City of London, London, United Kingdom Hybrid / WFH Options
Tenth Revolution Group
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 ❯
City of London, London, United Kingdom Hybrid / WFH Options
Arthur Recruitment
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 ❯
london, south east england, united kingdom Hybrid / WFH Options
Arthur Recruitment
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 ❯
slough, south east england, united kingdom Hybrid / WFH Options
Arthur Recruitment
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 ❯
london (city of london), south east england, united kingdom Hybrid / WFH Options
Arthur Recruitment
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 ❯
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 ❯
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 ❯
Manchester, Lancashire, United Kingdom Hybrid / WFH Options
CHEP UK Ltd
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 ❯
Southampton, Hampshire, South East, United Kingdom
Spectrum It Recruitment Limited
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 ❯
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 ❯
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 ❯
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 ❯
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 ❯
london (city of london), south east england, united kingdom
Computappoint
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 ❯
innovative solutions. Hypothesis Development & Testing: Formulate testable hypotheses, design rigorous methodologies, and develop simulation environments to validate ideas and inform commercial decisions. Model Development & Implementation: Build and deploy advanced analytical models, machine learning algorithms, and AI solutions to address complex business challenges. Data Analysis & Insights: Conduct in-depth data analysis to identify trends, patterns, and opportunities for innovation. Collaboration More ❯
London, South East, England, United Kingdom Hybrid / WFH Options
Harnham - Data & Analytics Recruitment
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 ❯
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 ❯
identify and monitor key drivers and characteristics of claims, feeding back into underwriting performance Operational analytics - work with the claims team to help optimise claims processes for example resource modelling and improvement of MI/KPI reporting Lead the development of the claims analytics framework for Markel International Develop a comprehensive understanding of local business lines, market practices, claims … accurate and timely management information to Markel International leadership, wholesale leadership and meetings as the need arises. Our must-haves: Strong experience in translating complex business requirements into actionable analytical models that deliver insights Extensive experience in data science techniques including statistical modelling, machine learning algorithms, and AI. Comfortable with model development, validation, deployment, and performance monitoring. Advanced More ❯
