251 to 275 of 678 Predictive Modelling Jobs in England

accuracy of immunoassay data analysis. Apply machine learning techniques, including Random Forest and neural networks, to classify sample types based on electrochemical measurements, supporting biomarker discovery Design and optimise predictive models to identify novel biomarker panels, combining healthcare data and biomarker signatures. Develop AI-driven classification models to differentiate between patient sub-types based on electrochemical sensor outputs. The … the central belt of Scotland The Successful Applicant To be successful in the role you will: PhD or MSc in Mathematics, Physics or related field Strong experience in computational modelling, data analysis, and machine learning techniques. Proficiency in Python, R, MATLAB, or other statistical programming languages. Knowledge of multivariate analysis techniques (e.g., PCA, PLS) and non-linear regression models. … Experience developing predictive machine learning algorithms (e.g., Random Forest, Neural Networks). Proficiency in SQL (preferably MySQL) and database management for engineering data storage Experience working with biomedical data science, bioinformatics or diagnostics is desired but not essential What's on Offer This is a fantastic opportunity to join an innovative and growing biotech developing cutting-edge technology. #J More ❯

a key role in driving innovation and pricing best practice, and act as a trusted expert across the business. 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 Lead the design and … tactical pricing initiatives and optimise pricing opportunities through robust analytical insights Provide strategic oversight of pricing recommendations that improve portfolio performance and meet profitability targets Collaborate with Underwriting, Technical Modelling, and Data teams to inform product development, technical model calibration, and risk cost feedback loops Manage stakeholder relationships across the business, ensuring clear communication of analytical insight and pricing … roadmap in line with our long-term strategy and growth objectives Key Skills and Experience Substantial experience within Personal Lines Pricing, ideally including team or project leadership Proficiency in predictive modelling techniques such as Logistic Regression, GBMs, Elastic Net GLMs, GAMs, Decision Trees, Random Forests, Neural Nets, and Clustering Strong skills in R, Python, PySpark, SAS, or SQL More ❯

a key role in driving innovation and pricing best practice, and act as a trusted expert across the business. 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 Lead the design and … tactical pricing initiatives and optimise pricing opportunities through robust analytical insights Provide strategic oversight of pricing recommendations that improve portfolio performance and meet profitability targets Collaborate with Underwriting, Technical Modelling, and Data teams to inform product development, technical model calibration, and risk cost feedback loops Manage stakeholder relationships across the business, ensuring clear communication of analytical insight and pricing … roadmap in line with our long-term strategy and growth objectives Key Skills and Experience Substantial experience within Personal Lines Pricing, ideally including team or project leadership Proficiency in predictive modelling techniques such as Logistic Regression, GBMs, Elastic Net GLMs, GAMs, Decision Trees, Random Forests, Neural Nets, and Clustering Strong skills in R, Python, PySpark, SAS, or SQL More ❯

individual contributor (IC) path — both well-supported in the organisation. You'll collaborate with stakeholders across marketing, product, engineering, and leadership, helping drive key decisions through analytics, experimentation, and predictive modelling. Your work will be highly visible and make a tangible impact on customer experience, commercial performance, and strategic planning. Initial Focus Areas Marketing & Channel Measurement - Understand and optimise … marketing investments and channel performance. User Engagement & Churn - Analyse behaviours to drive customer retention and lifetime value. Forecasting & Predictive Modelling - Build models that inform planning, budgeting, and strategic decision-making. Commercial Opportunity Identification - Partner with commercial teams to surface high-value growth opportunities across key markets. Your Skills and Experience: We're looking for a pragmatic and commercially More ❯

individual contributor (IC) path — both well-supported in the organisation. You'll collaborate with stakeholders across marketing, product, engineering, and leadership, helping drive key decisions through analytics, experimentation, and predictive modelling. Your work will be highly visible and make a tangible impact on customer experience, commercial performance, and strategic planning. Initial Focus Areas Marketing & Channel Measurement - Understand and optimise … marketing investments and channel performance. User Engagement & Churn - Analyse behaviours to drive customer retention and lifetime value. Forecasting & Predictive Modelling - Build models that inform planning, budgeting, and strategic decision-making. Commercial Opportunity Identification - Partner with commercial teams to surface high-value growth opportunities across key markets. Your Skills and Experience: We're looking for a pragmatic and commercially More ❯

