376 to 400 of 4,050 Analytics Jobs in London

Engineer to conduct multiple proof of concepts using different technical solutions. The following skills/experience is required: Strong data modelling, data warehousing and analytics background Excellent DevOps experience track record with ETL processes, and database design. Proficient in SQL and experience with various database technologies. Strong cloud platforms like More ❯

Bachelor's degree or equivalent experience in quantitative field (Statistics, Mathematics, Computer Science, Engineering, etc.) At least 1 - 2 years of experience in quantitative analytics or data modelling Deep understanding of predictive modelling, machine-learning, clustering and classification techniques, and algorithms Fluency in a programming language (Python, C,C++, Java More ❯

in a relevant field such as Mathematics, Risk, Insurance, or Actuarial Science 6-10 years of experience in exposure management, cat modelling, or insurance analytics Strong working knowledge of the Lloyd's and London Market, with an understanding of underwriting processes Skilled in data manipulation and analysis using Python and More ❯

cross-functionally, preparing and presenting reports to guide business strategy and project outcomes. Essential tools - Power BI Python BigQuery Google Cloud Platform Looker Google Analytics 4 (GA4) Solid understanding of CRM data structures and behaviours Comfortable working with large, complex datasets Experience in sports or retail is prefferable More ❯

Bachelor's degree or equivalent experience in quantitative field (Statistics, Mathematics, Computer Science, Engineering, etc.) At least 1 - 2 years of experience in quantitative analytics or data modelling Deep understanding of predictive modelling, machine-learning, clustering and classification techniques, and algorithms Fluency in a programming language (Python, C,C++, Java More ❯

understanding of energy markets (e.g., imbalance settlement, trading cycles, market participants). Proficient in Excel (pivot tables, VLOOKUPs, formulas); knowledge of SQL or data analytics tools is a plus. Strong analytical and problem-solving skills. Ability to work independently and in a team in a hybrid environment. Excellent communication and More ❯

Bachelor's degree or equivalent experience in quantitative field (Statistics, Mathematics, Computer Science, Engineering, etc.) At least 1 - 2 years of experience in quantitative analytics or data modelling Deep understanding of predictive modelling, machine-learning, clustering and classification techniques, and algorithms Fluency in a programming language (Python, C,C++, Java More ❯

cross-functionally, preparing and presenting reports to guide business strategy and project outcomes. Essential tools - Power BI Python BigQuery Google Cloud Platform Looker Google Analytics 4 (GA4) Solid understanding of CRM data structures and behaviours Comfortable working with large, complex datasets Experience in sports or retail is prefferable More ❯

innovative solutions. Key Responsibilities: Develop advanced models using machine learning and AI. Code algorithms in C# with Python for data analysis. Collaborate with trading, analytics, and engineering teams. Candidate Requirements Experience: 3+ years in sports betting with a focus on quant innovation. Skills: Machine learning, AI expertise, and strong C# More ❯

innovative solutions. Key Responsibilities: Develop advanced models using machine learning and AI. Code algorithms in C# with Python for data analysis. Collaborate with trading, analytics, and engineering teams. Candidate Requirements Experience: 3+ years in sports betting with a focus on quant innovation. Skills: Machine learning, AI expertise, and strong C# More ❯

of risk modelling capabilities across various asset classes. To be considered for the role applicants must have a strong background in data science or analytics, ideally within a financial institution. Candidates must have experience within a Risk function or a strong understanding passion when it comes to Investment Risk. Proficiency More ❯

technical capability across digital platforms, cloud environments, and automation initiatives. Managing full project life cycles. Required experience: Proven experience leading enterprise-level data and analytics functions, ideally within a Microsoft tech stack. A strong track record of optimizing complex data environments and implementing high-impact AI solutions. Hands-on expertise More ❯

critical to the success of a large-scale transformation programme, focused on consolidating multiple data sources into a unified, scalable architecture to enable improved analytics, data governance, and operational insights. Technical requirements: Substantial experience designing and implementing data solutions on Microsoft Azure Hands-on expertise with Snowflake, including data modelling More ❯

