251 to 275 of 289 Predictive Modelling Jobs in England

external and internal data. Key Responsibilities Develop and enhance market models to improve competitive positioning. Analyze external market trends and competitor behaviours to build predictive models that inform pricing strategy. Apply advanced statistical and machine learning techniques, including generalized linear models (GLMs), gradient boosting, and deep learning, to extract … performance and conduct regular validation to ensure accuracy, robustness, and compliance with regulatory requirements. Lead innovation initiatives, including testing new data sources and advanced modelling techniques. Mentor junior data scientists and analysts, fostering a culture of technical excellence and innovation. Key Skills & Experience Strong expertise in statistical modelling and machine learning techniques (GLMs, GBMs, neural networks, etc.). Experience in pricing or market modelling, preferably in insurance. Proficiency in Python and SQL for data analysis and model development. Hands-on experience with machine learning frameworks (XGBoost, LightGBM, etc.). Strong understanding of market dynamics, elasticity modeling More ❯

start-up. La Fosse have partnered with a well-funded SaaS company that is transforming workforce management through cutting-edge AI-driven forecasting and predictive models. The platform helps businesses optimise staffing based on predicted sales, leveraging data from multiple sources such as weather patterns, events, and historical trends. … in refining the models. Key Responsibilities: Develop and refine forecasting models to predict daily sales patterns. Integrate external factors (e.g., weather, sporting events) into predictive analytics. Provide technical expertise on model development and implementation. Optimise model performance for real-world business impact. Ideal requirements: 2-10 years' experience in … data science and predictive modelling. Strong background in revenue forecasting, demand prediction, or similar fields. Proficiency in Python, SQL, AWS and experience with ML frameworks. Experience in Computer Vision is a plus. Strong academic background (master's from Cambridge, UCL, Imperial, or similar preferred). Why Join? Be part More ❯

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 … 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 More ❯

Science expertise will be integral to optimizing pricing and marketing strategies. You'll be joining a team to be involved in the development of predictive models, analysing datasets, A/B testing, and collaborating with cross-functional teams. The ideal candidate will be a detail-orientated and proactive individual … to gather data requirements and share your insights across the company. Create dashboards, reports and visualizations to present to stakeholders. Build, deploy and maintain predictive models using machine learning and optimization techniques Analyse large datasets to implement data-driven strategies Design and conduct A/B Testing to refine More ❯

Job Title: Modelling & Simulation Engineer – Formula E Reports To : Head of Performance Direct Reports : None Role Purpose: To develop and use our vehicle and energy management simulation tools in order to maximise performance. Job Responsibilities: As a full time, permanent Modelling & Simulation Engineer you will: Develop advanced vehicle … vehicle performance. Write in-house software applications to optimise our in-car energy management strategy. Use the latest methods in Machine Learning to produce predictive models for vehicle systems. Improve the performance and accuracy of existing models and algorithms. Continually research simulation methods to ensure our models and algorithms More ❯

looking for Customer Data Scientists to harness audience data, enhance engagement, and support smarter, data-led decision-making. Role/Responsibilities: Develop and deploy predictive models focused on customer behaviour, loyalty, and segmentation Analyse user journeys across digital and audio platforms to improve customer engagement Support revenue optimisation by … experience: Proficiency in SQL and Python Solid experience in customer or product analytics Hands-on expertise in A/B testing, experimentation, and uplift modelling Strong analytical and problem-solving skills, with the ability to distil complex data into actionable insights Background in media, gambling, or digital B2C environments More ❯

looking for Customer Data Scientists to harness audience data, enhance engagement, and support smarter, data-led decision-making. Role/Responsibilities: Develop and deploy predictive models focused on customer behaviour, loyalty, and segmentation Analyse user journeys across digital and audio platforms to improve customer engagement Support revenue optimisation by … experience: Proficiency in SQL and Python Solid experience in customer or product analytics Hands-on expertise in A/B testing, experimentation, and uplift modelling Strong analytical and problem-solving skills, with the ability to distil complex data into actionable insights Background in media, gambling, or digital B2C environments More ❯

at turning data into actionable insights and aren't afraid to roll up your sleeves. Essential skills & experience 5+ years in targeting and segmentation modelling, ideally with pricing experience. Proven success in CRM campaigns (B2C/B2B, e.g., FinTech, retail, or travel). Proficient in Python, R, or similar … data science tasks. Experience with CRM platforms (e.g., HubSpot) and cloud tools (AWS, GCP, or Azure). Skilled in A/B testing and predictive modelling. Degree in a quantitative field (e.g., Maths, Stats, Computer Science). Ability to work independently in ambiguous, fast-paced settings. Desirable Familiarity with More ❯

Company: A super interesting start-up that is on a mission to take on some of the most complex challenges in the field of predictive models, fraud detection, and AI-powered insights. What You’ll Do: As a Senior Data Scientist, you will own the product and lead the … to create actionable insights Working with large documents, data infrastructure, and containerization Investigating fraud and ethics reports, transforming raw data into meaningful insights Developing predictive models that go beyond the basics, focusing on real-world applications Using Python to build robust, scalable solutions About You: You have experience as … a Data Scientist, preferably at a start-up or fast-growing company You have a deep understanding of ML, NLP, graph databases, and predictive modeling You can work independently and enjoy taking ownership of your projects You’re not just a theorist, you can build solutions and make things More ❯

