101 to 125 of 149 Analytical Modelling Jobs in the UK

Senior Analytics Engineer you’ll be responsible for collaborating with Data Engineers, Data Analysts and Software Engineers to develop, maintain and refactor analytical data models within our data warehouse. In this role, you will be working as part of a product team and utilise strong technical and communication skills … considered for this role): You are proficient in transforming, testing, and documenting data while maintaining a robust data lineage. You are knowledgeable in data modelling, data access, and data storage techniques You have experience following software engineering best practices like version control and continuous integration You have strong proficiency ...

developing, validating, deploying and monitoring models in production. We are looking for someone with 3-5 years of commercial data science experience, combining strong analytical and modelling skills with practical experience of taking models beyond experimentation and into production. Experience developing scoring or predictive models, particularly using FMCG … performance. Evaluate and monitor model performance, identifying opportunities for improvement. Data Analysis & Scoring Explore large and complex datasets to identify patterns, opportunities and suitable modelling approaches. Develop scoring and predictive solutions such as propensity, classification, ranking, segmentation or behavioural models. Turn model outputs into actionable scores, insights or decision ...

quantitative skills to some of the biggest healthcare problems of the day. We use a wide variety of techniques within the operational research, mathematical modelling, statistical analysis, data science and machine learning toolkits, often working at the interface of academic research and practical application. No problem … managing others, and experience within the NHS or wider health field is not required. Of most importance is a good grasp of applied modelling approaches underpinned by degree-level qualification(s) in a quantitative discipline. Experience of coding in statistical languages, especially in 'R', is strongly desirable. The role ...

analyze, and model large volumes of structured and unstructured data from multiple sources. Use Python, SQL, Spark, and other relevant technologies to build scalable analytical and machine learning solutions. Develop features, datasets, and analytical approaches that support model development, experimentation, and evaluation. Partner with data and engineering teams … Product, AI/ML Engineering, Software Engineering, and other Data Science team members to translate customer and business problems into effective AI solutions. Communicate analytical findings, model performance, tradeoffs, and recommendations clearly to technical and non-technical stakeholders. Participate in technical and design reviews and help establish strong practices ...

stakeholders to identify opportunities where data and AI can drive value Lead technical workstreams across client engagements, from discovery through to implementation Translate complex analytical findings into clear and actionable recommendations Mentor colleagues and contribute to data science best practices across the wider team Stay current with developments … projects Your Skills & Experience Strong commercial experience in Data Science, Machine Learning, or Advanced Analytics Advanced Python skills and experience building end-to-end analytical solutions Experience taking models and analytical products from concept through to deployment Exposure to modern AI technologies, including LLMs and generative AI applications ...

Applied Data Science Partners seeks an Applied Physicist to drive advanced mathematical workstreams for UK Defence and Security programmes. You will translate requirements into analytical models, develop bespoke algorithms, and lead V&V to ensure mission-critical reliability. You will mentor junior analysts, collaborate with engineers to integrate kernels ...

deliver IT due diligence, data and AI consulting, and digitally enabled transformation for private equity and corporate clients. You will lead workstreams, build analytical models in Excel, and craft client-ready materials in PowerPoint and Word, partnering with cross-functional teams to drive measurable improvements in technology ...

events into predictive, prescriptive insights — enabling teams to act on what the product is telling us, not just what gets reported. You will own analytical models and frameworks connecting product behavior to business outcomes, partnering with Product, CS, and GTM to drive adoption, expansion, and renewal through #J ...

work in a collaborative environment alongside Commercial, Pricing, Data Science and Engineering, with the opportunity to experiment with new approaches, develop your analytical and commercial skills, and see your work translate into real-world outcomes for our customers and the business.What you’ll doAs an Analyst in the Price … will analyse competitor, customer, sales and pricing data to understand our competitive position, uncover trends and opportunities, and solve complex commercial problems. From developing analytical models that support smarter pricing decisions to measuring the impact of major price changes and value campaigns, your analysis will help us understand what ...

development, stored procedures, views and performance-aware query design. Experience designing and developing data warehouse models for reporting and analytics. Good understanding of dimensional modelling concepts, including facts, dimensions, grain, keys and relationships. Experience transforming, combining and reconciling data from multiple source systems. Ability to investigate complex or poorly … establish trusted business logic. Understanding of data quality, testing, documentation and maintainable engineering practices. Experience working with BI teams, reporting requirements and downstream analytical or semantic models. Ability to take ownership of work, manage priorities and deliver to agreed timescales. Clear communication skills, with the ability to explain technical ...

