1 to 25 of 325 Predictive Modelling Jobs in the UK

If you're a Senior Data Scientist with expertise in predictive modelling, segmentation, and data automation, and you're excited about shaping the future of data in a cloud-first environment, we want to hear from you! This is a fantastic opportunity to join our client at the … an exciting time to be part of its data science team. The role. We are looking for a Senior Data Scientist with expertise in predictive modelling, segmentation, and data automation. You will Lead and optimize automated reporting pipelines, ensuring high performance and quality assurance. Build and deploy predictive models, enhancing customer behaviour forecasting and operational insights. Maintain and further develop pricing analytics models and web applications for internal stakeholders. Drive segmentation modelling projects, improving customer targeting and personalization strategies. Develop and refine data pipelines and ETL processes, enabling efficient data integration into Azure Synapse & Fabric. Play More ❯

Scientist (Industry experience in Gaming/Gambling Required) Contract 6 months Fully Remote ASAP start £500 a day/outside Ir35 - Graph Theory - Propensity modelling/Predictive Modelling - Gaming Industry Experience Desired Skills and Experience - Graph Theory - Propensity modelling/Predictive Modelling - Gaming Industry More ❯

to communicate findings effectively to stakeholders. Work closely with marketing, product, and customer success teams to provide data-driven recommendations. Utilize statistical techniques and predictive modelling to improve customer engagement and lifetime value. Extract, clean, and analyse large datasets from multiple sources (CRM, subscription platforms, Google Analytics, etc. … Experience with data visualisation tools such as Tableau, Power BI, or Looker. Strong knowledge of Excel and Google Sheets. Familiarity with statistical analysis and predictive modelling techniques. Understanding of customer lifecycle metrics and churn analysis. Excellent problem-solving skills and attention to detail. Strong communication skills with the More ❯

requires providing accurate and timely information from complex data sets providing guidance where appropriate. This involves taking a lead role in the development of predictive modelling, clinical and patient flow algorithms, statistical data analysis and analytics to support developments in data and clinical services. About us The Walton … an easy to understand format to both internal and external stakeholders about reporting requirements and information Take a lead role in the development of predictive modelling, clinical and patient flow algorithms, statistical data analysis, and analytics to support developments in both Data Services, and Clinical Data Services. Support More ❯

to qualify for this role : Knowledge and Experience; Strong basis in fundamental statistical concepts and methods and familiarity with techniques such as development of predictive equations, survival analysis (including parametric methods), longitudinal data analysis, meta-analysis, mixed treatment comparison, and other hierarchical analysis techniques. Familiarity with machine learning techniques … stacking to improve model performance Deep learning Super learners Targeted learning Target maximum likelihood estimation Target trial emulation and other causal inference applications Causal modelling Predictive modelling Feature engineering Natural language processing Large language models NB Candidates to please note that VISA sponsorship is not supported for More ❯

At Football Radar, our mission is to be the world-leading provider of football analytics. For over a decade, we have combined predictive modelling techniques with expert analysis and our proprietary datasets to deliver insights that drive success for our betting clients and football clubs. By combining the … go hand in hand. About The Role As a Quantitative Analyst on our prediction team, you will use our extensive datasets to enhance existing predictive models, research new methods, and turn your insights into production-ready solutions. This research will involve a mix of well-executed analyses and innovative … modelling to solve unique challenges in football analytics, where traditional methods often need to be adapted or reinvented. To achieve this, you will have the freedom to explore and develop your own ideas while working collaboratively with a team of quants, developers, and analysts, to combine technical expertise with More ❯

the organizations systems and processes. The team has a variety of skills and experience in technical domains such as Software development, Automation, Data-pipeline-modelling, IT project management, Data visualisation. We also pride ourselves on our close integration with non-technical/non-data teams as our success comes … GCP • Experience with Terraform • Strong Python skills • Experience with version control for data models (e.g., dbt testing frameworks, data documentation) • Demonstrated experience with data modelling concepts (dimensional modelling, star schemas) • Experience writing efficient and optimised SQL for large-scale data transformations • Understanding of data warehouse design principles and … working with large-scale spatial datasets (billions of rows) and performing geospatial at scale using BigQuery GIS or similar tools • Experience with advanced analytical modelling techniques, including statistical analysis and predictive modelling, particularly applying these to large-scale datasets to derive actionable insights • Knowledge of data governance More ❯

will blend advanced analytical skills with business acumen to deliver insights that shape strategic decisions and operational excellence. Key Responsibilities Advanced Data Analytics and Predictive Modeling Develop and implement sophisticated statistical models and machine learning algorithms to forecast trends, predict outcomes, and identify opportunities for performance enhancement. Utilize advanced More ❯

