Senior Data Scientist

A collaborative data scientist, keen to use their problem-solving skills and experience with Big Data to enhance the player experience.

About us

Future Anthem is the market leader in Game Data Science, using machine learning to provide Data Products in 3 core areas:

• Personalisation (recommendation engines, real time churn, real time experience)
• Safer Gambling (modelling potential player risk, real time intervention)
• Data Driven Design (recommended product design based on prior data and behaviours)

Truly Big Data – over 200 billion player transactions so far

Best in Class Tech – Databricks, Kafka, Delta Lake, Cloud Native (Azure)

True Data Science – Product development pods delivering data products through a devops process adapted for data science {IDE driven, CI/CD, unit tests, guardrails}

We offer a positive and flexible working culture, and the opportunity for fast progress in a growing scale up business.

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About the Role

This is an exciting opportunity to join our growing data science team in a business which is disrupting the industry.  In this role you will act as a day-to-day tech lead, working hands-on as well as providing technical oversight to others.

What You’ll Do 

  • Develop a range of machine learning models via the full lifecycle process (business understanding, feature engineering, prototyping, training, evaluation)
  • Work with the engineering team to deploy accepted models
    Create presentations which tell the story of these models, utilising visualisations
  • Work collaboratively with the engineering, platform, product and wider business teams
  • Work within a DataOps framework
    Review and feedback on technical approaches from other data scientists in your pod
  • Provide technical advice on potential approaches within grooming/sprint planning sessions
  • Line manages other data scientists

About You 

  • You are comfortable working with a degree of ambiguity and can demonstrate the ability to change and adapt as our business scales
  • You have a degree in mathematics, statistics, computer science, engineering or similar (Masters or PHD an advantage)
  • You have a strong understanding of supervised and unsupervised learning
  • Strong experience in developing ML models in a fully Spark environment
  • Highly proficient in PySpark
  • Understanding of CI/CD and Software Engineering principles for Data Science
  • Experienced in using version control software (e.g. Git, Azure DevOps etc.)
  • Experience in IDE based (as opposed to notebook based) development is an advantage
  • You are structured in code development and annotation, ensuring usability for others
  • You have sound interpersonal skills and enjoy collaborating with others
  • You have excellent verbal & written communication and presentation skills, with well-structured and analytical approach
  • You are highly commercially aware, particularly in prioritising time


Location: London, typically 2/3 days per week in office

Type: Permanent/ FTE

Hours: 9 am – 6pm Monday – Friday with one hour for lunch (40 hours per week)

Join the team