126 to 150 of 173 Predictive Modelling Jobs in the UK

service that applies AI/ML to process high-volume, low-complexity workflows.You'll work on a modern AWS serverless platform, developing components for document analysis, signature detection, and predictive modelling. Collaboration with cross-functional teams is key to ensuring seamless integration with existing digital services. What You'll Need to Succeed Commercial experience with AI/ML technology More ❯

that applies AI/ML to process high-volume, low-complexity workflows. You'll work on a modern AWS serverless platform, developing components for document analysis, signature detection, and predictive modelling. Collaboration with cross-functional teams is key to ensuring seamless integration with existing digital services. What You'll Need to Succeed Commercial experience with AI/ML technology More ❯

and business to co-create service visions and identify pain points, dependencies, and opportunities for innovation. AI & tech awareness: Maintain an awareness of AI capabilities (e.g., intelligent search, automation, predictive models) to identify where these can improve service flows and outcomes. Mapping technical-user integration: Help visualise and communicate how technical elements like microservices, APIs, and data pipelines support More ❯

and grow a team of product data scientists, who architect complex measurement frameworks and drive strategy with rigorous experimentation and causal inference, and technical data scientists, who develop the predictive models and intelligent systems that power our platform. This isn't just another technical leadership role; you'll directly shape how the industry incorporates human intelligence into the next More ❯

and grow a team of product data scientists, who architect complex measurement frameworks and drive strategy with rigorous experimentation and causal inference, and technical data scientists, who develop the predictive models and intelligent systems that power our platform. This isn't just another technical leadership role; you'll directly shape how the industry incorporates human intelligence into the next More ❯

and grow a team of product data scientists, who architect complex measurement frameworks and drive strategy with rigorous experimentation and causal inference, and technical data scientists, who develop the predictive models and intelligent systems that power our platform. This isn't just another technical leadership role; you'll directly shape how the industry incorporates human intelligence into the next More ❯

you will have the opportunity to share ownership in solving this problem end to end. From exploring new data sources for building features, to design and put in production predictive models and make sure they perform consistently over time. We have available terabytes of flights, events and news data and we constantly add new data sources. What we are More ❯

estate firms understand and act on physical climate risk. You’ll define the ML strategy, shape a high-impact team, and deliver real-world innovation across generative AI, geospatial modelling, and time-series forecasting. Key Responsibilities Own and evolve the company’s AI & ML strategy in line with product and customer priorities Lead, mentor, and grow a high-performing … team of ML Engineers Take prototypes through to production, delivering meaningful product features powered by GenAI and predictive modelling Collaborate with Science and Engineering to integrate ML with physics-based climate models Communicate complex technical concepts in simple, outcome-oriented terms for customers and cross-functional teams Your work will focus on delivering high-value insights and solutions … satellite imagery and remote sensing for climate hazard detection Enhancing time-series forecasts to inform asset-level risk planning Combining simulation outputs with ML for hybrid physical + statistical modelling What We’re Looking For Proven leadership and strong hands on experience Proven track record of deploying ML into production environments Depth in at least one of: generative AI More ❯

estate firms understand and act on physical climate risk. You’ll define the ML strategy, shape a high-impact team, and deliver real-world innovation across generative AI, geospatial modelling, and time-series forecasting. Key Responsibilities Own and evolve the company’s AI & ML strategy in line with product and customer priorities Lead, mentor, and grow a high-performing … team of ML Engineers Take prototypes through to production, delivering meaningful product features powered by GenAI and predictive modelling Collaborate with Science and Engineering to integrate ML with physics-based climate models Communicate complex technical concepts in simple, outcome-oriented terms for customers and cross-functional teams Your work will focus on delivering high-value insights and solutions … satellite imagery and remote sensing for climate hazard detection Enhancing time-series forecasts to inform asset-level risk planning Combining simulation outputs with ML for hybrid physical + statistical modelling What We’re Looking For Proven leadership and strong hands on experience Proven track record of deploying ML into production environments Depth in at least one of: generative AI More ❯

ll oversee analytics across three business-critical areas: Marketing, Customer & Risk Analytics. You’ll lead a small but growing team of analysts and work closely with data scientists building predictive models YOUR SKILLS AND EXPERIENCE Management experience in the customer/marketing analytics space Prior & recent experience working in the Financial Services space THE BENEFITS More ❯

can enhance product offerings. Design and run experiments to test hypotheses and support product development. Develop robust data pipelines to support science experimentation and production. Deploy, maintain, and monitor predictive models in live environments. Communicate findings and technical concepts clearly to both technical and non-technical audiences. Contribute to agile delivery workflows and cross-functional collaboration. What We’re More ❯