dynamic, innovative environment. You’ll partner with clients to understand their needs and develop impactful analytics solutions. You’ll translate business challenges into analytical problems, build models to solve them, and ensure they are evaluated with relevant metrics. Additionally, you’ll contribute to internal tools, participate … machine learning methods and experience applying them to complex, data‐rich environments Ability to prototype and deploy statistical and machine learning algorithms, and translate analytical outputs into data‐driven solutions Experience deploying ML/AI technologies into production or applied business environments is a plus While we advocate using ...

insight across the Audiences & Data function. Working closely with the Advanced Analytics Lead, this role supports the development and delivery of statistical analysis, analytical models and insight outputs that inform commercial decision-making.Your Role Accountabilities...Own the delivery of day‐to‐day analysis and insight, translating business questions into structured … analytical outputs.Analyse large, multi‐source datasets to identify trends, patterns and performance drivers.Support the execution of advanced analytical models (e.g. regression, segmentation, multivariate analysis) led by the Advanced Analytics Lead.Prepare, clean and validate datasets used in modelling work, proactively identifying data quality issues or inconsistencies.Build and maintain ...

sits at the intersection of data analytics, engineering and business strategy, supporting critical decision-making through the development of reliability dashboards, KPI frameworks and analytical insights. You will work closely with engineering and operational stakeholders to understand complex business challenges, challenge existing assumptions and deliver data-driven solutions that … stakeholder engagement skills and experience within aviation or other asset-intensive industries. Responsibilities As a Reliability Analytics Specialist, you will be responsible for delivering analytical solutions that provide actionable insight into aircraft reliability and operational efficiency. Key responsibilities include: Develop and maintain dashboards and reporting solutions that monitor aircraft ...

sits at the intersection of data analytics, engineering and business strategy, supporting critical decision-making through the development of reliability dashboards, KPI frameworks and analytical insights. You will work closely with engineering and operational stakeholders to understand complex business challenges, challenge existing assumptions and deliver data-driven solutions that … stakeholder engagement skills and experience within aviation or other asset-intensive industries. Responsibilities As a Reliability Analytics Specialist, you will be responsible for delivering analytical solutions that provide actionable insight into aircraft reliability and operational efficiency. Key responsibilities include: Develop and maintain dashboards and reporting solutions that monitor aircraft ...

performance, operational efficiency and business decision-making. Working closely with senior Claims stakeholders and wider Data and Technology teams, you will take ownership of analytical projects from initial investigation through to model development and implementation. This is a hands-on position where you will have the opportunity to shape … claim progression and resource planning. Work with structured and unstructured data, including claims records, handler notes, adjuster reports and correspondence. Build predictive models and analytical tools that support better decision-making across the claims lifecycle. Work closely with Claims, Underwriting, Actuarial, Portfolio Management and Technology teams to translate business ...

support a 6-month contract engagement based in London. This role is suited to someone with strong enterprise data architecture experience, deep data modelling capability, and a solid understanding of regulated, governed environments. About Optima Partners: Optima Partners is a challenger consultancy focused on AI-driven transformation, helping organisations … Duration: 6 months Clearance: Active SC clearance required Engagement: Contract Key experience required: Strong background in enterprise data architecture, information architecture, and data domain modelling Experience across conceptual, logical, and physical data modelling Ability to define canonical, domain, shared, reference, and analytical data models Good understanding ...

with AXIS’s business priorities, enterprise technology strategy and Data & Analytics operating model.Build reusable capabilities: Lead the design and development of shared AI services, analytical models, accelerators, agent frameworks, evaluation frameworks, experimentation environments and common solution components that can be adopted across multiple business-aligned solutions.Enable business-aligned delivery … generative AI, with the credibility to set technical direction, challenge design decisions and lead senior specialists.Insurance or financial services experience: Understanding of the data, analytical, regulatory and risk context of insurance or another highly regulated industry.Enterprise AI engineering: Strong understanding of how analytical models and AI services ...

