176 to 200 of 236 Predictive Modelling Jobs in the UK

video, test results). Design and deploy data integration and analysis pipelines. Collaborate with engineers and product managers to bring ML features to life. Create innovative language assessments and predictive models. Optimize models for performance, scalability, and accuracy. Qualifications: Deep knowledge of neural networks (CNNs, RNNs, LSTMs, Transformers). Strong experience with data tools (Pandas, NumPy, Apache Spark). More ❯

video, test results). Design and deploy data integration and analysis pipelines. Collaborate with engineers and product managers to bring ML features to life. Create innovative language assessments and predictive models. Optimize models for performance, scalability, and accuracy. Qualifications: Deep knowledge of neural networks (CNNs, RNNs, LSTMs, Transformers). Strong experience with data tools (Pandas, NumPy, Apache Spark). More ❯

video, test results). Design and deploy data integration and analysis pipelines. Collaborate with engineers and product managers to bring ML features to life. Create innovative language assessments and predictive models. Optimize models for performance, scalability, and accuracy. Qualifications: Deep knowledge of neural networks (CNNs, RNNs, LSTMs, Transformers). Strong experience with data tools (Pandas, NumPy, Apache Spark). More ❯

video, test results). Design and deploy data integration and analysis pipelines. Collaborate with engineers and product managers to bring ML features to life. Create innovative language assessments and predictive models. Optimize models for performance, scalability, and accuracy. Qualifications: Deep knowledge of neural networks (CNNs, RNNs, LSTMs, Transformers). Strong experience with data tools (Pandas, NumPy, Apache Spark). More ❯

video, test results). Design and deploy data integration and analysis pipelines. Collaborate with engineers and product managers to bring ML features to life. Create innovative language assessments and predictive models. Optimize models for performance, scalability, and accuracy. Qualifications: Deep knowledge of neural networks (CNNs, RNNs, LSTMs, Transformers). Strong experience with data tools (Pandas, NumPy, Apache Spark). More ❯

video, test results). Design and deploy data integration and analysis pipelines. Collaborate with engineers and product managers to bring ML features to life. Create innovative language assessments and predictive models. Optimize models for performance, scalability, and accuracy. Qualifications: Deep knowledge of neural networks (CNNs, RNNs, LSTMs, Transformers). Strong experience with data tools (Pandas, NumPy, Apache Spark). More ❯

Healthcare Technology Depth: Hands-on experience with major EPR platforms (Epic, Cerner) and the vendor landscape Understanding how cloud, data platforms, and AI enable clinical transformation-population health analytics, predictive models, operational efficiency Exposure to emerging tech in healthcare: BIM, IoT, Digital Twin, Robotics Leadership & Delivery: Led multi-disciplinary architecture teams through discovery, design, and delivery Comfortable presenting architectural More ❯

a Data Scientist, you'll use your technical expertise and curiosity to uncover insights that inform key business decisions. Your day-to-day responsibilities will include: Building and deploying predictive models to anticipate customer behaviour, from purchasing patterns to life events and brand engagement. Partnering closely with CRM, marketing, engineering, and data teams to design scalable, data-led solutions … on experience with cloud platforms such as AWS, GCP, or Azure, and exposure to tools like Databricks or Dataiku. Practical knowledge of MLOps frameworks for deploying, monitoring, and retraining predictive models. Excellent communication and storytelling skills, with the ability to simplify complex concepts for non-technical audiences. A collaborative and innovative mindset, with strong stakeholder management skills and a More ❯

Location: UK Hybrid - With occasional travel to a hub Contract Type : Permanent (full time) Our Team IFRS9 and Stress Testing team work at the intersection of Data Science, Statistical Modelling and Economics within Virgin Money's Model Risk and Analytics function. We use data to support the business through model building used for regulatory reporting or providing actionable insights … from the data. We draw on statistical modelling techniques to produce the best possible predictive models. What you'll be doing Operate as a modelling expert across all modelling projects and wider business development within IFRS9 and ST team. Lead the scoping, design, development, validation and implementation of credit risk models for unsecured Retail portfolios, in … currently in operation remain robust and fit for purpose. Leading key discussions and presenting analytical findings and solutions to a range of stakeholders both within and external to the modelling area. Provide first-class model documentation and recommendation papers to governance committees. Managing a small team of analysts and responsible for their career development. We need you to have 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. 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 pricing … 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 ❯

