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Temporary/Casual
Technology
Lead Data Scientist
Harnham - Data & Analytics RecruitmentLondon, UK🇬🇧United KingdomPosted 26 May 2026
Why This Role Stands Out
This Lead Data Scientist role offers a fantastic opportunity to drive impactful AI solutions for enterprise clients, with a competitive outside IR35 rate and hybrid flexibility. You'll thrive here if you possess strong Python/R skills and enjoy leading end-to-end model development and deployment in a client-facing capacity. Don't miss out on this chance to shape the future of customer engagement!
Quick Overview
Work Type
Hybrid
Schedule
Temporary/Casual
Level
Mid Senior
Job Description
Lead Data Scientist
England£450-£480 Outside IR35RemoteThe Company 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.The Role and Deliverables 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.Your Skills and Experience * 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.How to Apply If you are looking for a senior data science role where you can combine technical depth with real client impact, apply now to learn more.Skills
GCP
AWS
MLOps
Machine Learning
Azure
Python
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