1 to 25 of 85 Analytical Modelling Jobs in the UK

engineering and ML techniques - especially in audience segmentation or personalisation. Clear and effective communication skills, with the ability to tailor insights for both technical and non-technical stakeholders. Strong analytical rigor in evaluating models, experiments and algorithmic changes using offline and online methods. Skilled at navigating ambiguity and turning complex, messy data into actionable insights. Proficiency in SQL and More ❯

techniques such as data models, data flows, report specifications, and wireframes. Partner with the Data Engineering and BI teams to define and implement robust data pipelines, reporting solutions, and analytical models that support strategic decision-making and operational efficiency. Analyse data, including identifying sources, assessing data quality, defining lineage, and ensuring adherence to data governance standards. Translate complex business More ❯

techniques such as data models, data flows, report specifications, and wireframes. Partner with the Data Engineering and BI teams to define and implement robust data pipelines, reporting solutions, and analytical models that support strategic decision-making and operational efficiency. Analyse data, including identifying sources, assessing data quality, defining lineage, and ensuring adherence to data governance standards. Translate complex business More ❯

techniques such as data models, data flows, report specifications, and wireframes. Partner with the Data Engineering and BI teams to define and implement robust data pipelines, reporting solutions, and analytical models that support strategic decision-making and operational efficiency. Analyse data, including identifying sources, assessing data quality, defining lineage, and ensuring adherence to data governance standards. Translate complex business More ❯

techniques such as data models, data flows, report specifications, and wireframes. Partner with the Data Engineering and BI teams to define and implement robust data pipelines, reporting solutions, and analytical models that support strategic decision-making and operational efficiency. Analyse data, including identifying sources, assessing data quality, defining lineage, and ensuring adherence to data governance standards. Translate complex business More ❯

techniques such as data models, data flows, report specifications, and wireframes. Partner with the Data Engineering and BI teams to define and implement robust data pipelines, reporting solutions, and analytical models that support strategic decision-making and operational efficiency. Analyse data, including identifying sources, assessing data quality, defining lineage, and ensuring adherence to data governance standards. Translate complex business More ❯

and with less environmental impact. .# Job Description # Key Responsibilities May Include: Collaborate with key stakeholders to identify business challenges, translating ambiguous problems into structured analyses using statistical modelling and machine learning algorithms. Lead the selection, validation, and optimization of models to discover meaningful patterns and insights, ensuring models remain relevant, reliable, and scalable. Drive continuous integration and … and resource allocation. Contribute to the creation of business cases by quantifying the impact of data science solutions on supply chain KPIs and financial outcomes. Focus on data science modelling in close collaboration with the Data Engineering team, which is responsible for data wrangling, clean-up, and transformation to provide high-quality data for analysis. Experience: Proven track record … the ability to apply data science methods to solve real-world business problems effectively. Strong foundational knowledge in mathematics and statistics, typically to at least MSc level, enabling rigorous analytical modelling. Demonstrated success driving cross-functional collaboration with product managers, engineers, and business stakeholders to deliver impactful, user-centric data products. Good presentation and communication skills, capable of translating More ❯

product innovation and marketing to clinical operations and customer experience. This role offers the chance to build data capabilities from the ground up, working across diverse datasets to develop analytical models, extract insights, and create actionable recommendations that enhance business performance and patient outcomes. About You You'll bring strong technical foundations and a strategic mindset, someone who enjoys More ❯

product innovation and marketing to clinical operations and customer experience. This role offers the chance to build data capabilities from the ground up, working across diverse datasets to develop analytical models, extract insights, and create actionable recommendations that enhance business performance and patient outcomes. About You You'll bring strong technical foundations and a strategic mindset, someone who enjoys More ❯

