1 to 25 of 49 Analytical Modelling Jobs in the UK excluding London

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 ❯

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 ❯

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 ❯

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 ❯

Skills and Experience Proven experience in data science and analytics, ideally within government or regulated sectors. Strong proficiency in Python (and/or R) with deep understanding of statistical modelling and machine learning. Experience with Azure Machine Learning (AML), Azure Data Factory, and the broader Azure data ecosystem (Data Lake, Synapse, Analysis Services). Expertise in Natural Language Processing … and Analysts to build and optimise data workflows. Integrate multiple data sources, ensuring data quality, consistency and alignment with government standards. Support the design, validation, and continuous improvement of analytical models, contributing to long-term data strategy. Applications: Please call Edward here at ISR on 07436 071 872 to learn more about our client and how they are leading More ❯

Identify opportunities to improve performance, automate processes, and enhance data quality and reliability. Core Skills & Competencies Collaborative mindset: Works well with teams, communicates openly, and fosters a positive culture. Analytical thinking: Structured, detail-oriented, and curious; focused on accuracy and performance. Problem-solving: Able to trace issues across multiple systems and deliver elegant, lasting solutions. Communication: Able to explain … complex technical concepts clearly to technical and non-technical stakeholders. Required Skills & Experience Data warehousing: Understand differences between application databases and analytical warehouses; design models for both. Python: Strong expertise; C# experience is a plus. SQL: Comfortable with complex queries and query tuning on relational and analytical databases (e.g., PostgreSQL, ClickHouse). Containers: Experience building, running, and deploying More ❯

Identify opportunities to improve performance, automate processes, and enhance data quality and reliability. Core Skills & Competencies Collaborative mindset: Works well with teams, communicates openly, and fosters a positive culture. Analytical thinking: Structured, detail-oriented, and curious; focused on accuracy and performance. Problem-solving: Able to trace issues across multiple systems and deliver elegant, lasting solutions. Communication: Able to explain … complex technical concepts clearly to technical and non-technical stakeholders. Required Skills & Experience Data warehousing: Understand differences between application databases and analytical warehouses; design models for both. Python: Strong expertise; C# experience is a plus. SQL: Comfortable with complex queries and query tuning on relational and analytical databases (e.g., PostgreSQL, ClickHouse). Containers: Experience building, running, and deploying More ❯

Identify opportunities to improve performance, automate processes, and enhance data quality and reliability. Core Skills & Competencies Collaborative mindset: Works well with teams, communicates openly, and fosters a positive culture. Analytical thinking: Structured, detail-oriented, and curious; focused on accuracy and performance. Problem-solving: Able to trace issues across multiple systems and deliver elegant, lasting solutions. Communication: Able to explain … complex technical concepts clearly to technical and non-technical stakeholders. Required Skills & Experience Data warehousing: Understand differences between application databases and analytical warehouses; design models for both. Python: Strong expertise; C# experience is a plus. SQL: Comfortable with complex queries and query tuning on relational and analytical databases (e.g., PostgreSQL, ClickHouse). Containers: Experience building, running, and deploying More ❯

/London - £130K + Bonus & Benefits – FinTech Overview: An established global FinTech organisation is seeking a skilled Senior Analytics Engineer/Data Engineer to help define and manage its analytical data models and semantic layers.You will support the development of reliable, well-structured datasets that enable accurate reporting, improved data accessibility, and better decision-making across the business. Fluent … requirements into logical, scalable data models. Knowledge of cloud data platforms (e.g., Snowflake, Redshift, BigQuery). Strong communication and documentation skills. Structured, detail-oriented mindset. Desirable: Experience with semantic modelling tools (e.g., dbt SL, LookML). Familiarity with workflow orchestration and BI tooling. Version control experience (Git). Python for scripting. Offer Details: Type: Permanent Location: London/Hybrid More ❯

/London - £130K + Bonus & Benefits – FinTech Overview: An established global FinTech organisation is seeking a skilled Senior Analytics Engineer/Data Engineer to help define and manage its analytical data models and semantic layers. You will support the development of reliable, well-structured datasets that enable accurate reporting, improved data accessibility, and better decision-making across the business. … requirements into logical, scalable data models. Knowledge of cloud data platforms (e.g., Snowflake, Redshift, BigQuery). Strong communication and documentation skills. Structured, detail-oriented mindset. Desirable: Experience with semantic modelling tools (e.g., dbt SL, LookML). Familiarity with workflow orchestration and BI tooling. Version control experience (Git). Python for scripting. Offer Details: Type: Permanent Location: London/Hybrid More ❯

/London - £130K + Bonus & Benefits – FinTech Overview: An established global FinTech organisation is seeking a skilled Senior Analytics Engineer/Data Engineer to help define and manage its analytical data models and semantic layers. You will support the development of reliable, well-structured datasets that enable accurate reporting, improved data accessibility, and better decision-making across the business. … requirements into logical, scalable data models. Knowledge of cloud data platforms (e.g., Snowflake, Redshift, BigQuery). Strong communication and documentation skills. Structured, detail-oriented mindset. Desirable: Experience with semantic modelling tools (e.g., dbt SL, LookML). Familiarity with workflow orchestration and BI tooling. Version control experience (Git). Python for scripting. Offer Details: Type: Permanent Location: London/Hybrid More ❯

/London - £130K + Bonus & Benefits – FinTech Overview: An established global FinTech organisation is seeking a skilled Senior Analytics Engineer/Data Engineer to help define and manage its analytical data models and semantic layers. You will support the development of reliable, well-structured datasets that enable accurate reporting, improved data accessibility, and better decision-making across the business. … requirements into logical, scalable data models. Knowledge of cloud data platforms (e.g., Snowflake, Redshift, BigQuery). Strong communication and documentation skills. Structured, detail-oriented mindset. Desirable: Experience with semantic modelling tools (e.g., dbt SL, LookML). Familiarity with workflow orchestration and BI tooling. Version control experience (Git). Python for scripting. Offer Details: Type: Permanent Location: London/Hybrid More ❯

machine learning models, ensuring alignment with business objectives and seamless integration into client operations. 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. Data Pipeline Management: Be able to design, implement, and maintain data pipelines that are … critical for model training and deployment. Your expertise will ensure the reliability and efficiency of our data infrastructure. 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 data science, including techniques More ❯

Role – We are seeking a talented Senior Python Developer to join a global orgnisation within its Trading Analytics & Insights division. The team is responsible for delivering data-driven solutions, analytical models, and digital tools that empower analysts and commercial teams across multiple trading regions. Working in a highly collaborative, fast-paced environment, you will design, build, and support scalable … and reusable frameworks for analytics, data management, and reporting. Build interactive dashboards and data visualisations using Plotly Dash, Power BI , or similar technologies. Contribute to the development of shared analytical libraries and tools. Collaborate with global teams to deliver enterprise-wide data and technology initiatives. Integrate applications with REST APIs and enterprise data services. Ensure alignment with cloud architecture … tools (e.g., Plotly Dash, Power BI). Understanding of software development best practices (Git, CI/CD, testing). Exposure to cloud computing platforms (AWS or Azure). Excellent analytical and communication skills. If you are interested or would like to know more, please email jonathan.la@focusonsap.org with your CV and availability to speak. Applicants must be a UK More ❯