learning, experimentation, and the development of production-grade models. Sitting within a cross-functional data team, this is a hands-on leadership role with the autonomy to shape the modelling roadmap, contribute to R&D strategy, and influence pricing and risk decisions across multiple business lines. You’ll manage a small team of data scientists, guiding them through delivery … outcomes in a data-rich, regulated environment. Key Responsibilities Lead a high-performing team of data scientists to deliver cross-functional, impactful AI/ML initiatives Design and implement predictive models and machine learning solutions for core business areas Build and productionise models in collaboration with data engineers and platform teams Apply advanced statistical techniques to extract insights and … guide product and pricing strategies Work closely with stakeholders to understand requirements, define modelling goals, and demonstrate business value Evaluate vendor data sources, assess economic and technical feasibility, and lead test-and-learn initiatives Contribute to the modelling roadmap, experimentation frameworks, and internal data science tooling Produce clean, maintainable, version-controlled code and refactor solutions into reusable libraries More ❯

learning, experimentation, and the development of production-grade models. Sitting within a cross-functional data team, this is a hands-on leadership role with the autonomy to shape the modelling roadmap, contribute to R&D strategy, and influence pricing and risk decisions across multiple business lines. You’ll manage a small team of data scientists, guiding them through delivery … outcomes in a data-rich, regulated environment. Key Responsibilities Lead a high-performing team of data scientists to deliver cross-functional, impactful AI/ML initiatives Design and implement predictive models and machine learning solutions for core business areas Build and productionise models in collaboration with data engineers and platform teams Apply advanced statistical techniques to extract insights and … guide product and pricing strategies Work closely with stakeholders to understand requirements, define modelling goals, and demonstrate business value Evaluate vendor data sources, assess economic and technical feasibility, and lead test-and-learn initiatives Contribute to the modelling roadmap, experimentation frameworks, and internal data science tooling Produce clean, maintainable, version-controlled code and refactor solutions into reusable libraries More ❯

learning, experimentation, and the development of production-grade models. Sitting within a cross-functional data team, this is a hands-on leadership role with the autonomy to shape the modelling roadmap, contribute to R&D strategy, and influence pricing and risk decisions across multiple business lines. You’ll manage a small team of data scientists, guiding them through delivery … outcomes in a data-rich, regulated environment. Key Responsibilities Lead a high-performing team of data scientists to deliver cross-functional, impactful AI/ML initiatives Design and implement predictive models and machine learning solutions for core business areas Build and productionise models in collaboration with data engineers and platform teams Apply advanced statistical techniques to extract insights and … guide product and pricing strategies Work closely with stakeholders to understand requirements, define modelling goals, and demonstrate business value Evaluate vendor data sources, assess economic and technical feasibility, and lead test-and-learn initiatives Contribute to the modelling roadmap, experimentation frameworks, and internal data science tooling Produce clean, maintainable, version-controlled code and refactor solutions into reusable libraries More ❯

budgeted performance. Direct the data & insights self-serve strategy, ensuring dashboards meet business stakeholder needs and minimize manual intervention. Lead the development and deployment of advanced analytics solutions, including predictive modelling (Propensity to churn/buy et al), machine learning, and statistical tools. Ensure rigorous testing and validation of analytics deliverables for accuracy and reliability. Collaborate with cross … Proven experience in leading data and analytics teams in a corporate environment. Strong knowledge of data governance principles, business intelligence tools, and advanced analytics techniques. Expertise in statistical methods, predictive modelling, and machine learning. Excellent communication and stakeholder management skills, with the ability to influence decision-making at a senior level. Project management experience, with a track record More ❯

complex business challenges, designing scientific solutions, working large and small data sets (including 3rd party and internal data of a wide variety), using cutting-edge machine learning or statistical modelling techniques to derive insights Work collaboratively with data scientists, data engineers and other technical people including pricing teams in order to help support maturation of analytics practice within the … the task. Familiarity with version control and other IT delivery tools is required Understanding/identifying opportunity to apply machine learning knowledge to solve business problems Experience in developing predictive and prescriptive analysis (predictive modelling, machine learning or data mining) used to draw key business insights and clearly articulate findings for target audience Exceptional written communications skills More ❯

