26 to 50 of 108 Predictive Modelling Jobs in London

on shaping our pricing models. As a Pricing Analyst, you will use your advanced analytical skills to: Monitor our portfolio and deliver innovative pricing solutions, Use a blend of predictive analytics and commercial acumen to distil key trends and identify pricing actions, Contribute to the profitability of the products by meeting loss ratio targets and protecting capacity providers' financial … results by balancing product volume and profitability The Pricing portfolio management team is responsible for developing new modelling techniques and processes and building and refreshing the risk models that underpin our rates that need to operate effectively in the aggregator channels. Key Responsibilities: Support the design, development and implementation of a robust and innovative performance monitoring framework Contribute to … impact analytics. Work closely with the Underwriting team on risk appetite, product development and innovation supporting progression by providing performance and market analytical insight. Work closely with the Technical Modelling team on peril risk cost models ensuring product performance dynamics are suitably captured and fed back in technical models. Contribute to delivery of the pricing roadmap in line with More ❯

This will include both technical and non-technical audiences Work within a technically-minded team of data analysts, scientists and engineers Opportunity to learn more technical data skills; building predictive models, leveraging AI, clustering & segmentation, statistical analysis, data engineering etc What you'll bring: 2-3 years of professional experience in a data analytics or similar role. Strong SQL More ❯

data sources independently. Familiarity with core statistical concepts and techniques (e.g. properties of distributions, hypothesis testing, parametric/non-parametric tests, survey design, sampling theory, experimental design, regression/predictive modeling, stochastic modeling/simulation, and more). Exposure to a variety of machine learning methods (clustering, regression, tree-based models, etc.) and their real-world advantages/drawbacks. More ❯

in the gambling sector or have a strong interest in applying data science within this industry . You’ll work on large, complex datasets to uncover behavioural patterns, build predictive models, and drive data-led strategies that directly influence product and business decisions. What You’ll Be Doing: Designing and deploying predictive models, machine learning solutions, and advanced … statistical analyses Executing end-to-end data science workflows: from data acquisition and cleaning to modelling, validation, and deployment Applying statistical and ML techniques to identify insights from millions of behavioural data points Working closely with product and business teams to translate findings into actionable outcomes Measuring and improving platform and product performance through experimentation and analytics What We … years’ experience in a Data Scientist or applied analytics role Proficiency in SQL and strong programming skills (Python, R, or similar) Hands-on experience with machine learning, predictive modelling, regression, hypothesis testing, and time-series analysis Ability to manage and deliver data projects independently as well as part of a team Strong communication skills for presenting technical insights More ❯

in the gambling sector or have a strong interest in applying data science within this industry . You’ll work on large, complex datasets to uncover behavioural patterns, build predictive models, and drive data-led strategies that directly influence product and business decisions. What You’ll Be Doing: Designing and deploying predictive models, machine learning solutions, and advanced … statistical analyses Executing end-to-end data science workflows: from data acquisition and cleaning to modelling, validation, and deployment Applying statistical and ML techniques to identify insights from millions of behavioural data points Working closely with product and business teams to translate findings into actionable outcomes Measuring and improving platform and product performance through experimentation and analytics What We … years’ experience in a Data Scientist or applied analytics role Proficiency in SQL and strong programming skills (Python, R, or similar) Hands-on experience with machine learning, predictive modelling, regression, hypothesis testing, and time-series analysis Ability to manage and deliver data projects independently as well as part of a team Strong communication skills for presenting technical insights More ❯

in the gambling sector or have a strong interest in applying data science within this industry . You’ll work on large, complex datasets to uncover behavioural patterns, build predictive models, and drive data-led strategies that directly influence product and business decisions. What You’ll Be Doing: Designing and deploying predictive models, machine learning solutions, and advanced … statistical analyses Executing end-to-end data science workflows: from data acquisition and cleaning to modelling, validation, and deployment Applying statistical and ML techniques to identify insights from millions of behavioural data points Working closely with product and business teams to translate findings into actionable outcomes Measuring and improving platform and product performance through experimentation and analytics What We … years’ experience in a Data Scientist or applied analytics role Proficiency in SQL and strong programming skills (Python, R, or similar) Hands-on experience with machine learning, predictive modelling, regression, hypothesis testing, and time-series analysis Ability to manage and deliver data projects independently as well as part of a team Strong communication skills for presenting technical insights More ❯

