Lead Data Scientist

You will take ownership of end-to-end data science delivery, from problem definition through to deployment in live environments.

• Design, build, and deploy machine learning models within Pega-based decisioning platforms.
• Lead model development across feature engineering, training, validation, and ongoing performance monitoring.
• Work closely with application and logic developers to embed models into operational decision workflows.
• Develop statistical and machine learning models for personalisation, propensity scoring, and next-best-action use cases.
• Design and run experiments, including A/B testing, to quantify business impact.
• Provide technical leadership and mentoring to other data scientists, while engaging confidently with client stakeholders.

• Strong experience delivering data science solutions in client-facing or consulting environments.
• Advanced capability in Python and or R, with hands-on use of modern machine learning libraries.
• Deep understanding of statistical modelling, experimentation, and model evaluation techniques.
• Experience deploying and operating models on cloud platforms such as AWS, GCP, or Azure.
• Proven ability to communicate complex technical concepts to non-technical audiences.
• Experience with Pega Customer Decision Hub and Adaptive Decision Manager in production environments is highly desirable.
• Exposure to real-time decisioning, customer engagement, or personalisation use cases is advantageous.
• Familiarity with MLOps practices and model monitoring frameworks is beneficial.

They are a specialist organisation working at the forefront of AI-driven customer engagement. Their focus is on enabling highly personalised, real-time decisions across digital channels using advanced analytics and machine learning. The business combines deep domain expertise with strong delivery capability, supporting enterprise clients across multiple sectors.