1 to 25 of 44 Remote Analytical Modelling Jobs in the UK

work model – 3 days per week in the London office Role and Responsibilities Collaborate directly with trading and analytics teams to engineer, optimize, and automate front-office workflows and analytical models. Develop robust Python-based services and APIs using modern frameworks, microservice architectures, and best-practice design principles. Design and maintain tools that support market data ingestion, supply & demand More ❯

work model – 3 days per week in the London office Role and Responsibilities Collaborate directly with trading and analytics teams to engineer, optimize, and automate front-office workflows and analytical models. Develop robust Python-based services and APIs using modern frameworks, microservice architectures, and best-practice design principles. Design and maintain tools that support market data ingestion, supply & demand More ❯

bank holidays Hybrid work model 3 days per week in the London office Collaborate directly with trading and analytics teams to engineer, optimize, and automate front-office workflows and analytical models. Develop robust Python-based services and APIs using modern frameworks, microservice architectures, and best-practice design principles. Design and maintain tools that support market data ingestion, supply & demand 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 ❯

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 ❯

CD pipelines, containerized systems, and AWS environments that underpin the firms data lake, data pipelines, and analytics platforms. Youll build robust infrastructure, automate data ingestion, and deploy cutting-edge analytical models into live trading environments. Working alongside brilliant analysts and engineers, youll shape the firms technical foundation and directly influence how data drives trading strategy and decision-making. Location 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 contact Edward here at ISR to learn more about our client and how they are leading the way in developing More ❯

intensive system components. Proficient in Java, Scala, or Python . Hands-on experience with data-processing platforms (Informatica, Azure Databricks, or equivalent ETL tools). Expertise in SQL and analytical extensions . Strong understanding of distributed data stores and processing frameworks . Skilled in designing analytical and operational data models . Ability to communicate complex technical design clearly More ❯

stakeholders across Global IT, Data, and Broking teams to translate business requirements into technical solutions. 🔹 Futureproofing – Drive the evolution of the data platform, ensuring adaptability for new data sources, analytical models, and emerging technologies. What You’ll Bring ✅ Extensive hands-on experience with Databricks , and Microsoft Azure data tools (must-have: Azure Data Factory, Azure Synapse, or Azure SQL … . ✅ Dimensional modelling/DWH Design ✅ Medallion Architecture ✅ Strong ETL/ELT development skills. ✅ Python scripting experience for data automation. ✅ Experience with CI/CD methodologies for data platforms. ✅ Previous London Market Insurance experience Why Join? 🚀 Greenfield Project – Work on an all-new data platform, shaping its architecture from the ground up. 🌍 Collaborative Culture – Engage with global teams in More ❯

stakeholders across Global IT, Data, and Broking teams to translate business requirements into technical solutions. 🔹 Futureproofing – Drive the evolution of the data platform, ensuring adaptability for new data sources, analytical models, and emerging technologies. What You’ll Bring ✅ Extensive hands-on experience with Databricks , and Microsoft Azure data tools (must-have: Azure Data Factory, Azure Synapse, or Azure SQL … . ✅ Dimensional modelling/DWH Design ✅ Medallion Architecture ✅ Strong ETL/ELT development skills. ✅ Python scripting experience for data automation. ✅ Experience with CI/CD methodologies for data platforms. ✅ Previous London Market Insurance experience Why Join? 🚀 Greenfield Project – Work on an all-new data platform, shaping its architecture from the ground up. 🌍 Collaborative Culture – Engage with global teams in More ❯

stakeholders across Global IT, Data, and Broking teams to translate business requirements into technical solutions. 🔹 Futureproofing – Drive the evolution of the data platform, ensuring adaptability for new data sources, analytical models, and emerging technologies. What You’ll Bring ✅ Extensive hands-on experience with Databricks , and Microsoft Azure data tools (must-have: Azure Data Factory, Azure Synapse, or Azure SQL … . ✅ Dimensional modelling/DWH Design ✅ Medallion Architecture ✅ Strong ETL/ELT development skills. ✅ Python scripting experience for data automation. ✅ Experience with CI/CD methodologies for data platforms. ✅ Previous London Market Insurance experience Why Join? 🚀 Greenfield Project – Work on an all-new data platform, shaping its architecture from the ground up. 🌍 Collaborative Culture – Engage with global teams in More ❯