Company: A super interesting start-up that is on a mission to take on some of the most complex challenges in the field of predictive models, fraud detection, and AI-powered insights. What You’ll Do: As a Senior Data Scientist, you will own the product and lead the … to create actionable insights Working with large documents, data infrastructure, and containerization Investigating fraud and ethics reports, transforming raw data into meaningful insights Developing predictive models that go beyond the basics, focusing on real-world applications Using Python to build robust, scalable solutions About You: You have experience as … a Data Scientist, preferably at a start-up or fast-growing company You have a deep understanding of ML, NLP, graph databases, and predictive modeling You can work independently and enjoy taking ownership of your projects You’re not just a theorist, you can build solutions and make things More ❯

advanced analytics, utilizing technology and automation to significantly enhance risk identification, assessment, and response capabilities. Key responsibilities include designing robust data integration systems, implementing predictive risk models, and driving technological innovation to ensure risk insights are timely, accurate, and strategically actionable Key job responsibilities • Lead strategic innovation projects, including … GRMR's risk, resilience, and business continuity capabilities. • Collaborate on optimizing risk data pipelines ensuring accurate global and regional risk insights. • Integrate advanced analytics, predictive modeling, AI, and machine learning to enhance risk assessment accuracy, streamline processes, and support real-time monitoring. • Collaborate closely with global and regional stakeholders More ❯

SCIENCE ANALYST £32,000 - £40,000 LEEDS A well-established financial services organisation is hiring a Decision Science Analyst to support the development of predictive models across strategy, pricing, litigation, and forecasting. This is a hands-on analytics role, ideal for someone looking to apply statistical and machine learning … that shape key business decisions. THE ROLE As a Decision Science Analyst, your day-to-day responsibilities include but are not limited to: Building predictive models using machine learning methods to improve forecasting and performance across key areas Presenting findings and translating complex analysis into actionable insights for senior … outcomes Supporting strategy development through the delivery of robust, scalable analytical tools Collaborating with analysts to share best practices and enhance the team’s modelling capabilities SKILLS AND EXPERIENCE Experience developing credit risk models using logistic regression or similar Knowledge of machine learning approaches such as random forest and More ❯

and closely with the business teams to identify and execute data science use cases. You will be responsible for enhancing machine learning methods, creating predictive models for customer behaviour, energy consumption, and extracting valuable insights from trading data. Data Scientist Here's what you'll be doing Conduct in … depth analysis of customer behaviour and portfolio. Prepare data meticulously for modelling and analysis. Collaborate with business and data owners to identify data science opportunities. Interpret and present analytical findings effectively. Engage stakeholders in data delivery automation. Inspire the business with new data management capabilities. Enhance internal data solutions More ❯

As a Data Scientist, you will develop sophisticated algorithms and predictive models, leveraging a broad spectrum of techniques from mathematical and statistical methods to advanced machine learning approaches. You will be working alongside DevOps and software development teams to ensure seamless integration and efficacy of your models to our … offices a minimum of 3-4 days per week as per our hybrid working policy. Key Responsibilities Data Science & Software Development Craft and refine predictive models using a diverse array of methods, including but not limited to linear programming, heuristic algorithms, and machine learning techniques. Solve complex problems using … Python and R, including libraries like Numpy, Pandas, Pytorch and Scikit-learn. Demonstrable experience in data science and a proven track record in developing predictive models. Experience contributing to a software project/product. Experience with databases. In addition, any experience in the following would be beneficial: A post More ❯

our company’s internal and external performance using machine learning capabilities and tooling. This will span from building tooling for our teams’ workflows to predictive analytics on our vast amounts of video data. You must be organised to ensure deadlines are met, and willing to take on new challenges. … holds massive future potential for growth. As a machine learning engineer, your role will involve: Exploring and analysing our data to identify trends and predictive models that will optimise our video’s performance; Building Interactive Dashboards for Data Visualisation and Analysis.; Fine-tuning large language models (e.g. GPT More ❯

our company’s internal and external performance using machine learning capabilities and tooling. This will span from building tooling for our teams’ workflows to predictive analytics on our vast amounts of video data. You must be organised to ensure deadlines are met, and willing to take on new challenges. … holds massive future potential for growth. As a machine learning engineer, your role will involve: Exploring and analysing our data to identify trends and predictive models that will optimise our video’s performance; Building Interactive Dashboards for Data Visualisation and Analysis.; Fine-tuning large language models (e.g. GPT More ❯

no one has done before. At Amazon Web Services (AWS), we are helping large enterprises build AI solutions on the AWS Cloud. We apply predictive technology to large volumes of data across a wide spectrum of problems. AWS Professional Services works together with AWS customers to address their business … Teams. Assist customers in delivering AI/data projects from beginning to end, including understanding the business need, aggregating data, exploring data, building & validating predictive models, and deploying completed models with concept-drift monitoring and retraining to deliver business impact. Collaborate with other Professional Services consultants (GenAI, Big Data More ❯

