1 to 25 of 212 Predictive Modelling Jobs in England

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 ❯

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 ❯

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 ❯

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 ❯

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 ❯

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 ❯

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 ❯

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 ❯

skills combined with expertise in data visualization and storytelling. Key Responsibilities: Analyze audit and risk data to uncover patterns, trends, and anomalies . Develop predictive models to identify potential risk areas. Design and develop interactive dashboards using Tableau, Power BI, Looker, or Qlik. Apply statistical techniques to assess audit More ❯

services sectors to optimise operations, manage data, and drive customer loyalty. They are seeking a talented Data Scientist to analyse complex data sets, develop predictive models, and deliver actionable insights that support their cutting-edge solutions. This is an exciting opportunity to work with a forward-thinking organisation that More ❯

data science. As a Senior Data Scientist, you'll be expected to take ownership of end-to-end projects, working with large datasets, building predictive models, and applying advanced analytical techniques to solve complex business problems. The role requires someone who is comfortable with ambiguity and can deliver solutions More ❯

visibility. Automate routine reporting to improve efficiency and ensure timely insights. Data Science/Analytics: Support and lead data analytics projects, including forecasting and predictive modelling. Work closely with the BI & Data Analytics Manager on strategic analytics initiatives. Data Reporting & Analysis: Analyse financial data to identify trends, risks, and … and results-focused; committed to data quality and able to perform in fast-paced environments. Analytical: Strong analytical skills with expertise in statistical analysis, predictive modelling, and interpreting complex data to deliver actionable insights. Communication: Clear and confident communicator with the ability to explain technical concepts to non … technical stakeholders and influence through data-driven insights. Technical: Proficient in Alteryx, Power BI, SAP Analytics Cloud; experienced with Snowflake and data modelling; familiarity with R and Python highly desirable. Financial Services: Experience working in a Finance firm, preferably Wealth Manager/Private Bank/Hedge Fund. Required Qualifications More ❯