Data Science & AI
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Senior Data Scientist
Lead advanced analytics and machine-learning workstreams from problem framing through evaluation, production integration and model governance.
LocationLondon, UK
Working styleHybrid / client-aligned
Employment typeFull-time
Experience6–10 years
Job description
The Senior Data Scientist will lead technically demanding modelling initiatives and establish rigorous evaluation, governance and handover practices.
The role requires the ability to connect statistical methods and machine learning to business decisions, production constraints and accountable operating processes.
Key responsibilities
- Lead model design, feature strategy, experimentation and evaluation for complex use cases.
- Set standards for reproducibility, explainability, monitoring and model-risk documentation.
- Review analytical methods and mentor data scientists and analysts.
- Partner with engineering teams on deployment architecture, serving patterns and operational controls.
- Communicate model trade-offs, uncertainty and business implications to senior stakeholders.
Qualifications
- 6–10 years of professional data-science, machine-learning or advanced statistical-modelling experience.
- Advanced Python and strong statistical foundations.
- Experience leading end-to-end model development from discovery through productionisation.
- Strong understanding of evaluation design, model monitoring and governance.
Preferred qualifications
- Experience with deep learning, NLP, forecasting or optimisation in production.
- MLOps experience using MLflow, Databricks, Azure ML, SageMaker or equivalent.
- Experience in regulated or decision-critical use cases.
Benefits & employment terms
- Compensation, leave, pension and any role-specific benefits are confirmed during the recruitment process and stated in the written offer.
- Any client-site, travel, security-screening or right-to-work requirements are confirmed before appointment.
Nature of working style
- The role combines hands-on modelling with technical leadership, review and stakeholder engagement.
- Senior data scientists are expected to make uncertainty, assumptions and model limitations explicit.
Location
London-based hybrid role with client-facing workshops and technical reviews as required.