156 jobs for “Decision Scientist”
Harnham - Data and Analytics Recruitment London £70,000 – £90,000 pa
Owns pricing-focused data science, building predictive models of risk, customer behaviour and price sensitivity, and integrating new data sources to sharpen rates and tariffs. Uses simulation to estimate claim frequency and price responses, then translates findings into commercial recommendations for senior stakeholders. Hybrid role with at least one day a week in the London office.
Harnham - Data and Analytics Recruitment London £120,000 – £150,000 pa
Leads the integration of data science and analytics functions within a consumer business undergoing data transformation. Focuses on strategic direction, stakeholder influence, and delivery of measurable business impact through data-driven solutions. Redesigns reporting, drives self-serve analytics adoption, and scales a multidisciplinary team in a commercially driven environment.
Michael Page Leeds £40,000 – £48,000 pa
Analyse large datasets to uncover trends and build predictive models and algorithms that support strategic decisions in a financial services setting. Work within a collaborative analytics team, presenting findings to non-technical stakeholders and helping maintain data pipelines and infrastructure. Requires Python, R or SQL plus statistical and machine learning techniques, with GIS tooling also desirable.
Amazon London
Hands-on analysis and modelling of large multimodal datasets to measure and improve conversational shopping systems built on LLMs, information retrieval, recommender systems and knowledge graphs. Designs and analyses A/B tests, builds metrics and dashboards, and develops predictive models, working with scientists and engineers in a London team of around 150.
Amazon London
Hands-on data science role focused on Amazon's Rufus conversational shopping assistant, analysing multimodal datasets and building ML models for NLP, retrieval and recommender systems. Responsibilities span A/B test design, causal inference, metric and dashboard development, and translating insights into production systems with scientists and engineers.
Capital One Mansfield
Develops and maintains the statistical and machine learning models behind customer lending and underwriting decisions, using advanced feature generation and large-scale data manipulation. Consults on complex statistical test design and works cross-functionally with business partners, with a strong emphasis on Model Risk Management, validation and monitoring. Python coding and Open Banking or Credit Bureau data experience are central.
Capital One Nottingham
Develops and maintains the statistical and machine learning models behind customer lending and underwriting decisions, using advanced feature generation and large-scale data manipulation. Consults on statistical test design and works cross-functionally with business partners, with a strong emphasis on Model Risk Management, validation and monitoring.
Faculty London
Lead high-impact AI projects for retail and consumer clients, defining data science approaches, designing software architectures, and mentoring colleagues. Own the technical side of client relationships, scope projects, and embed responsible AI practices while building production-grade systems in Python.
Faculty London
Technical leadership role owning delivery of complex machine learning and Generative AI projects for financial services clients, while setting technical direction for the data science team. Involves mentoring, contributing to bids and scoping, and publishing thought leadership, with a focus on deep individual contribution and scalable Python codebases.
AI Security Institute London
Senior individual contributor building the shared platform, tooling and infrastructure for an interdisciplinary chem-bio research team. Work spans LLM-based agent systems, evaluation frameworks, cloud and container infrastructure, and production Python, translating varied research needs into maintainable systems while mentoring engineers without line management.
University of Exeter Exeter £21,805 pa
Develops a multiscale Scientific Machine Learning digital-twin framework to predict thermal trajectories, torque capability and efficiency in low-speed, high-torque electric propulsion under extreme duty cycles. Combines physics-informed hybrid architectures (DNNs, neural state-space models, Neural ODEs) with safety-constrained dynamometer experiments at the Centre for Future Clean Mobility, in collaboration with marine power-systems company Ecomar Innovations.
Isomorphic Labs London
Join the Computational Sciences team to design novel large-molecule therapeutics using a cutting-edge AI drug design engine. You'll develop machine learning methods to predict biologics properties from sequence, benchmark models, and analyse lab data to guide early discovery through candidate selection.
Isomorphic Labs London
Lead pharmacology and translational biology strategy for large molecule therapeutics, designing in vivo and in vitro studies and acting as Biology Lead on drug discovery projects. Coordinate internal workflows and external CROs to drive candidates toward go/no-go decisions, while feeding pharmacology data back into generative AI design loops.
dunnhumby London
Leads high-priority strategic projects and analytical work for Tesco Media, turning complex business questions into insights, recommendations and executable plans. Partners with the Strategy Director and cross-functional teams on growth, productivity, AI and automation, proposition development and operating-model evolution, from discovery through implementation.
dunnhumby London
Sits within the Insight Enablement function of the Tesco Insights team, shaping enablement strategy and transformation initiatives so client-facing teams can maximise the impact of products, tools and propositions. Defines frameworks, connects stakeholder needs with product developments, and champions adoption of AI and emerging technologies to improve efficiency and client outcomes.
