been sold to clients (but have yet to be delivered), or even brand new territories that the company has yet to venture into
  • The successful candidate is expected to be able to solve the problem and develop the solution to client brief
  • If there is strong client interest, these new ideas would be implemented


Develop and implement solutions


For some of the existing solutions (or even project ideas that have been sold to clients) that we anticipate strong client interests, the successful candidate will work with the wider team to develop them, including: 

  • Enhancing the codebase in such a way that is easily reusable in future projects, with minimal level of human input required
  • Improving / innovating the modelling approach and / or codebase itself to enhance e.g. speed & quality & use of computation resources (so a more cost-effective codebase)
  • Embedding version-control, code review, documentation in the development process
  • Engineering the solution on GCP (with the support of Senior Data Engineer)
  • Supporting more junior members in the company / external resources to deliver the productionised solutions
  • Logging, debugging & maintenance
  • Driving development of new features/upgrades (if client interest continues to grow)
  • Provide consultancy to analysts and project teams on interpretation of results, modelling process and any limitations there might have to support reporting
  • Developing a basic front-end (either yourself or with support of front-end developers) if client interest is so strong that more junior members of Data Solutions team without programming knowledge are expected to deliver the solutions



  • Proficient (production-level) Python, and highly desirable: R
  • Data integration: working with APIs, databases/data warehousing, automated ETL
  • General programming: parallel programming, optimisation of code for speed and quality, handling large amount of data (e.g. GBs from a range of different data sources), and ideally unstructured data
  • ML algorithms/statistical models: 
    • Essential: econometrics (e.g. Regression, VAR), classification (e.g. Random Forest, XGBoost), clustering (e.g. k-means, knn), optimisation (e.g. Genetic Algorithm)
    • Desirable: NLP, CV
  • Desirable: web scraping, front-end development (e.g. a simple front-end for internal users using e.g. flask, streamlit, rshiny), advanced data visualisation, cloud computing (esp GCP)
  • Experiences of developing data science solutions to inform media & creative planning and effectiveness evaluation are highly desirable
  • Good communication skills and a team player, proactively contributing to a code review culture



On completion of the three month probation period every employee is eligible for the benefits listed on our careers site which include:

  • 25 days holiday a year
  • Annual performance bonus
  • Sale commission
  • Recruitment referrals bonus
  • Gym membership contributions
  • Ride to Work scheme
  • Rail card
  • Season Ticket loan
  • Free fruit, breakfast cereals and tea & coffee
  • Free home office chair and screen
  • Enhanced maternity and paternity package
  • Life and income protection
  • Medical cash plan
  • Share option scheme
  • Agile Working Policy


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