stakeholders across Global IT, Data, and Broking teams to translate business requirements into technical solutions. 🔹 Futureproofing – Drive the evolution of the data platform, ensuring adaptability for new data sources, analytical models, and emerging technologies. What You’ll Bring ✅ Extensive hands-on experience with Databricks , and Microsoft Azure data tools (must-have: Azure Data Factory, Azure Synapse, or Azure SQL … . ✅ Dimensional modelling/DWH Design ✅ Medallion Architecture ✅ Strong ETL/ELT development skills. ✅ Python scripting experience for data automation. ✅ Experience with CI/CD methodologies for data platforms. ✅ Previous London Market Insurance experience Why Join? 🚀 Greenfield Project – Work on an all-new data platform, shaping its architecture from the ground up. 🌍 Collaborative Culture – Engage with global teams in More ❯

stakeholders across Global IT, Data, and Broking teams to translate business requirements into technical solutions. 🔹 Futureproofing – Drive the evolution of the data platform, ensuring adaptability for new data sources, analytical models, and emerging technologies. What You’ll Bring ✅ Extensive hands-on experience with Databricks , and Microsoft Azure data tools (must-have: Azure Data Factory, Azure Synapse, or Azure SQL … . ✅ Dimensional modelling/DWH Design ✅ Medallion Architecture ✅ Strong ETL/ELT development skills. ✅ Python scripting experience for data automation. ✅ Experience with CI/CD methodologies for data platforms. ✅ Previous London Market Insurance experience Why Join? 🚀 Greenfield Project – Work on an all-new data platform, shaping its architecture from the ground up. 🌍 Collaborative Culture – Engage with global teams in More ❯

permanent role, and the salary ranges between £60K - £70K + Bonus + Benefits. Hybrid working policy with 3 days in the office per week. Responsibilities include: - Design and deploy analytical models and dashboards to uncover insights, predict trends, and inform decision-making. - Provide data support to business transformation initiatives, ensuring alignment with strategic objectives and digital innovation goals. - Manage … experience - Hands-on experience with Google Cloud Platform tools including: BigQuery; Composer; Apache Airflow; Stream; Informatica; Vertex AI - Tableau dashboard development and reporting - Python programming for data analysis - Data modelling (warehouse, lakehouse, medallion architecture) - Understanding of financial and insurance data models - Insurance experience, ideally with knowledge of key industry metrics Please apply for immediate interview! CBSbutler is operating and 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 ❯

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 ❯

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 ❯

development – transforming complex performance data into scalable, real-world solutions that make a genuine impact. As an Engineering Analyst/Data Scientist you will be doing: Developing and implementing analytical models to monitor structural health, performance, and loads Analysing large datasets from sensors, simulations, and operational logs to uncover valuable engineering insights Translating core engineering principles into data-driven … algorithms and analytical tools Collaborating with product, analytics, and software teams to ensure seamless platform integration Training and validating models using both experimental and real-world operational data Contributing to technical documentation, system monitoring, and client-facing reports and visualisations What you'll need Degree in Mechanical Engineering or equivalent (Aerospace Engineering, Applied Physics, or related field) Strong background … ll be joining at a pivotal moment when there's genuine investment and momentum behind the business. Next Steps If you're a mechanical engineer looking to apply your analytical skills in an innovative technical environment, I'd welcome a conversation about this opportunity. For a confidential discussion about the role, the company, and current market insights for similar More ❯

development – transforming complex performance data into scalable, real-world solutions that make a genuine impact. As an Engineering Analyst/Data Scientist you will be doing: Developing and implementing analytical models to monitor structural health, performance, and loads Analysing large datasets from sensors, simulations, and operational logs to uncover valuable engineering insights Translating core engineering principles into data-driven … algorithms and analytical tools Collaborating with product, analytics, and software teams to ensure seamless platform integration Training and validating models using both experimental and real-world operational data Contributing to technical documentation, system monitoring, and client-facing reports and visualisations What you'll need Degree in Mechanical Engineering or equivalent (Aerospace Engineering, Applied Physics, or related field) Strong background … ll be joining at a pivotal moment when there's genuine investment and momentum behind the business. Next Steps If you're a mechanical engineer looking to apply your analytical skills in an innovative technical environment, I'd welcome a conversation about this opportunity. For a confidential discussion about the role, the company, and current market insights for similar More ❯