Robert Walters is proud to partner with Trident Intelligent Solutions a local, data-driven technology firm, to appoint their next Data Scientist. Trident empowers their clients through intelligent & predictive analytics, currently focused on delivering impactful insights in the water industry. Partnering with Trident offers their clients a new perspective on how to gain the best out of their data … for an experienced Data Scientist to join their growing team of 10 talented individuals. In the first 3–4 months you will focus on a key client engagement, building predictive models that enhance water system management. Your work will play a critical role in predicting leaks and bursts, forecasting leak rates, and anticipating customer demand—delivering real-world value … of juniors. Further down the line, this role will then look to expand its responsibilities into other client accounts & tasks. Some Key Responsibilities of the Role: Design and deploy predictive models for leak and burst detection in water networks. Perform time-series forecasting of customer demand and leak rates. Collaborate with engineers, analysts, and stakeholders to translate requirements into More ❯

learning, experimentation, and the development of production-grade models. Sitting within a cross-functional data team, this is a hands-on leadership role with the autonomy to shape the modelling roadmap, contribute to R&D strategy, and influence pricing and risk decisions across multiple business lines. You’ll manage a small team of data scientists, guiding them through delivery … outcomes in a data-rich, regulated environment. Key Responsibilities Lead a high-performing team of data scientists to deliver cross-functional, impactful AI/ML initiatives Design and implement predictive models and machine learning solutions for core business areas Build and productionise models in collaboration with data engineers and platform teams Apply advanced statistical techniques to extract insights and … guide product and pricing strategies Work closely with stakeholders to understand requirements, define modelling goals, and demonstrate business value Evaluate vendor data sources, assess economic and technical feasibility, and lead test-and-learn initiatives Contribute to the modelling roadmap, experimentation frameworks, and internal data science tooling Produce clean, maintainable, version-controlled code and refactor solutions into reusable libraries More ❯

around 18 months to complete and will cover key areas such as: Analytics lifecycles Data democratisation SQL data extraction Advanced data joins Advanced visualisation of data Statistical programming languages Predictive modelling and forecasting Statistics in analysis Creating and delivering a great data product Key Details Vacancy Title Data Analyst Apprentice Employer Description At Lloyds Banking Group, we're More ❯

around 18 months to complete and will cover key areas such as: Analytics lifecycles Data democratisation SQL data extraction Advanced data joins Advanced visualisation of data Statistical programming languages Predictive modelling and forecasting Statistics in analysis Creating and delivering a great data product Key Details Vacancy Title Data Analyst Apprentice Employer Description At Lloyds Banking Group, we're More ❯

around 18 months to complete and will cover key areas such as: Analytics lifecycles Data democratisation SQL data extraction Advanced data joins Advanced visualisation of data Statistical programming languages Predictive modelling and forecasting Statistics in analysis Creating and delivering a great data product Key Details Vacancy Title Data Analyst Apprentice Employer Description At Lloyds Banking Group, we're More ❯

around 18 months to complete and will cover key areas such as: Analytics lifecycles Data democratisation SQL data extraction Advanced data joins Advanced visualisation of data Statistical programming languages Predictive modelling and forecasting Statistics in analysis Creating and delivering a great data product Key Details Vacancy Title Data Analyst Apprentice Employer Description At Lloyds Banking Group, we're More ❯

data scientists, data analysts, and product managers building and evolving ML models, real-time systems, reports, and performing deep analysis of pricing, retention, and offer strategies. Working with advanced predictive models, MLOps best practices, and scalable software systems, you will implement and evolve intelligent solutions to align Teya with the success of our customers. In this role, you'll … improving through experimentation advanced machine learning models. Working on projects including but not limited to customer lifetime value, churn propensity, forecasting, risk, cost-to-serve and cost-to-acquire modelling Building predictive models to a production level adopting best practices for coding, deployment, monitoring, and experimentation. Your Story Background in a quantitative field (Computer Science, Mathematics, Machine Learning More ❯