can enhance product offerings. Design and run experiments to test hypotheses and support product development. Develop robust data pipelines to support science experimentation and production. Deploy, maintain, and monitor predictive models in live environments. Communicate findings and technical concepts clearly to both technical and non-technical audiences. Contribute to agile delivery workflows and cross-functional collaboration. What We’re More ❯

at Board Level. The Head of Data Science themselves will sit on the company's Executive Management Committee (top 20 Management Execs in the company). Key objectives Using predictive modelling to reduce disruption across the business Building scale & developing structure in the data science team Educate and continue to build growing analytics community in the business Disruption … modelling will include working across all areas of the business, not limited to marketing or customer data. The Data science team The head of data science will have 4 lead data scientists reporting to them with 4/5 people reporting to each of them. Team generally consist of PhD Level Data Science talent. Key areas for the Head More ❯

to monitor underwriting controls and support audits. • Automate and manage reporting for underwriting class and product leaders. • Investigate underwriting performance queries and provide actionable insights. • Design, develop, and validate predictive models to inform underwriting decisions. • Work with data engineering teams to design and maintain Azure Databricks pipelines. • Support the automation of data-driven deliverables for proactive services. • Identify and … skills, with experience working with large structured and unstructured datasets. • Experience building interactive dashboards and reporting tools. • Familiarity with data engineering, ETL processes, and data pipelines. • Experience with statistical modelling and machine learning techniques, and libraries such as scikit-learn, PyTorch, or TensorFlow. • Excellent communication skills able to explain complex analysis to non-technical stakeholders. • Proactive, inquisitive mindset with More ❯

to monitor underwriting controls and support audits. • Automate and manage reporting for underwriting class and product leaders. • Investigate underwriting performance queries and provide actionable insights. • Design, develop, and validate predictive models to inform underwriting decisions. • Work with data engineering teams to design and maintain Azure Databricks pipelines. • Support the automation of data-driven deliverables for proactive services. • Identify and … skills, with experience working with large structured and unstructured datasets. • Experience building interactive dashboards and reporting tools. • Familiarity with data engineering, ETL processes, and data pipelines. • Experience with statistical modelling and machine learning techniques, and libraries such as scikit-learn, PyTorch, or TensorFlow. • Excellent communication skills—able to explain complex analysis to non-technical stakeholders. • Proactive, inquisitive mindset with More ❯

to monitor underwriting controls and support audits. • Automate and manage reporting for underwriting class and product leaders. • Investigate underwriting performance queries and provide actionable insights. • Design, develop, and validate predictive models to inform underwriting decisions. • Work with data engineering teams to design and maintain Azure Databricks pipelines. • Support the automation of data-driven deliverables for proactive services. • Identify and … skills, with experience working with large structured and unstructured datasets. • Experience building interactive dashboards and reporting tools. • Familiarity with data engineering, ETL processes, and data pipelines. • Experience with statistical modelling and machine learning techniques, and libraries such as scikit-learn, PyTorch, or TensorFlow. • Excellent communication skills—able to explain complex analysis to non-technical stakeholders. • Proactive, inquisitive mindset with More ❯

to monitor underwriting controls and support audits. • Automate and manage reporting for underwriting class and product leaders. • Investigate underwriting performance queries and provide actionable insights. • Design, develop, and validate predictive models to inform underwriting decisions. • Work with data engineering teams to design and maintain Azure Databricks pipelines. • Support the automation of data-driven deliverables for proactive services. • Identify and … skills, with experience working with large structured and unstructured datasets. • Experience building interactive dashboards and reporting tools. • Familiarity with data engineering, ETL processes, and data pipelines. • Experience with statistical modelling and machine learning techniques, and libraries such as scikit-learn, PyTorch, or TensorFlow. • Excellent communication skills—able to explain complex analysis to non-technical stakeholders. • Proactive, inquisitive mindset with More ❯

structured databases to support the efficient storage and retrieval of information. Analyse datasets to identify patterns, trends, and opportunities related to housebuilding processes, material procurement, and vendor performance. Develop predictive models to forecast materials, project costs, and market demands. Provide actionable insights to assist the commercial team in optimising operations and enhancing profitability. Prepare comprehensive reports and dashboards using … levels and experience with technical and non-technical audiences. Experience in understanding, gathering, and analysing business requirements, with an analytical mind-set and a problem-solving approach. Knowledge of modelling with data visualisation solutions (e.g. Microsoft Power BI). Analytical troubleshooting and problem-solving skills. Strong understanding of commercial operations and market dynamics in the housing industry preferable. Exceptional More ❯

