Design and implementation of machine learning models which personalise recommendations for users, whilst optimising for performance, engagement and conversion within gaming user acquisition.
Build and optimise our incentives reward structures focusing on motivating and retaining users whilst improving in-app ROAS.
Collaborate with data analytics and engineering to improve data structures, visibility, and traceability.
Establish technical best practices for the team, including documentation, data product ownership, measurement plans, and experimentation frameworks.
Define and help implement KPIs that align team output with business goals, ensuring every model, dashboard, and analysis has a clear purpose and outcome.
Mentor and support both data scientists and analytics engineers, driving high standards and helping the team scale effectively.

Strong experience building and deploying machine learning models in a product-driven environment, ideally in Gaming, AdTech, gambling or user-incentive systems.
Deep statistical and modelling knowledge for complex experimentation design, uplift modelling and causal impact estimation of counterfactual outcomes.
Strong understanding of data engineering workflows and modern data stack tools (e.g. DBT, Airflow, K8s).
Proficiency in Python and SQL; experience with cloud platforms (GCP preferred) and Terraform.
Excellent communication and leadership skills, with the ability to drive clarity, create structure, and bring stakeholders on board.

Generous bonus scheme to ensure great, proactive work is valued.
Participate in our virtual equity program, ensuring our success is shared collectively.
Fostering talent and providing opportunities for growth.

Data Scientist

Key skills