4 of 4 Contract Predictive Modelling Jobs in London

oversight, and setting technical standards - without formal line management responsibility. The role remains hands-on, focused on the design, build, validation, and deployment of predictive and risk models within a regulated environment. Role: Provide technical leadership and task oversight to a team of Data Scientists. Set coding standards, modelling best practice, and governance frameworks. Design, build, and deploy production-grade ML models (predictive & risk). Develop scalable ML pipelines in Python. Implement robust validation, monitoring, and performance frameworks. Translate business and risk requirements into advanced analytical solutions. Work closely with actuarial, risk, and engineering teams to operationalise ...

ingestion frameworks for integrating multiple source systems into the cloud data platform. Design and govern data transformation frameworks using DBT. Define and enforce data modelling standards including dimensional modelling, star schema, and enterprise data models. Lead architecture reviews and solution design discussions for new data initiatives. Optimize Snowflake … data governance frameworks including access control, data security, and compliance standards. Design and support AI/ML-ready data architecture for advanced analytics and predictive modelling. Provide architectural guidance to data engineering, BI, and analytics teams. Design architecture to support data consumption for reporting systems, operational applications, and analytics ...

Delivering advanced marketing performance analysis across multi-channel campaigns, including CPA, CAC, LTV, ROAS, and funnel conversion performance. Conducting audience segmentation, cohort analysis, and predictive modelling to support acquisition and retention strategies. Owning A/B testing and experimentation frameworks alongside product and growth teams. Building dashboards … Tableau, Power BI, or Looker Studio. Comfortable running experiments, analysing cohorts, and measuring campaign impact. Able to work end-to-end across data extraction, modelling, visualisation, and insight delivery. Strong communicator who can turn complex analysis into practical recommendations. Familiar with GDPR-aligned, privacy-first analytics environments. Apply ...

operations Applied ML Focus: Time-series, geospatial data, optimisation problems Complex Systems: High-volume, real-time operational data Autonomy: End-to-end ownership from modelling to deployment About the Role We are recruiting on behalf of a mobility technology business building intelligent fleet orchestration systems. This role suits … production systems. Youll join a small, high-calibre team solving complex logistics and optimisation challenges with meaningful real-world impact. Key Responsibilities Develop predictive models using time-series and geospatial datasets Design and iterate on demand forecasting models Support fleet positioning and operational planning initiatives Engineer features from large ...