Data Scientist

• Provide strategic technical leadership across the Digital & AI capability
• Shape the architecture vision for scalable, secure, reusable Data & AI solutions aligned with business strategy, governance requirements and client expectations
• Work closely with senior stakeholders to shape technology direction and provide architecture assurance
• Develop reference architectures, standards and technical guardrails for enterprise data platforms, analytics, automation and GenAI solutions
• Define and own strategic Data & AI architectures across complex organisations
• Manage development of enterprise data platforms, analytics, automation and Generative AI solutions
• Act as design authority for significant digital programmes and products
• Establish architecture standards, reference architectures, governance processes and reusable technical patterns
• Manage technical risk and make architectural decisions balancing innovation, security, maintainability and long-term value
• Provide strategic direction on data governance, security, sovereignty, integration and model lifecycle management
• Advise senior stakeholders on technology strategy, delivery approaches and investment decisions
• Improve consistency and reuse across Digital & AI products, platforms and delivery teams
• Mentor architects, engineers and technical leaders
• Support adoption of emerging technologies with robust governance and assurance
• Deliver solutions for clients and the wider business in complex and highly regulated environments

Lead Data & AI Architect shaping secure analytics and GenAI solutions for Frazer-Nash Consultancy clients

Lead Data – AI Architect

Lead Data & AI Architect shaping secure enterprise data, analytics, automation and GenAI solutions. Providing architecture governance and technical leadership for Frazer-Nash Consultancy’s regulated-sector clients.

• Develop and maintain data-driven solutions that improve business decision making
• Participate in the full analytics lifecycle, including data acquisition, exploratory analysis, model development, deployment support, monitoring, and communication of results
• Collaborate with the Managing Data Scientist, team members, cross-functional partners, and business stakeholders
• Apply statistical, machine learning, and emerging AI techniques to solve business problems
• Improve decision making through analytics, machine learning, and AI-driven solutions
• Plan projects, break work into manageable tasks, and deliver against established timelines
• Explore, prepare, and analyze data sources to support modeling and business insights
• Contribute to development, testing, deployment, and monitoring of ML and AI solutions
• Evaluate, communicate, and document modeling approaches, results, assumptions, and recommendations for technical and non-technical audiences
• Leverage modern development tools, including AI-assisted coding solutions, to improve productivity and code quality
• Research and experiment with analytical methods, data sources, and technologies
• Participate in code reviews, knowledge sharing, and adoption of team best practices

Data Scientist Consultant II developing AI and machine-learning solutions for Allstate insurance

Data Scientist Consultant II

Data Scientist Consultant II developing data-driven AI and machine-learning solutions for Allstate’s insurance business. Applying Python, statistics, and analytics across the full model lifecycle in Belfast’s hybrid team.

• Run credit and customer lifetime value modelling projects alongside the Credit Risk Modelling team
• Keep production models healthy
• Develop models incrementally
• Conduct research that reshapes how credit and customer lifetime value models work
• Model how offer amount, duration, and price shape customer outcomes through causal estimation
• Work on a multi-stage IFRS accounting credit model that propagates later-stage recovery predictions into upfront loss estimates
• Explore whether a generalised framing could replace separate credit and customer lifetime value models
• Support fully automated and human-in-the-loop lending decisions
• Interface with and support smaller analytic functions across the business

Data Scientist modelling credit risk for iwoca’s flexible SME lending business

Data Scientist – Credit Risk Modelling

Data Scientist modelling credit risk and customer lifetime value for iwoca’s SME lending business. Developing production models and researching new approaches to automated lending decisions.

• Own credit and Customer Lifetime Value modelling projects end to end
• Identify where the modelling stack is holding the business back
• Frame modelling opportunities and select appropriate methods
• Keep production models healthy through monitoring and maintenance
• Deliver incremental model development and research that reshapes model approaches
• Set technical direction on multi-quarter projects
• Develop principled approaches to unify auto and manual credit models
• Contribute to the IFRS accounting model and multi-stage credit modelling
• Investigate generalised approaches that could replace separate credit and CLtV models
• Land commercial impact and communicate technical decisions
• Collaborate with a team of approximately twelve data scientists

Senior Data Scientist modelling credit risk for iwoca’s SME finance platform

Senior Data Scientist – Credit Risk Modelling

Senior Data Scientist owning credit risk and customer lifetime value modelling. Shaping machine-learning decisions for iwoca’s flexible SME lending platform.