Insurtech startup that is transforming insurance pricing and reserving with transparent machine learning. Our SaaS platform leverages the power of transparent machine learning and predictive analytics to inject game-changing speed, performance and reliability into insurers’ pricing and reserving processes. Powered by skilled R&D, Product & Actuarial teams we … unprecedented way. This results in a pricing solution which not only allows insurance companies to model their risks 10 times faster, with a higher predictive power than traditional methods, but which also incorporates next generation reserving functionalities, helping to predict and legislate for future claims, therefore constituting a major … Ability to understand insurance business imperatives and establish solutions in accordance with them ; A strong understanding of Data Science and Machine Learning techniques for predictive modeling ; Experience in actuarial data-driven predictive modeling (GLMs/GAMs) & risk analysis in a P&C/General insurance pricing role ; Strong More ❯

Insurtech startup that is transforming insurance pricing and reserving with transparent machine learning. Our SaaS platform leverages the power of transparent machine learning and predictive analytics to inject game-changing speed, performance and reliability into insurers’ pricing and reserving processes. Powered by skilled R&D, Product & Actuarial teams we … unprecedented way. This results in a pricing solution which not only allows insurance companies to model their risks 10 times faster, with a higher predictive power than traditional methods, but which also incorporates next generation reserving functionalities, helping to predict and legislate for future claims, therefore constituting a major … Ability to understand insurance business imperatives and establish solutions in accordance with them ; A strong understanding of Data Science and Machine Learning techniques for predictive modeling ; Experience in actuarial data-driven predictive modeling (GLMs/GAMs) & risk analysis in a P&C/General insurance pricing role ; Strong More ❯

Insurtech startup that is transforming insurance pricing and reserving with transparent machine learning. Our SaaS platform leverages the power of transparent machine learning and predictive analytics to inject game-changing speed, performance and reliability into insurers' pricing and reserving processes. Powered by skilled R&D, Product & Actuarial teams we … unprecedented way. This results in a pricing solution which not only allows insurance companies to model their risks 10 times faster, with a higher predictive power than traditional methods, but which also incorporates next generation reserving functionalities, helping to predict and legislate for future claims, therefore constituting a major … Consultant or Data Scientist etc.); IFoA credentials are preferred (but not obligatory). A strong understanding of Data Science and Machine Learning techniques for predictive modeling ; Experience in actuarial data-driven predictive modeling (GLMs/GAMs) & risk analysis in a P&C/General insurance pricing role ; Ability More ❯

own the technical solutions, identifying further opportunities to deliver value. Search optimisation - vector embedding of search terms and product items Deep learning and regression modelling for product profitability forecasts Work closely with data engineering and software development teams to define technical requirements and ensure timely delivery. Analyse large volumes … of data from various sources, including transactional, demographic, and online data, to build predictive models. Apply machine learning techniques to personalise customer experiences and optimise content presentation. Design and execute robust testing strategies to validate hypotheses and measure commercial impact. Present insights and recommendations to senior stakeholders, including C More ❯

own the technical solutions, identifying further opportunities to deliver value. Search optimisation - vector embedding of search terms and product items Deep learning and regression modelling for product profitability forecasts Work closely with data engineering and software development teams to define technical requirements and ensure timely delivery. Analyse large volumes … of data from various sources, including transactional, demographic, and online data, to build predictive models. Apply machine learning techniques to personalise customer experiences and optimise content presentation. Design and execute robust testing strategies to validate hypotheses and measure commercial impact. Present insights and recommendations to senior stakeholders, including C More ❯

own the technical solutions, identifying further opportunities to deliver value. Search optimisation - vector embedding of search terms and product items Deep learning and regression modelling for product profitability forecasts Work closely with data engineering and software development teams to define technical requirements and ensure timely delivery. Analyse large volumes … of data from various sources, including transactional, demographic, and online data, to build predictive models. Apply machine learning techniques to personalise customer experiences and optimise content presentation. Design and execute robust testing strategies to validate hypotheses and measure commercial impact. Present insights and recommendations to senior stakeholders, including C More ❯

own the technical solutions, identifying further opportunities to deliver value. Search optimisation - vector embedding of search terms and product items Deep learning and regression modelling for product profitability forecasts Work closely with data engineering and software development teams to define technical requirements and ensure timely delivery. Analyse large volumes … of data from various sources, including transactional, demographic, and online data, to build predictive models. Apply machine learning techniques to personalise customer experiences and optimise content presentation. Design and execute robust testing strategies to validate hypotheses and measure commercial impact. Present insights and recommendations to senior stakeholders, including C More ❯

own the technical solutions, identifying further opportunities to deliver value. Search optimisation - vector embedding of search terms and product items Deep learning and regression modelling for product profitability forecasts Work closely with data engineering and software development teams to define technical requirements and ensure timely delivery. Analyse large volumes … of data from various sources, including transactional, demographic, and online data, to build predictive models. Apply machine learning techniques to personalise customer experiences and optimise content presentation. Design and execute robust testing strategies to validate hypotheses and measure commercial impact. Present insights and recommendations to senior stakeholders, including C More ❯