476 to 500 of 792 Predictive Modelling Jobs in England

significance testing). You have strong mathematics skills, especially in statistics, to create algorithms. This includes demonstrated experience with common ML techniques for deep data mining and exploration (e.g. predictive modeling, time series modeling, classification, and clustering techniques). Understand how to determine the right machine learning algorithms for a given task and evaluate their performance, including understanding the More ❯

analysis and data mining strategies, extracting valuable insights from diverse data sources. Harnessing the power of natural language processing (NLP) techniques to extract pertinent information from textual data. Formulating predictive models to anticipate future trends, enabling informed decision-making. Constructing automated ML workflows and integrating CI/CD practices to ensure seamless model deployment and recurrent refinement. Architecting, deploying More ❯

and taking care of our planet. Join us and help shape the future of agriculture. Job Description At Syngenta Crop Protection, there has been significant focus and investment in predictive science and digital transformation, revolutionizing research and development for sustainable food production. We have recently developed PRIME, a cutting-edge predictive modelling platform, and we are seeking … a talented individual to lead its success. As the Modelling Platform Science Lead, you will provide strategic direction, guide technical and scientific governance, and bridge the gap between the R&D expert modelling community and R&D IT. Your role involves supporting diverse modelling communities across R&D, identifying new opportunities for model deployment at scale, and … overall success of the platform, providing strategic direction and guiding technical and scientific governance aspects. If you are passionate about science and innovation, with expertise in data science and predictive modelling, join us and become part of a dynamic network of data science practitioners contributing to the success of our organisation. What are we looking for? Background in More ❯

We are looking for a pricing practitioner, with experience in the UK and French general insurance markets mainly in personal lines commercial lines experience is considered a plus, to join Willis Towers Watson ICT Consulting as a consultant in our More ❯

bonus (paid biannually) + benefits Location: Central London - 5 days a week onsite but very flexible Join a successful growing sports trading firm as a Quantitative Analyst, working on predictive modelling and global trading strategies across football, cricket, US sports, and more. ROLE AND RESPONSIBILITIES Join a close-knit, high-performing technical team of ~20 within a … person investment trading business Develop predictive models to forecast outcomes of global sporting events Work in a flexible, fluid structure with strong autonomy, ownership, and work-life balance Collaborate cross-functionally across teams and contribute to an innovative, evolving research environment Take advantage of a unique benefits culture – including gym access during work hours and strong team retention SKILLS … strong candidates from 3 years) Excellent tenure: ideally 3–5 years at previous companies Strong programming skills in Python (R also a plus) Deep understanding of mathematical/statistical modelling Interest in sports – background in sports trading is a bonus, but not required Strong problem-solving mindset with the ability to reason through complex tasks No experience in credit More ❯

bonus (paid biannually) + benefits Location: Central London - 5 days a week onsite but very flexible Join a successful growing sports trading firm as a Quantitative Analyst, working on predictive modelling and global trading strategies across football, cricket, US sports, and more. ROLE AND RESPONSIBILITIES Join a close-knit, high-performing technical team of ~20 within a … person investment trading business Develop predictive models to forecast outcomes of global sporting events Work in a flexible, fluid structure with strong autonomy, ownership, and work-life balance Collaborate cross-functionally across teams and contribute to an innovative, evolving research environment Take advantage of a unique benefits culture – including gym access during work hours and strong team retention SKILLS … strong candidates from 3 years) Excellent tenure: ideally 3–5 years at previous companies Strong programming skills in Python (R also a plus) Deep understanding of mathematical/statistical modelling Interest in sports – background in sports trading is a bonus, but not required Strong problem-solving mindset with the ability to reason through complex tasks No experience in credit 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 agility of a start-up with the stability of an … innovation and long-term success 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 … smart, ambitious people who enjoy solving challenging problems, and are able to make pragmatic decisions in a dynamic environment. More specifically, you should have: 3+ years of experience applying predictive modelling, machine learning, and probability theory, preferably in sports or gaming/betting industries Familiarity with techniques such as Monte Carlo simulation, Bayesian modelling, mixed effects models More ❯

UK-based function within the Audio Division , acting as a strategic partner across digital, revenue, and marketing. You'll help shape the organisation’s data vision while leading on predictive modelling, experimentation, and insight delivery at scale. 🧩 What you’ll be doing: Build and lead a team of data scientists, analysts, and BI engineers Own the strategy for … how data is used to drive growth, engagement, and commercial outcomes Deliver predictive models to optimise audience targeting, content strategy, and advertising revenue Develop analytics products and tooling to support multiple business units Act as a key point of contact for European stakeholders and cross-functional teams Translate complex data into actionable insight for both technical and non-technical … audiences 🔍 Key skills & experience: Strong expertise in SQL and Python Proven experience building and deploying statistical and predictive models Experience leading high-performing data science or advanced analytics teams Track record of influencing strategy through data Engaging, collaborative, and able to lead with clarity and confidence HOW TO APPLY Please register your interest by sending your CV to Lauren More ❯