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 ❯

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 ❯

and growth through data insights, has an analytical mindset, and has problem-solving abilities, focusing on delivering actionable insights. Desirable Criteria Knowledge of data modelling techniques. Experience with advanced analytics techniques, such as predictive modelling, Mathematical prediction, and data mining. Understanding of machine learning and AI. Understanding More ❯

to work alongside senior actuaries and data scientists in a collaborative environment focused on innovation and continuous learning. Key Responsibilities Develop, maintain, and optimize predictive models for pricing, reserving, and risk management. Perform complex data analysis to support actuarial reporting and decision-making. Work closely with the actuarial team More ❯

large data sets, as well as apply mathematical, statistical, and other data-driven analysis to address intelligence questions. Proven ability in using statistical analysis, predictive modelling and explanatory modelling to identify trends. Ability to work well under pressure and achieve results within the scheduled time-frame. Excellent More ❯

actionable insights from complex crime and intelligence data, supporting data-driven decision-making in crime prevention, investigations, and public safety. This involves leveraging statistical modelling, machine learning, and other data science techniques to identify patterns, predict trends, and generate intelligence that informs policing strategies. EXPERIENCE: 5+ years of experience … to real world problems, preferably in a public sector. Good experience of working with large and complex datasets and handling sensitive data. Experience with predictive modelling, machine learning, data visualizations and dashboards. SKILLS ATTRIBUTES Proficiency in statistical modelling and machine learning techniques. This includes skills in regression More ❯

EDA) to uncover trends and patterns. Develop and apply advanced statistical and machine learning models to solve business problems, including forecasting, segmentation, optimization, and predictive modeling. Conduct rigorous data analysis, interpret results, and communicate findings to technical and non-technical audiences in a clear and compelling manner. Develop and More ❯

work in a fast-paced, dynamic environment and manage multiple priorities. Preferred Qualifications : Experience working with DBT Understanding of advanced analytics techniques such as predictive modeling. Benefits: Private Medical Insurance (London) Paid parental leave entitling primary caregivers to 16 weeks of full pay, and secondary 5 weeks of full More ❯

and patterns. Collaborate with cross-functional teams to understand business objectives and translate them into new data products. Perform data mining, statistical analysis, and predictive modelling to drive business decisions. Build data architecture and pipelines to support data products. Build predictive models for various business applications (e.g. More ❯

explain complex data concepts in an accessible way. Solid understanding of SQL, DAX and M languages for data transformation and analysis. Proficiency in data modelling techniques, including both tabular and multidimensional models, and an understanding of data lakes and Azure cloud platforms. A keen attention to detail to ensure … resonate with stakeholders and empower them to make strategic decisions. Technical Proficiency : Expertise in Power BI (including DAX and M languages), SQL, and data modelling techniques. Advanced Analytics : Familiarity with advanced analytics, including techniques like predictive modelling, regression analysis, and clustering, is a plus. Strong Communication : Exceptional More ❯

explain complex data concepts in an accessible way. Solid understanding of SQL, DAX and M languages for data transformation and analysis. Proficiency in data modelling techniques, including both tabular and multidimensional models, and an understanding of data lakes and Azure cloud platforms. A keen attention to detail to ensure … resonate with stakeholders and empower them to make strategic decisions. Technical Proficiency : Expertise in Power BI (including DAX and M languages), SQL, and data modelling techniques. Advanced Analytics : Familiarity with advanced analytics, including techniques like predictive modelling, regression analysis, and clustering, is a plus. Strong Communication : Exceptional More ❯

and actionable results. Strong PowerPoint and presentation/communication skills. Strong data visualisation skills using tools like Tableau, Spotfire, Power BI etc. Expertise in predictive modelling, including both parametric (e.g. logit/probit) and non-parametric (e.g. random forest, neural net) techniques as well as wider ML techniques More ❯

and actionable results. Strong PowerPoint and presentation/communication skills. Strong data visualisation skills using tools like Tableau, Spotfire, Power BI etc. Expertise in predictive modelling, including both parametric (e.g. logit/probit) and non-parametric (e.g. random forest, neural net) techniques as well as wider ML techniques More ❯

business intelligence efforts • Ensure scalability, performance and security of the data architecture to meet current and future needs • Lead the design and deployment of predictive models, machine learning algorithms and other advanced analytics techniques • Oversee the generation of actional insights from data to support business strategy and operations • Ensure More ❯

use datasets. Support end-users and collaborate with them to improve readiness of base datasets for modelling. Collaborate with Data Engineers, Pricing Actuaries and Predictive Modellers to deliver innovative data solutions for data-driven pricing. Develop knowledge of the company's IT landscape, data and data systems. Contribute to More ❯

skills, leveraging SQL and likely Python, coupled with exceptional problem solving skills and commercial acumen. You will employ a range of techniques across financial modelling, clustering, LTV analysis, product analytics, predictive modelling all to drive funnel conversions, optimise customer experience and support process improvement. Ultimately, we need More ❯

Board, in support of AIB's customer franchise and social responsibility. The IRB Model Development Team are responsible for the design and delivery of predictive credit risk measurement models relating to the Bank's Pillar 1 capital PD, LGD and EAD models. These models are used to determine the … and the Chief Data Office. Key accountabilities. Analysis & investigation: Undertake and guide junior data scientists in various complex data analyses, investigations and/or modelling of business issues to improve the management, services, and products of the bank. Predictive model development: Take a leading role in building predictive … years' experience in a model monitoring, model development or model validation role. Examples include IRB; IFRS 9; loss forecasting; stress testing or economic capital modelling; propensity modelling; or a combination thereof. A bachelor's degree in a quantitative analytical discipline (2.1 or higher), e.g., mathematics, applied mathematics, physics More ❯