reports and verbal presentations. Work closely with engineering, product, and executive teams to integrate models into production systems. Drive innovation in data usage across analytics, predictive modeling, and decision systems. What We’re Looking For: 8+ years of data science experience, including 2+ years in leadership roles. Expertise in machine More ❯

cloud monitoring, data analysis, or DevOps support Strong expertise in Microsoft Azure services (App Service, SQL DB, Blob Storage, Azure Monitor, Application Insights, Log Analytics) Automation scripting (PowerShell, Python, Azure Functions) Experience with C# is a bonus Analytical mindset with the ability to turn data into actionable insights Experience working More ❯

cloud monitoring, data analysis, or DevOps support Strong expertise in Microsoft Azure services (App Service, SQL DB, Blob Storage, Azure Monitor, Application Insights, Log Analytics) Automation scripting (PowerShell, Python, Azure Functions) Experience with C# is a bonus Analytical mindset with the ability to turn data into actionable insights Experience working More ❯

cloud monitoring, data analysis, or DevOps support Strong expertise in Microsoft Azure services (App Service, SQL DB, Blob Storage, Azure Monitor, Application Insights, Log Analytics) Automation scripting (PowerShell, Python, Azure Functions) Experience with C# is a bonus Analytical mindset with the ability to turn data into actionable insights Experience working More ❯

reports and verbal presentations. Work closely with engineering, product, and executive teams to integrate models into production systems. Drive innovation in data usage across analytics, predictive modeling, and decision systems. What We’re Looking For: 8+ years of data science experience, including 2+ years in leadership roles. Strong background in More ❯

reports and verbal presentations. Work closely with engineering, product, and executive teams to integrate models into production systems. Drive innovation in data usage across analytics, predictive modelling, and decision systems. What We’re Looking For: 8+ years of data science experience, including 2+ years in leadership roles. Strong background in More ❯

Location - London Hybrid Working Key requirements: 7+ years' experience working as a Business Analyst supporting agile delivery and requirements. Experience with system developments, data analytics, and data transformation . Familiarity with Agile projects and tools such as Azure DevOps . Demonstrable experience using use cases, UML, and user stories . More ❯

reports and verbal presentations. Work closely with engineering, product, and executive teams to integrate models into production systems. Drive innovation in data usage across analytics, predictive modelling, and decision systems. What We’re Looking For: 8+ years of data science experience, including 2+ years in leadership roles. Strong background in More ❯

reports and verbal presentations. Work closely with engineering, product, and executive teams to integrate models into production systems. Drive innovation in data usage across analytics, predictive modeling, and decision systems. What We’re Looking For: 8+ years of data science experience, including 2+ years in leadership roles. Strong background in More ❯

within Payroc's ecosystem. This role involves defining platform standards for smooth deployments, ensuring platform stability and scalability through upgrades, and managing the data analytics platform. Responsibilities: Utilize modern data platform tools (dbt Core, Airflow, Airbyte, Snowflake, etc.). Collaborate with DevOps, Data Engineering, Infrastructure, and InfoSec for seamless application More ❯

within Payroc's ecosystem. This role involves defining platform standards for smooth deployments, ensuring platform stability and scalability through upgrades, and managing the data analytics platform. Responsibilities: Utilize modern data platform tools (dbt Core, Airflow, Airbyte, Snowflake, etc.). Collaborate with DevOps, Data Engineering, Infrastructure, and InfoSec for seamless application More ❯

within Payroc's ecosystem. This role involves defining platform standards for smooth deployments, ensuring platform stability and scalability through upgrades, and managing the data analytics platform. Responsibilities: Utilize modern data platform tools (dbt Core, Airflow, Airbyte, Snowflake, etc.). Collaborate with DevOps, Data Engineering, Infrastructure, and InfoSec for seamless application More ❯