• Lead identification, evaluation, and acquisition of external data sources for phone intelligence and mobile identity solutions
• Identify market opportunities and data partnerships that strengthen product differentiation and long-term growth
• Build and manage data supplier relationships throughout the acquisition lifecycle
• Partner with product, analytics, legal, compliance, finance, and technology teams
• Drive supplier due diligence, data evaluations, and onboarding activities
• Negotiate commercial terms and support contract development with legal and business stakeholders
• Oversee transition of new data assets from evaluation through implementation and operational handoff
• Monitor supplier performance and manage ongoing governance, issues, renewals, and contract-related decisions
• Develop business cases, recommendations, and status updates for prioritization and executive decision-making
• Ensure acquisition activities align with internal policies, risk standards, and regulatory requirements

Senior Manager acquiring mobile identity data for LexisNexis Risk Solutions’ fraud and risk products

Senior Manager, Data Acquisition

Senior Manager acquiring mobile identity and phone intelligence data for LexisNexis Risk Solutions. Managing global suppliers, partnerships, governance, and commercial negotiations.

• Lead identification, evaluation, and acquisition of external data sources for phone intelligence and mobile identity solutions
• Identify market opportunities and data partnerships that strengthen product differentiation and growth
• Build and manage data supplier relationships throughout the acquisition lifecycle
• Partner with product, analytics, legal, compliance, finance, and technology teams
• Drive supplier due diligence, data evaluations, and onboarding activities
• Negotiate commercial terms and support contract development with legal and business stakeholders
• Oversee transition of new data assets from evaluation through implementation and operational handoff
• Monitor supplier performance and manage governance, issues, renewals, and contract-related decisions
• Develop business cases, recommendations, and status updates for prioritization and executive decision-making
• Ensure acquisition activities align with internal policies, risk standards, and regulatory requirements

Senior Manager acquiring mobile identity data for LexisNexis Risk Solutions

Senior Manager acquiring mobile identity and phone intelligence data for LexisNexis Risk Solutions. Managing suppliers, contracts, governance, and global data partnerships.

• Lead housing and delegate management across events
• Manage end-to-end registration for high-volume in-person, hybrid, and virtual events
• Develop, test, and deliver event communications
• Manage databases, including data entry, list generation, and analysis
• Serve as the primary contact for attendee and client registration inquiries within agreed SLAs
• Establish program communications, reporting, operating processes, deadlines, escalation paths, and onsite approaches
• Maintain documented process trails and compliance with client/internal systems
• Resolve complex exceptions and provide onsite leadership for priority programs
• Review reporting and analysis and provide recommendations to stakeholders
• Handle confidential invitee data and personally identifiable information in accordance with compliance guidelines
• Coordinate attendee logistics including transportation, accommodations, gift sizing, and other data points
• Oversee rooming lists, hotel submissions, pickup monitoring, reservations, VIP requirements, billing instructions, and reconciliation
• Lead strategy and delivery for complex, high-profile, multi-hotel, and concurrent programs
• Resolve complex hotel, delegate, capacity, service, and data issues independently
• Assess operational, room-block, attrition, service, and financial exposure and recommend mitigation strategies
• Review contractual arrangements and advise clients and internal teams
• Print event materials including name badges, tent cards, place cards, departure notices, confirmations, agendas, and signage
• Pack, order, and ship event supplies; maintain shipping grids and track deliveries
• Support event project managers with logistics, production, and onsite execution
• Manage post-event attendee reporting
• Mentor and train Coordinators, Associates, and new joiners

Attendee Data Manager delivering housing, registration, and delegate logistics for global brand events

Housing & Delegate Management, Attendee Data Manager

Attendee Data Manager leading housing, registration, and delegate logistics for FIRST, a global brand experience agency. Managing event data, hotel programs, reporting, and onsite execution.

• Build, optimise, and deploy models that operate reliably at scale
• Develop a deep understanding of energy markets, grid dynamics, and trading strategies
• Own the full lifecycle of work, from research and prototyping through to production
• Write clean, production-quality code and contribute to robust, scalable systems
• Turn ideas into real-world, productionised solutions
• Work as full-stack data scientists in a small, fast-moving team

Data Scientist building production models for Axle Energy’s decarbonised energy infrastructure

Data Scientist building scalable production models for Axle Energy’s decarbonised energy infrastructure. Applying data science to energy markets, grid dynamics, and trading strategies.

• Design and implement robust time series models for forecasting, anomaly detection, and predictive maintenance
• Collaborate with product and engineering teams to integrate predictive models into live quantum sensors
• Evaluate performance of deployed models and develop tools/pipelines to continuously refine them
• Analyse large-scale sensor and telemetry data from quantum sensor systems
• Effectively manage technical priorities, meet deadlines, and deliver on project objectives

Data Scientist developing time-series models for Infleqtion’s quantum sensors

Data Scientist developing predictive time-series and control models for Infleqtion’s quantum sensors. Integrating machine-learning systems with product and engineering teams.