Data Scientist to join an exciting financial services transformation programme in Manchester. This is an opportunity for someone who brings more than just technical modelling expertise. The role combines Data Science, advanced analytics and data visualisation, with a real focus on turning complex data into meaningful insights that influence … business decisions. You'll play an important part in developing data products, building engaging Power BI dashboards and taking analytical models from initial exploration through to production. Working closely with business stakeholders, you'll help ensure that data science solutions deliver tangible commercial value rather than simply sitting ...

capable of managing multiple projects from start to finish, working with varied sets of product & business partners. Their role is crucial in enhancing our analytical capabilities, output, and influence to inform the successful development, market launch, and operation of SIE products. Working alongside the existing team, their role will … relevant data paired with qualitative insightManaging analysis projects end-to-end, from initial briefing through to final delivery, follow-up, and impact assessmentDeveloping repeatable analytical workflows and models that combine and validate internal & external data, critically assess evidence, and size markets and opportunitiesManaging and developing intelligence assets, including sourcing ...

capable of managing multiple projects from start to finish, working with varied sets of product & business partners. Their role is crucial in enhancing our analytical capabilities, output, and influence to inform the successful development, market launch, and operation of SIE products. Working alongside the existing team, their role will … paired with qualitative insight Managing analysis projects end-to-end, from initial briefing through to final delivery, follow‐up, and impact assessment Developing repeatable analytical workflows and models that combine and validate internal & external data, critically assess evidence, and size markets and opportunities Managing and developing intelligence assets, including ...

inappropriate access, automated scraping and content extraction activities to ensure discoverability is achieved without undermining platform traffic, entitlements or commercial value.You will own the analytical foundations of both disciplines: identifying and measuring the signals that indicate successful discovery, as well as those that indicate abuse. Working closely with product … traffic, user engagement and commercial valueProvide recommendations to product and business stakeholders on how content should be surfaced, exposed and protected across external ecosystemsBuild analytical models to understand the relationship between discoverability, content consumption, platform traffic and downstream business outcomesContent Protection & Traffic IntelligenceAnalyse WAF, traffic and behavioural data, primarily ...

Analytics Office. Working across Sainsbury's and Argos, the team partners with colleagues across the business to identify opportunities, test ideas and develop analytical solutions that improve store processes, colleague experiences and the way we serve customers. More about the role As an Analyst, you will deliver analytics projects … problem through to insight and recommendation. You will work closely with stakeholders across Retail Transformation and the wider business, translating their challenges into clear analytical questions and using SQL and Python to explore large, complex datasets. Day to day, you could be combining data from different sources, applying exploratory ...

Role & Details Data Science Associate Manager (Customer) Team: Song AI & Data – AI & Modelling Craft, UK&I Location: London/Manchester Career Level: Associate Manager (L8) We Are Accenture Song accelerates growth and value for our clients through sustained customer relevance. Our capabilities span ideation to execution: growth, product … analytics, performance optimisation, and AI (including generative AI and agentic AI) transformation. You will join the Song AI & Data UK practice, within the AI & Modelling Craft: a community of data scientists, AI engineers, modellers and solution architects focused on applying AI, machine learning and advanced analytics to solve customer ...

machine learning, pattern recognition, and performance inference techniques to identify effective modeling approaches and improve model performance. Anticipate, investigate, and resolve data, modeling, and analytical issues by identifying root causes and recommending practical solutions. Create, review, and deliver formal presentations of analytical work, clearly communicating modeling results … insights, and recommendations to internal stakeholders and clients. Manage assigned analytical work streams across simultaneous projects, adjusting to changing priorities while consistently delivering high-quality work against client and internal deadlines. Communicate effectively with project teams and client stakeholders, including sharing progress, raising questions or risks early, and participating ...

working with GSK’s manufacturing sites. This is an individual contributor role for someone early- to mid-career who is hungry to do the analytical, hands‐on, and stakeholder‐facing work that makes AI engagements succeed: opportunity discovery, value sizing, scoping, hands‐on prototyping, delivery, and ongoing measurement. … delivery, and measurement. Works hands‐on with site stakeholders, iterating on data, model outputs, and workflows until solutions are fit for use. Builds the analytical artefacts (briefs, value models, scoping docs, early prototypes) the team relies on. Key Responsibilities Opportunity Identification & Value Sizing Run opportunity discovery with site ...