around 18 months to complete and will cover key areas such as: Analytics lifecycles Data democratisation SQL data extraction Advanced data joins Advanced visualisation of data Statistical programming languages Predictive modelling and forecasting Statistics in analysis Creating and delivering a great data product Key Details Vacancy Title Data Analyst Apprentice Employer Description At Lloyds Banking Group, we're More ❯

D2C markets, providing food solutions to institutions and individuals. With over 30 years of experience and a presence in 400 markets, it leverages data-driven insights, forensic analytics, and predictive modelling to enhance business performance. The Role The team is responsible for making data reliable, consistent, persistent, and available for analysts through self-service platforms such as Tableau More ❯

around 18 months to complete and will cover key areas such as: Analytics lifecycles Data democratisation SQL data extraction Advanced data joins Advanced visualisation of data Statistical programming languages Predictive modelling and forecasting Statistics in analysis Creating and delivering a great data product Key Details Vacancy Title Data Analyst Apprentice Employer Description At Lloyds Banking Group, we're More ❯

that drive media efficiency Demonstrate a questioning mindset, research and apply a wide range of data science methodologies. Able to identify and resolve data issues Use Python to create predictive models - analyse wide range of data and build trends and behavioural predictions Work closely with business (Product Team and Stakeholders) to translate business requests, questions and concerns into successful … deliver technical products and data solutions Understanding of Media Planning, preferably within AdTech Experience of working in large global enterprises in delivering data-driven solutions Experience with agent-based modelling solutions Choreograph is WPP's global data products and technology company fueling growth for the world's most admired brands. Discover more about Choreograph at (Please note this is More ❯

technical skills in SQL, Python, R, SAS or similar Strong experience of Marketing Cloud and Salesforce Experience of a wide range of statistical techniques such as segmentation, regression and predictive modelling as well as having the ability to communicate complex analysis to internal and external stakeholders Ability to present, explain and interpret data or analysis to non-technical More ❯

multiple Decision Trees that will predict the best model. And finally based on the root mean square error(RMSE), it will aggregate the best model or choose the best predictive model. In Random Forest Process, we have some base learner models like M1, M2, M3 .. Mn . These base learner model are called Decision Trees . Each decision … type as compute cluster Select Azure ML compute cluster compute1 (if not pre built , you need to create new one) Click on Next Now, we need to provide the modelling technique or algorithm on which our model work. In dataset we have Y column which consists of continuous numerical values so we will select Regression here Click on Next More ❯

and performance Strategy Optimisation: Conduct impact assessments on credit strategies and recommend enhancements to improve decision-making Cross-functional Collaboration: Partner with Product, Engineering, and Data Science to develop predictive models, build product features, and refine risk processes Collections Strategy: Support collections and recovery initiatives with data-backed insights and strategy development Requirements Proven experience in decision science, credit … risk analytics, data modelling and AI, ideally within financial services or fintech Strong understanding of risk disciplines including unit profitability evaluation, pricing, risk appetite setting, and credit policy design Experience with B2B/SME lending is highly desirable, though not essential Demonstrated ability to influence and collaborate with cross-functional teams and senior stakeholders Strong leadership and people management More ❯

and drive growth. Develop strategies leveraging data science for decision-making in investment, trading, and other quantitative domains, aligning with clients' business goals. Utilize advanced analytics, machine learning, and predictive modeling to interpret market signals and forecast trends, providing clients with a competitive edge. Strengthen client relationships to sustain Accenture's profile as a trusted advisor and partner. Support … ve worked in commodity marketing and trading. You have strong quantitative skills, including familiarity with Excel/VBA , R, and/or Python and their respective data manipulation, statistical modelling, and visualization packages. What's in it for you: You'll be doing work in the forefront of the commodity trading industry, working hand-in-hand with executives on More ❯