will play a pivotal role in driving data-driven decision-making and shaping strategic initiatives. Your expertise will directly impact the organisation's ability to understand client behaviour, refine predictive models, and deliver actionable insights that influence key business outcomes. You will take on the responsibility of developing and optimising machine learning models, analysing complex datasets, and collaborating closely … will play a pivotal role in driving data-driven decision-making and shaping strategic initiatives. Your expertise will directly impact the organisation's ability to understand client behaviour, refine predictive models, and deliver actionable insights that influence key business outcomes. You will take on the responsibility of developing and optimising machine learning models, analysing complex datasets, and collaborating closely More ❯

Article Recommendations. Contribute to longer-term Salesforce initiatives such as Agentforce for Service. 2. Systems Integration & API Work Build and maintain integrations between Salesforce and external platforms, including 6sense (predictive modelling & ABM). 6sense Conversational Email. Gong Engage (sales engagement). Planhat (Customer Success). HubSpot (marketing automation with bi-directional Salesforce sync). Ensure data quality, consistency More ❯

We are Data Tech, a programme that comprises a number of agile, cross-functional teams between London and Bangalore. We grow data platforms, build front-end products and create predictive models for News UK. We focus on the capture, management and utilisation of customer, clickstream and content data, in order to drive growth and increase revenue for our users. More ❯

optimising and automating Pricing processes to enable faster, more accurate decision-making. Your work will focus on developing and maintaining tooling and frameworks that enhance the efficiency of our predictive models, reducing deployment times, increasing scalability, and improving model performance through regular updates and monitoring. You will work closely with our Data Scientists, Actuaries, and Product team to deliver … scalable, production-grade ML systems. Key Responsibilities Build model lifecycle tooling (deployment, monitoring and alerting) for our predictive models (for example claims cost, conversion, retention, market models) Maintain and improve the development environment (Kubeflow) used by our Data Scientists and Actuaries Develop and maintain pricing analytics tools that enable faster impact assessments, reducing manual work Collaborate with the technical … Scientists, Actuaries, and Product Managers Nice To Have Experience in UK motor insurance Telematics Data: Familiarity with behavioural driving data and its application in insurance pricing Understanding of pricing modelling tools such as Akur8 or Emblem Experience with IaC (we use Terraform) Experience with gRPC/protobuf What's it like to work at Zego? Joining Zego is a More ❯

centralised data platform (GCP), enhance the Customer Data Platform (Twilio Segment), and drive insight-led decision-making across the business. You'll also play a key role in embedding predictive models like CLV and propensity scoring into core systems and processes. Were seeking a hands-on data leader with strong experience in cloud architecture, Data engineering, data governance, BI More ❯

Deliver actionable trading insights to optimize revenue and margin performance. Develop automated reporting and dashboards for real-time insights into UKI revenue, pricing, and promotional effectiveness. Establish and refine predictive models to anticipate UKI market trends and customer behavior. Leverage A/B testing and experimentation frameworks to assess the impact of UKI commercial initiatives and optimize investments. Stakeholder … Proficiency in SQL, Python, or other data analytics tools, along with BI platforms such as Tableau or Power BI. Strong understanding of data science applications in commercial strategy, including predictive modeling and machine learning. Familiarity with A/B testing methodologies and experimentation frameworks. Here is our offer Here at JET, we offer our colleagues the chance to develop More ❯

servicing. As a Data Scientist, you'll collaborate closely with cross-functional teams, including product management and engineering, to identify an integrate your findings into our operations and develop predictive models that enhance our business processes. This collaborative approach allows you to work on a variety of projects, ensuring that your contributions have a significant impact across the organisation. … trends in data science and the pet insurance industry. You'll have the opportunity to evaluate and implement new methodologies, tools, and frameworks to keep our data analysis and modelling processes at the cutting edge. Your responsibilities Manage data science projects across the business Leverage advanced statistical techniques and machine learning/AI models to identify patterns and trends … in data, providing insights to inform business strategy and decision-making. Develop predictive models to support decisions across multiple business areas, including marketing, sales, claims, retention, customer behavior, fraud detection, and customer servicing. Deploy machine learning models into production using AWS services, including SageMaker, S3, Feature Store, ensuring scalable, reliable, and monitored solutions that directly support key business processes. More ❯