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 ❯

Collaborate with technical and non-technical stakeholders across the business. Work within a team of data analysts, engineers, and scientists , contributing to shared knowledge. Opportunity to develop skills in predictive modeling, AI/ML, clustering, segmentation, and statistical analysis . Requirements: Strong SQL skills. Experience with BI tools such as Looker, Tableau, or equivalent. Knowledge of data warehousing, ETL … Adaptable, quick to learn domain knowledge. What Will Make You Stand Out: Proficiency in Python or other scripting languages. Experience or interest in AI/ML techniques. Familiarity with predictive modeling, clustering, or segmentation . Passion for media or entertainment is a bonus. If you would like to be considered for this role, please apply. To follow up on More ❯

team. This is a fantastic opportunity to work on high-impact projects that shape how customers interact with products and services on a global scale. Responsibilities Building and deploying predictive models to anticipate customer behaviour, from purchasing patterns to life events and brand engagement. Partnering closely with CRM, marketing, engineering, and data teams to design scalable, data-led solutions … on experience with cloud platforms such as AWS, GCP, or Azure, and exposure to tools like Databricks or Dataiku. Practical knowledge of MLOps frameworks for deploying, monitoring, and retraining predictive models. Excellent communication and storytelling skills, with the ability to simplify complex concepts for non-technical audiences. A collaborative and innovative mindset, with strong stakeholder management skills and a More ❯

will contribute to planning, execution, interpretation, validation and communication of innovative exploratory analyses and algorithms, to facilitate internal decision making. You will provide technical expertise in data science and (predictive) machine learning/AI to identify opportunities for influencing internal decision making as well as discussions on white papers/regulatory policy. You will perform hands-on analysis of … methods, variable selection methods (e.g., lasso, elastic net, random forest), design of clinical trials. Strong programming skills in R and Python. Demonstrated knowledge of data visualization, exploratory analysis, and predictive modeling. Excellent interpersonal and communication skills (verbal and writing). Ability to develop and deliver clear and concise presentations for both internal and external meetings in key decision-making More ❯

governance policies and regulations (e.g., GDPR, CCPA). Collaborate with IT and data teams to resolve data discrepancies and maintain data hygiene. Develop and manage customer segmentation models and predictive analytics to inform marketing and sales strategies. Partner with analytics teams to leverage advanced analytics capabilities. Work closely with marketing teams to create personalized, data-driven campaigns. Enable real … Strong proficiency with customer data platforms (e.g., Segment, Treasure Data, Tealium, Salesforce CDP, Adobe Experience Platform). Certification in CDP technologies or related tools. Knowledge of machine learning and predictive modelling. Appreciation of marketing automation platforms (e.g., HubSpot, Marketo). Comfortable operating in matrixed organizations and comfortable being part of cross functional teams Strong understanding of data integration processes More ❯

governance policies and regulations (e.g., GDPR, CCPA). Collaborate with IT and data teams to resolve data discrepancies and maintain data hygiene. Develop and manage customer segmentation models and predictive analytics to inform marketing and sales strategies. Partner with analytics teams to leverage advanced analytics capabilities. Work closely with marketing teams to create personalized, data-driven campaigns. Enable real … Strong proficiency with customer data platforms (e.g., Segment, Treasure Data, Tealium, Salesforce CDP, Adobe Experience Platform). Certification in CDP technologies or related tools. Knowledge of machine learning and predictive modelling. Appreciation of marketing automation platforms (e.g., HubSpot, Marketo). Comfortable operating in matrixed organizations and comfortable being part of cross functional teams Strong understanding of data integration processes More ❯

governance policies and regulations (e.g., GDPR, CCPA). Collaborate with IT and data teams to resolve data discrepancies and maintain data hygiene. Develop and manage customer segmentation models and predictive analytics to inform marketing and sales strategies. Partner with analytics teams to leverage advanced analytics capabilities. Work closely with marketing teams to create personalized, data-driven campaigns. Enable real … Strong proficiency with customer data platforms (e.g., Segment, Treasure Data, Tealium, Salesforce CDP, Adobe Experience Platform). Certification in CDP technologies or related tools. Knowledge of machine learning and predictive modelling. Appreciation of marketing automation platforms (e.g., HubSpot, Marketo). Comfortable operating in matrixed organizations and comfortable being part of cross functional teams Strong understanding of data integration processes More ❯

governance policies and regulations (e.g., GDPR, CCPA). Collaborate with IT and data teams to resolve data discrepancies and maintain data hygiene. Develop and manage customer segmentation models and predictive analytics to inform marketing and sales strategies. Partner with analytics teams to leverage advanced analytics capabilities. Work closely with marketing teams to create personalized, data-driven campaigns. Enable real … Strong proficiency with customer data platforms (e.g., Segment, Treasure Data, Tealium, Salesforce CDP, Adobe Experience Platform). Certification in CDP technologies or related tools. Knowledge of machine learning and predictive modelling. Appreciation of marketing automation platforms (e.g., HubSpot, Marketo). Comfortable operating in matrixed organizations and comfortable being part of cross functional teams Strong understanding of data integration processes More ❯