in the gambling sector or have a strong interest in applying data science within this industry . You’ll work on large, complex datasets to uncover behavioural patterns, build predictive models, and drive data-led strategies that directly influence product and business decisions. What You’ll Be Doing: Designing and deploying predictive models, machine learning solutions, and advanced … statistical analyses Executing end-to-end data science workflows: from data acquisition and cleaning to modelling, validation, and deployment Applying statistical and ML techniques to identify insights from millions of behavioural data points Working closely with product and business teams to translate findings into actionable outcomes Measuring and improving platform and product performance through experimentation and analytics What We … years’ experience in a Data Scientist or applied analytics role Proficiency in SQL and strong programming skills (Python, R, or similar) Hands-on experience with machine learning, predictive modelling, regression, hypothesis testing, and time-series analysis Ability to manage and deliver data projects independently as well as part of a team Strong communication skills for presenting technical insights More ❯

term HR process, employee experience, and solution strategies that enable Swiss Re's business objectives Data Analytics Excellence - Lead the People Analytics team in developing comprehensive analytics strategies, building predictive models, and creating advanced reporting capabilities that drive organizational insights and strategic decision-making Innovation Leadership - Drive partnerships between HR COEs and Group Digital and Technology to optimize HR … processes, including strategy development, service delivery, human capital management technologies, with ability to translate business needs into technology requirements Advanced expertise in people analytics, data visualization, statistical analysis, and predictive modelling for workforce insights, with experience leading HR data analytics teams and building capabilities within HR functions Experience working with enterprise HRIS platforms (Workday, SAP SuccessFactors, Oracle HCM More ❯

and improving performance by reimagining value creation capabilities. They are utilising cutting-edge AI to generate performance insights on each aspect of the investment lifecycle. Responsibilities: Build machine learning predictive models to anticipate/avoid asset downtime and reducing customer churn Evaluate and optimise all models, identifying areas for development Work end-to-end both building and deploying models More ❯

and improving performance by reimagining value creation capabilities. They are utilising cutting-edge AI to generate performance insights on each aspect of the investment lifecycle. Responsibilities: Build machine learning predictive models to anticipate/avoid asset downtime and reducing customer churn Evaluate and optimise all models, identifying areas for development Work end-to-end both building and deploying models More ❯

and improving performance by reimagining value creation capabilities. They are utilising cutting-edge AI to generate performance insights on each aspect of the investment lifecycle. Responsibilities: Build machine learning predictive models to anticipate/avoid asset downtime and reducing customer churn Evaluate and optimise all models, identifying areas for development Work end-to-end both building and deploying models More ❯

and improving performance by reimagining value creation capabilities. They are utilising cutting-edge AI to generate performance insights on each aspect of the investment lifecycle. Responsibilities: Build machine learning predictive models to anticipate/avoid asset downtime and reducing customer churn Evaluate and optimise all models, identifying areas for development Work end-to-end both building and deploying models More ❯

and improving performance by reimagining value creation capabilities. They are utilising cutting-edge AI to generate performance insights on each aspect of the investment lifecycle. Responsibilities: Build machine learning predictive models to anticipate/avoid asset downtime and reducing customer churn Evaluate and optimise all models, identifying areas for development Work end-to-end both building and deploying models More ❯

and GIS techniques. Ability to communicate complex data insights to non-technical stakeholders. Collaborative mindset and ability to work cross-functionally. Nice to Have: Background in machine learning and predictive modeling. Familiarity with geological datasets and workflows. Understanding of software development processes. Why Apply: Join a forward-thinking team building impactful software solutions for the mining and geological sectors. More ❯

solutions (Snowflake, Azure, AWS or GCP) Work with BI and visualisation tools such as Power BI or Tableau Apply AI and advanced analytics techniques where relevant, including LLMs and predictive modelling Translate complex business problems into actionable technical solutions Mentor and develop a growing team, raising the bar across delivery and standards Engage with senior stakeholders and influence … decision-making YOUR SKILLS AND EXPERIENCE The successful Lead Analytics Consultant will have: Extensive experience in analytics, with strong delivery and client engagement skills Excellent SQL and data modelling experience Hands-on expertise with at least one cloud platform (Snowflake, Azure, AWS, GCP) Proficiency in a leading BI tool (Power BI or Tableau essential) Exposure to AI/ML More ❯