• Develop best-in-class machine learning models to predict claims outcomes, fraud, and other risk KPIs
• Develop novel features from raw telematics data
• Collaborate with ML Engineers to deploy machine learning models
• Monitor deployed models and link performance to commercial and customer outcomes
• Present work to Operational and Commercial stakeholders
• Explore new technologies and contribute to team best practices
• Turn telematics data into underwriting advantage and improve risk selection at quote and in-life stages
• Work within the Telematics Data Value team of data scientists, analysts, and engineers

Senior Data Scientist building telematics ML models for Hastings Direct, a UK digital insurance provider

Senior Data Scientist – Telematics

Senior Data Scientist developing telematics features and predictive models for Hastings Direct, a UK digital insurance provider.
Improving underwriting, claims, fraud detection, and risk selection through cloud-based machine learning.

• Develop and deploy machine-learning models in production environments
• Work end-to-end across the data science lifecycle: problem definition, modelling, deployment and monitoring
• Analyse new and existing data sources to improve decision-making and model performance
• Design feedback loops that continuously improve outcomes and data quality
• Collaborate closely with engineers to deliver scalable, reliable model predictions
• Communicate technical insights clearly to non-technical stakeholders
• Partner with engineering, operational and commercial teams to take ideas from hypothesis through deployment
• Ensure models deliver real value once live

Senior Data Scientist developing Consumer Twins models for Kantar’s data and insights platform

Senior Data Scientist – Consumer Twins

Senior Data Scientist developing and deploying machine-learning models for Kantar’s Consumer Twins AI platform. Improving large-scale consumer data systems through analytics, feedback loops and cloud tooling.

• Lead data integration workstreams or full integration project components
• Define delivery approaches, plans, milestones, technical assurance and governance
• Lead the design, build, testing and deployment of integrations across programmes
• Manage dependencies between source and target systems, data flows, interfaces and wider programme delivery
• Manage technical risks, dependencies and priorities across complex integration landscapes
• Define integration architecture, patterns, standards and reusable components
• Design and build integrations using Azure Integration Services, including Azure Service Bus, APIs and related Azure services
• Develop integration services and automation using Python and .NET
• Provide expert input on data contracts, message design, error handling, observability, security and technical trade-offs
• Own relationships up to Head of Service / senior manager level
• Lead workshops, design sessions and decision forums
• Provide clear recommendations and challenge constructively
• Translate technical concepts into clear business language
• Coach and mentor Consultants and Analysts
• Review and assure deliverables
• Set standards for integration documentation, code quality, technical assurance and delivery outputs
• Oversee RAID management and reporting
• Ensure alignment with programme governance and delivery frameworks
• Lead integration testing, deployment, cutover planning, monitoring and go-live activity
• Contribute to proposals, bids and estimates
• Shape delivery approaches and resourcing plans
• Identify follow-on opportunities with partners
• Support account development
• Contribute to integration methodologies, engineering standards, reusable assets and propositions
• Support knowledge sharing, capability development and thought leadership

Data Integration Lead delivering Azure integrations for UK higher education transformation consultancy

Data Integration Lead

Data Integration Lead delivering secure Azure, Python and .NET integrations for PACT Solutions, a higher education transformation consultancy. Leading workstreams, architecture, engineering and stakeholder delivery.

• Provide independent second-line supervision and critical review of data-related risks across business areas, pivotal initiatives and transformation programmes
• Assess data risk governance, controls and frameworks against risk appetite, regulatory expectations and the Group Risk Management Framework
• Provide evidence-based risk opinions and recommendations supporting risk decisions, remediation and investment outcomes
• Monitor the data risk landscape and identify emerging risks, control weaknesses, systemic themes and technology-related risks
• Analyse risk indicators, incidents, assurance findings and management information to provide data-driven insight and challenge
• Evolve risk reporting, metrics and oversight approaches to improve risk visibility and support timely management action
• Provide oversight and challenge across major change programmes, regulatory developments and new technologies including AI and cloud
• Contribute to continuous improvement of the Group's data risk framework, appetite and oversight approach
• Build trusted relationships with senior stakeholders across the three lines of defence
• Provide expert guidance on complex data risk issues and assess how technology, operating models and data capabilities influence risk exposure

Senior Data & Privacy Risk Manager overseeing data risk for Lloyds Banking Group’s UK financial services

Senior Manager, Data & Privacy Risk Specialist

Senior Data & Privacy Risk Manager overseeing data governance, privacy and technology risks for Lloyds Banking Group. Providing second-line challenge across AI, cloud and transformation programmes.