Key Responsibilities Architect decision platforms : Design, build, and implement technical architecture for end-to-end credit risk decisioning and affordability solutions. This includes integrating internal and external data sources, analytical models, and rule-based engines. Develop credit strategy : Translate business objectives and credit policy into technical requirements and system rules, defining risk appetite, decision flows, and application approval criteria. More ❯

end analytics platform, delivering intuitive, high-performance tools that empower users with real-time insights and advanced visualization capabilities. Collaborate with commercial teams to engineer and optimize processes and analytical models. Build and maintain Python-based services and APIs using modern frameworks and best practices. Develop solutions for data modeling, market analysis, and position management. Design cloud-native tools More ❯

end analytics platform, delivering intuitive, high-performance tools that empower users with real-time insights and advanced visualization capabilities. Collaborate with commercial teams to engineer and optimize processes and analytical models. Build and maintain Python-based services and APIs using modern frameworks and best practices. Develop solutions for data modeling, market analysis, and position management. Design cloud-native tools More ❯

performance Develop, implement, and maintain robust ELT pipelines consuming data from internal systems and external partners Partner with business stakeholders and customers to unlock data insights and build impactful analytical models Investigate and resolve system defects, respond to production incidents, and conduct thorough code reviews Provide technical leadership by staying current with emerging technologies and mentoring team members Technical More ❯

performance Develop, implement, and maintain robust ELT pipelines consuming data from internal systems and external partners Partner with business stakeholders and customers to unlock data insights and build impactful analytical models Investigate and resolve system defects, respond to production incidents, and conduct thorough code reviews Provide technical leadership by staying current with emerging technologies and mentoring team members Technical More ❯

Sponsor development of proprietary accelerators, GenAI offerings, and industry solutions Oversight across the entire UK data portfolio and team Translate business problems to analytics solutions with clear output. Translate analytical output to drive business decisions that create impact. Oversee project delivery required to meet client expectations. Responsibilities include overall project delivery quality, development of presentations, and management of external … team. Drive team growth and development for the members of the team. Foster and grow the data team's skillsets, culture and ways of working. Provide technical oversight of analytical approaches, code and model reviews, MLOps standards, data governance compliance, and help to unblock complex challenges Be able to technically manage projects Lead on proposals and RfP responses Lead … major contributors from irrelevant details quickly, and to structure information residing in the data under analysis hierarchically. Robust knowledge of statistical concepts, accompanied by expertise with a set of analytical tools ranging from databases (e.g. SQL, BigQuery, noSQL) to programming languages (e.g. R, Python, Spark), and from data visualisation (e.g. PowerBI, Tableau) to machine learning. Deep expertise in advanced More ❯

a scale-up within a global business. Role As a Lead Data Engineer , you'll take ownership of designing, maintaining, and evolving the data pipelines that power large-scale analytical and machine learning models. You'll work closely with Data Scientists, Analysts, and Software Engineers to deliver robust, scalable data infrastructure. The focus areas include building and optimising pipelines …/ELT pipelines in a cloud environment (AWS or Azure). Knowledge of data warehousing (e.g., Redshift, Postgres) and tools like DBT . Familiarity with CI/CD , data modelling, and Agile practices. Comfortable collaborating with Data Scientists and translating business needs into technical solutions. Experience leading or mentoring other engineers. Benefits Hybrid working from either London or Reading. More ❯

impact these ever-challenging areas during transformational and regulatory changes. Your key responsibilities Big Data Analysis: The capability to analyse large and complex datasets to extract actionable insights. Your analytical skills will be key in identifying trends, patterns, and anomalies that can inform business strategies. Statistical Modeling : The ability to applying statistical techniques to extract insights, build predictive models … functional teams to develop, test, and deploy advanced machine learning models, ensuring alignment with business objectives and seamless integration into client operations. Communication : The skill to effectively communicate complex analytical findings and model results to stakeholders, translating data-driven insights into business language that informs decision-making. Continuous Learning : The ability to stay informed of the latest advancements in More ❯

developing, and maintaining ETL processes Writing and optimising complex queries for data extraction and transformation Supporting BAU data operations and ensuring consistent data delivery Creating and managing reports Developing analytical models) Managing and troubleshooting database environments Ensuring data integrity, quality, and consistency across systems Collaborating with data architects, engineers, to meet operational goals Participating in continuous improvement initiatives and More ❯

integrate data from multiple sources, including third-party and open data. Provide story-driven insights and recommendations to support strategic decision-making. Support Proof of Concepts (POCs) and pilot analytical models, helping scale successful approaches. Evaluate competitor promotions and market changes to assess impact on market share. Contribute to regular market reporting to inform leadership on pricing dynamics and More ❯