in product/analytics roles Strong skills in SQL, A/B testing, statistics and data storytelling Hands-on with Tableau, Power BI, or Looker Bonus: Python/R, predictive modelling, FinTech passion What you get: Competitive salary plus discretionary bonus Excellent benefits package Hybrid working (3 days in London office) Career growth with unlimited learning Extra perks More ❯

in product/analytics roles Strong skills in SQL, A/B testing, statistics and data storytelling Hands-on with Tableau, Power BI, or Looker Bonus: Python/R, predictive modelling, FinTech passion What you get: Competitive salary plus discretionary bonus Excellent benefits package Hybrid working (3 days in London office) Career growth with unlimited learning Extra perks More ❯

in product/analytics roles Strong skills in SQL, A/B testing, statistics and data storytelling Hands-on with Tableau, Power BI, or Looker Bonus: Python/R, predictive modelling, FinTech passion What you get: Competitive salary plus discretionary bonus Excellent benefits package Hybrid working (3 days in London office) Career growth with unlimited learning Extra perks More ❯

in product/analytics roles Strong skills in SQL, A/B testing, statistics and data storytelling Hands-on with Tableau, Power BI, or Looker Bonus: Python/R, predictive modelling, FinTech passion What you get: Competitive salary plus discretionary bonus Excellent benefits package Hybrid working (3 days in London office) Career growth with unlimited learning Extra perks More ❯

Python or R. Hands-on experience with Power BI (or similar tools like Tableau, Looker). Experience with CRM databases and supporting marketing with customer insights. Bonus Points For Predictive modelling, machine learning, or advanced statistical analysis. Experience with Google Cloud and BigQuery. Code-based app development. Database/BI system administration and migration. A technical degree (Mathematics More ❯

a fast-paced, consumer-focused environment. Location: London Duration: 3-6 months Rate: £400 per day (Outside IR35) Start Date: ASAP What You'll Be Doing: Build and deploy predictive models to optimise delivery routes, reduce churn, and enhance customer satisfaction. Work across cloud platforms (Azure, AWS, GCP) to ingest, transform, and analyse large-scale datasets. Collaborate with cross More ❯

reporting and self-service analytics, enhancing business literacy. Establish and oversee data governance, including policies, standards, quality, access control, and compliance. Develop AI prototypes to address strategic challenges, leveraging predictive models, optimization, and large language models. Serve as SGN’s internal and external expert on responsible AI, advising stakeholders and engaging with regulators. Promote data and AI as essential More ❯

reporting and self-service analytics, enhancing business literacy. Establish and oversee data governance, including policies, standards, quality, access control, and compliance. Develop AI prototypes to address strategic challenges, leveraging predictive models, optimization, and large language models. Serve as SGN's internal and external expert on responsible AI, advising stakeholders and engaging with regulators. Promote data and AI as essential More ❯

teams together to plan solutions around problems using OKRs and KPIs that deliver tangible impact. Advanced Analytics: Practical experience using and applying AI/machine learning techniques and building predictive models to generate deeper insights. At Funding Circle we are committed to building diverse teams so please apply even if your past experience doesn't align perfectly with the More ❯

complex problems with data? Join a fast-growing tech and software innovation company in the heart of London. We’re looking for a Data Scientist eager to apply advanced modelling, analytics, and machine learning to build cutting-edge software solutions that empower businesses, streamline operations, and unlock growth. 🔍 Your Responsibilities: Data exploration & modelling: Work with large, complex datasets … to uncover insights and build scalable predictive models. Machine learning development: Design, train, and deploy models for applications. Software integration: Collaborate with engineers to integrate data-driven models into live products and platforms. Tool & framework development: Build algorithms, APIs, and analytical tools that enhance product capabilities and improve user experience. Data storytelling & reporting: Create dashboards and visualisations that communicate More ❯