Lead Data Scientist Decision Science Machine Learning

🚀 Lead Data Scientist Opportunity | Remote (Contracted to Canary Wharf) | 12-Month Contract X2 Are you passionate about using advanced analytics, machine learning, and optimisation techniques to solve complex commercial challenges?
We're looking for an experienced Lead Data Scientist to take ownership of a cutting-edge customer decisioning and optimisation capability, driving measurable business impact through sophisticated modelling, experimentation, and production-grade machine learning solutions.
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.
📩 Interested? Apply now or send me a direct message for a confidential conversation.
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