culture. Key Responsibilities: Architect, maintain, and optimise BW’s Microsoft Fabric ecosystem, ensuring scalable, efficient data workflows across the business. Design and deliver insightful, interactive Power BI dashboards and analytical models to drive decision-making. Translate complex business requirements into reliable, well-documented data structures and reporting frameworks. Implement data governance and quality controls, ensuring accuracy, consistency, and compliance … and data lakehouse concepts. Strong working knowledge of Databricks, including Delta Lake and notebooks. Strong interpersonal skills with the ability to influence and communicate complex data topics clearly. Excellent analytical, organisational, and problem-solving abilities. Experience leading or mentoring technical peers. Bonus Skills and Experience: Proficiency in Microsoft SQL Server, including stored procedures, triggers, and performance tuning. Familiarity with More ❯

culture. Key Responsibilities: Architect, maintain, and optimise BW’s Microsoft Fabric ecosystem, ensuring scalable, efficient data workflows across the business. Design and deliver insightful, interactive Power BI dashboards and analytical models to drive decision-making. Translate complex business requirements into reliable, well-documented data structures and reporting frameworks. Implement data governance and quality controls, ensuring accuracy, consistency, and compliance … and data lakehouse concepts. Strong working knowledge of Databricks, including Delta Lake and notebooks. Strong interpersonal skills with the ability to influence and communicate complex data topics clearly. Excellent analytical, organisational, and problem-solving abilities. Experience leading or mentoring technical peers. Bonus Skills and Experience: Proficiency in Microsoft SQL Server, including stored procedures, triggers, and performance tuning. Familiarity with More ❯

culture. Key Responsibilities: Architect, maintain, and optimise BW’s Microsoft Fabric ecosystem, ensuring scalable, efficient data workflows across the business. Design and deliver insightful, interactive Power BI dashboards and analytical models to drive decision-making. Translate complex business requirements into reliable, well-documented data structures and reporting frameworks. Implement data governance and quality controls, ensuring accuracy, consistency, and compliance … and data lakehouse concepts. Strong working knowledge of Databricks, including Delta Lake and notebooks. Strong interpersonal skills with the ability to influence and communicate complex data topics clearly. Excellent analytical, organisational, and problem-solving abilities. Experience leading or mentoring technical peers. Bonus Skills and Experience: Proficiency in Microsoft SQL Server, including stored procedures, triggers, and performance tuning. Familiarity with More ❯

culture. Key Responsibilities: Architect, maintain, and optimise BW’s Microsoft Fabric ecosystem, ensuring scalable, efficient data workflows across the business. Design and deliver insightful, interactive Power BI dashboards and analytical models to drive decision-making. Translate complex business requirements into reliable, well-documented data structures and reporting frameworks. Implement data governance and quality controls, ensuring accuracy, consistency, and compliance … and data lakehouse concepts. Strong working knowledge of Databricks, including Delta Lake and notebooks. Strong interpersonal skills with the ability to influence and communicate complex data topics clearly. Excellent analytical, organisational, and problem-solving abilities. Experience leading or mentoring technical peers. Bonus Skills and Experience: Proficiency in Microsoft SQL Server, including stored procedures, triggers, and performance tuning. Familiarity with More ❯

culture. Key Responsibilities: Architect, maintain, and optimise BW’s Microsoft Fabric ecosystem, ensuring scalable, efficient data workflows across the business. Design and deliver insightful, interactive Power BI dashboards and analytical models to drive decision-making. Translate complex business requirements into reliable, well-documented data structures and reporting frameworks. Implement data governance and quality controls, ensuring accuracy, consistency, and compliance … and data lakehouse concepts. Strong working knowledge of Databricks, including Delta Lake and notebooks. Strong interpersonal skills with the ability to influence and communicate complex data topics clearly. Excellent analytical, organisational, and problem-solving abilities. Experience leading or mentoring technical peers. Bonus Skills and Experience: Proficiency in Microsoft SQL Server, including stored procedures, triggers, and performance tuning. Familiarity with More ❯

market with our offerings Knowledge and Experience • 3+ years of specific Pricing & Packaging experience in SaaS/PaaS for a software company, scale-up or consulting firm • Strong numerical, analytical and modeling skills, uncovering insights to drive measurable benefits • Good understanding of SaaS pricing & packaging theory whilst combining with real world implementable business outcomes • Interpersonal skills, able to work More ❯