• Build out and lead the data function
• Set, own, and report against the data strategy
• Define the data roadmap at Legl
• Enable data-first decision making across teams
• Align Data’s resourcing with business needs
• Own internal tools that relate to data
• Assess and iterate the Data stack

Head of Data leading the data function at Legl

Head of Data

Head of Data at Legl, building the data function for modern legal services. Leading data strategy and decision-making in a growth-stage company with a focus on AI.

• Own the integrated forecast end to end.
• Build the hardest models in the area.
• Set the methodology and validation standards for Demand Forecasting.
• Raise the technical bar.
• Define the forecast's interfaces.
• Learn the operational processes your models serve.
• Own production quality across the estate.
• Work with Finance to keep the handoff between operational and financial models reliable.
• Quantify the impact of model error on cost per parcel.

Staff Data Scientist leading Demand Forecasting at Relay.

Staff Data Scientist – Network

Staff Data Scientist responsible for Demand Forecasting at Relay. Leading model development and integration to optimize logistics operations.

• Lead data management for complex, global clinical trials from study setup to database lock
• Serve as the main client contact for all data management deliverables
• Oversee SAE, PK, and external data reconciliation and database deployment
• Manage timelines, budgets, and resource allocation to meet customer expectations
• Mentor junior data management staff and promote best practices
• Drive process improvements and ensure regulatory and SOP compliance

Lead Data Manager overseeing global clinical trials for healthcare innovations

Data Team Lead

Lead Data Manager position managing clinical data for global trials in healthcare. Collaborate with teams to ensure data accuracy and compliance while mentoring junior staff.

• Identification, collection, extraction of data from various sources
• Performing data cleaning, wrangling, and transformation
• Development and maintenance of efficient data pipelines
• Design and conduct statistical and machine learning models
• Collaborate with business stakeholders to seek opportunities to add value from data

Senior Data Scientist using data analytics and machine learning at Barclays

Senior Data Scientist – Wealth Management

Senior Data Scientist at Barclays leveraging data analytics and machine learning. Improving operational efficiency and driving innovation in Wealth Management.

• Develop best in-class ML models to predict claims outcomes, fraud and other risk KPIs
• Work with ML Engineers to deploy ML models
• Monitor deployed ML models and link performance to commercial value KPIs
• Present your work to Operational and Commercial stakeholders
• Explore new technologies and contribute to setting team’s best practices.

Data Scientist developing ML models for fraud detection at Hastings Direct

Data Scientist – Fraud

Data Scientist developing ML models to predict claims outcomes and fraud at Hastings Direct. Collaborating with ML Engineers and stakeholders to drive innovative pricing strategies.

• Use innovative data analytics and machine learning techniques to extract valuable insights
• Collaborate with business stakeholders to seek out opportunities to add value from data through Data Science
• Development and maintenance of efficient data pipelines for automated data acquisition and processing
• Design and conduct statistical and machine learning models

Data Science Manager leading a team at Tesco Bank

Data Science Manager

Data Science Manager at Tesco Bank responsible for leading a team and using data analytics to drive strategic decisions. Collaborating with stakeholders to enhance data science capabilities and operational efficiency.

• Use innovative data analytics and machine learning techniques to extract valuable insights from the bank's data reserves
• Identification, collection, extraction of data from various sources, including internal and external sources
• Performing data cleaning, wrangling, and transformation to ensure its quality and suitability for analysis
• Development and maintenance of efficient data pipelines for automated data acquisition and processing
• Design and conduct statistical and machine learning models to analyse patterns, trends, and relationships in the data
• Development and implementation of predictive models to forecast future outcomes and identify potential risks and opportunities
• Collaborate with business stakeholders to seek out opportunities to add value from data through Data Science

Data Science Lead managing and developing data science strategies and teams

Lead Data Scientist

Data Science Lead at Barclays shaping AI and Data Science strategies while leading a high-performing team. Utilizing advanced analytics and machine learning to drive business outcomes.

Data Scientist jobs in United Kingdom

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Lead Data – AI Architect

Data Scientist Consultant II

Data Scientist – Credit Risk Modelling

Senior Data Scientist – Credit Risk Modelling

Senior Manager, Data Acquisition

Senior Manager, Data Acquisition

Housing & Delegate Management, Attendee Data Manager

Data Scientist

Data Scientist

Senior Data Scientist – Telematics

Senior Data Scientist – Consumer Twins

Data Integration Lead

Senior Manager, Data & Privacy Risk Specialist

Head of Data

Staff Data Scientist – Network

Data Team Lead

Senior Data Scientist – Wealth Management

Data Scientist – Fraud

Data Science Manager

Lead Data Scientist