What You'll Be Doing
- Leading the development of Best Next Action (BNA) decisioning models
- Building and deploying causal inference and uplift modelling solutions
- Designing recommendation engines and offer optimisation frameworks
- Developing experimentation and measurement methodologies
- Delivering budget-constrained decisioning and commercial optimisation models
- Driving model productionisation, monitoring, governance, and operational excellence
- Collaborating with stakeholders across Data Science, CRM, Marketing, and Engineering teams
What We're Looking For
Essential Skills:
Advanced Python for machine learning and production data science
Strong SQL across large-scale customer, campaign, transaction, and performance datasets
Extensive Databricks experience including Workflows, Delta Tables, Unity Catalog, Model Registry, and production scoring
Git and Azure DevOps experience including branching, code reviews, testing, and deployments
Strong understanding of production ML practices, monitoring, validation, versioning, and operational handover
Experience with causal modelling, uplift modelling, experimentation, and optimisation
Desirable Skills:
MLflow and Databricks Asset Bundles
Databricks Apps, Streamlit, Dash, or React
Salesforce Marketing Cloud (SFMC) or Comarch
Marketing Mix Modelling
Recommender Systems
Operations Research and Optimisation
Contract Details
Remote (Contracted to Canary Wharf)
ASAP Start
12-Month Contract
40 Hours per Week
Candidate must provide their own laptop
This is an excellent opportunity to work on high-profile data science initiatives where your work will directly influence customer strategy, campaign performance, and commercial outcomes.