governance policies and regulations (e.g., GDPR, CCPA). Collaborate with IT and data teams to resolve data discrepancies and maintain data hygiene. Develop and manage customer segmentation models and predictive analytics to inform marketing and sales strategies. Partner with analytics teams to leverage advanced analytics capabilities. Work closely with marketing teams to create personalized, data-driven campaigns. Enable real … Strong proficiency with customer data platforms (e.g., Segment, Treasure Data, Tealium, Salesforce CDP, Adobe Experience Platform). Certification in CDP technologies or related tools. Knowledge of machine learning and predictive modelling. Appreciation of marketing automation platforms (e.g., HubSpot, Marketo). Comfortable operating in matrixed organizations and comfortable being part of cross functional teams Strong understanding of data integration processes More ❯

service development What We're Looking For: 7+ years in analytics with proven delivery leadership Strong skills in cloud data platforms (Snowflake, Azure, AWS, or GCP), SQL, and data modelling Experience with BI tools like Power BI, Tableau, or Looker Familiarity or interest in AI and data science techniques (LLMs, predictive models, automation) Consulting skills: stakeholder engagement, workshop More ❯

new capabilities. Job requirements: Preferably some experience in pricing optimisation and demand forecasting. Analytical skills to transform complex data into actionable insights aligned with business KPIs. Strong statistical and modelling skills, including time series and ensemble models. Experience in manipulating and interpreting data from disparate sources. Proficient in Python coding and core data science libraries, such as Pandas, TensorFlow … etc. Ideally previous experience with Snowflake and DBT. Experience with Cloud Computing (AWS, GCP, Azure) - Ideally in AWS. Creativity and innovative thinking to explore diverse data sources for improved predictive models. If youre interested in this role and feel you fit the requirements, apply through the AD to find out more! Data Scientist More ❯

new capabilities. Job requirements: Preferably some experience in pricing optimisation and demand forecasting. Analytical skills to transform complex data into actionable insights aligned with business KPIs. Strong statistical and modelling skills, including time series and ensemble models. Experience in manipulating and interpreting data from disparate sources. Proficient in Python coding and core data science libraries, such as Pandas, TensorFlow … etc. Ideally previous experience with Snowflake and DBT. Experience with Cloud Computing (AWS, GCP, Azure) - Ideally in AWS. Creativity and innovative thinking to explore diverse data sources for improved predictive models. If you’re interested in this role and feel you fit the requirements, apply through the AD to find out more! Data Scientist More ❯

of a close-knit group driving real change. As their Data Scientist, you'll play a key role in identifying and quantifying potential risks through data-driven strategies and predictive modelling. You'll work closely with cross-functional teams to build tools and insights that support effective risk mitigation and informed decision-making. Key Responsibilities: Develop statistical and machine … adapt to evolving risk landscapes. Requirements: Experience as a data scientist. Strong Python and SQL skills. Experience with machine learning frameworks and statistical analysis. Knowledge of LLMs and AI modelling tools. Excellent communication and problem-solving skills. Comfortable working in a fast-paced, collaborative environment. Benefits: Salary up to £70,000 depending on experience Flexible working culture Company equity More ❯

of a close-knit group driving real change. As their Data Scientist, you'll play a key role in identifying and quantifying potential risks through data-driven strategies and predictive modelling. You'll work closely with cross-functional teams to build tools and insights that support effective risk mitigation and informed decision-making. Key Responsibilities: Develop statistical and machine … adapt to evolving risk landscapes. Requirements: Experience as a data scientist. Strong Python and SQL skills. Experience with machine learning frameworks and statistical analysis. Knowledge of LLMs and AI modelling tools. Excellent communication and problem-solving skills. Comfortable working in a fast-paced, collaborative environment. Benefits: Salary up to £70,000 depending on experience Flexible working culture Company equity More ❯

of a close-knit group driving real change. As their Data Scientist, you'll play a key role in identifying and quantifying potential risks through data-driven strategies and predictive modelling. You'll work closely with cross-functional teams to build tools and insights that support effective risk mitigation and informed decision-making. Key Responsibilities: Develop statistical and machine … adapt to evolving risk landscapes. Requirements: Experience as a data scientist. Strong Python and SQL skills. Experience with machine learning frameworks and statistical analysis. Knowledge of LLMs and AI modelling tools. Excellent communication and problem-solving skills. Comfortable working in a fast-paced, collaborative environment. Benefits: Salary up to £70,000 depending on experience Flexible working culture Company equity More ❯