UK-based function within the Audio Division , acting as a strategic partner across digital, revenue, and marketing. You'll help shape the organisation’s data vision while leading on predictive modelling, experimentation, and insight delivery at scale. ? What you’ll be doing: Build and lead a team of data scientists, analysts, and BI engineers Own the strategy for … how data is used to drive growth, engagement, and commercial outcomes Deliver predictive models to optimise audience targeting, content strategy, and advertising revenue Develop analytics products and tooling to support multiple business units Act as a key point of contact for European stakeholders and cross-functional teams Translate complex data into actionable insight for both technical and non-technical … audiences Strong expertise in SQL and Python Proven experience building and deploying statistical and predictive models Experience leading high-performing data science or advanced analytics teams Track record of influencing strategy through data Engaging, collaborative, and able to lead with clarity and confidence HOW TO APPLY Please register your interest by sending your CV to Lauren McAlister via the More ❯

departments to support internal processes and strategic goals. Main Skills/Requirements: Proven experience in AI, specifically Large Model (LLM). Proven experience with AWS, Python, SQL, and statistical modelling; skilled in integrating LLMs into cloud-based pipelines. Ability to apply NLP and data science techniques to real-world academic and sustainability data sets. Demonstrates rigorous attention to detail … especially in prompt engineering and evaluation of semantic outputs. Experience with Machine Learning or Predictive Modelling would be desirable. Familiarity with DataBricks, higher education/research data, sustainability metrics, and qualitative-to-quantitative analysis would be desirable. How you'll be rewarded: Hybrid working Career Progression Programme Mentorship Scheme Private Healthcare #J-18808-Ljbffr More ❯

investments and ambitious growth plans, they are looking for a Data Scientist to join the team. The Role: Analyse behavioural datasets to uncover insights and patterns. Design and train predictive models based on user interactions, decision flows, and sequences. Apply machine learning and deep learning techniques to simulate and anticipate behaviour. Collaborate with the wider AI/ML engineers … and team. Develop and implement scalable data pipelines and experimentation frameworks. Translate business and product questions into data-driven solutions. Stay on top of emerging trends in behavioural modelling, reinforcement learning, and cognitive AI. What we are looking for: 2+ years of experience in data science or machine learning roles. Strong knowledge of behaviour biometrics or sensor-based or … time series data. Solid Python skills (Pandas, NumPy, Scikit-learn, TensorFlow or PyTorch). Experience with time-series data or sensor-based or behavioural biometric data, and sequential modelling (e.g., LSTMs, Transformers). Comfortable working with SQL and data visualisation tools. Startup mindset: entrepreneurial, independent, adaptable, and collaborative. Seniority level Mid-Senior level Employment type Full-time Job function More ❯

and effective communication. Continuously improve the product lifecycle, model pipelines, and development processes to enable rapid innovation. What We're Looking For Proven track record in pricing analytics , valuation modelling , or similar domains. Strong hands-on experience developing ML solutions in Python . Experience managing and growing high-performing data science teams. Ability to build and communicate complex solutions … to stakeholders across different levels and disciplines. Proficiency working with modern cloud-based tools (e.g., Azure ML , Databricks , Snowflake , SageMaker , etc.). Deep knowledge of machine learning techniques including predictive modelling, pattern recognition, and optimisation. Strong stakeholder management and product ownership skills. Experience with CI/CD tools such as Azure DevOps Pipelines or GitHub Actions. Exposure to … Marketing Data Science (e.g., Marketing Mix Modelling, Multi-Touch Attribution) or Operational Research . Experience working in an Agile development environment. What You'll Gain The chance to lead a strategically critical function with high visibility across the organisation. Dedicated time and support to grow your skills as a people manager and strategic leader. A flexible hybrid work model More ❯

bespoke intelligence to enhance player recruitment. We are looking for individuals who will lead our most challenging R&D projects and provide technical leadership on our data science and modelling capabilities. Role Responsibilities Lead advanced research projects to enhance our analytical capabilities, evolving football analytics in the professional game i.e. On and Off Ball Value, Scanning Metrics from Pose … Data Lead the development and implementation of cutting-edge predictive models, machine learning and deep learning algorithms, and statistical techniques (e.g. Markov chain & Bayesian Inference). Enhanced feature development through biomechanical and physics-based modelling Provide leadership in designing and implementing robust R&D infrastructure, ensuring scalability, security, and efficiency in handling large volumes of data. Other Responsibilities … analytics Led R&D and data science projects from ideation to model deployment at scale. Required Technical Skills Essential High-Level proficiency in using Python for feature development and modelling Confident in working with large 2D tracking and desirably “Pose” estimation datasets Proficient football literacy and able to discuss the game at a technical level for development of football More ❯

Customer Data Scientists to help unlock deeper audience insights, optimise engagement, and drive smarter decision-making across their Audio Division . 🔍 What you’ll be doing: Build and deploy predictive models to understand customer behaviour, loyalty, and segmentation Analyse user journeys across digital and audio platforms to improve engagement Support optimisation of ad inventory and revenue through data-driven … influence business strategy 🛠️ What you’ll need: Proficiency in SQL and Python Strong experience in product or customer analytics Hands-on with A/B testing , experimentation, and uplift modelling Excellent problem-solving skills and the ability to turn complex data into clear insight Experience in media, gambling, or digital B2C industries is a plus Comfortable working cross-functionally More ❯

Customer Data Scientists to help unlock deeper audience insights, optimise engagement, and drive smarter decision-making across their Audio Division . ? What you’ll be doing: Build and deploy predictive models to understand customer behaviour, loyalty, and segmentation Analyse user journeys across digital and audio platforms to improve engagement Support optimisation of ad inventory and revenue through data-driven … influence business strategy ?️ What you’ll need: Proficiency in SQL and Python Strong experience in product or customer analytics Hands-on with A/B testing , experimentation, and uplift modelling Excellent problem-solving skills and the ability to turn complex data into clear insight Experience in media, gambling, or digital B2C industries is a plus Comfortable working cross-functionally More ❯

Customer Data Scientists to help unlock deeper audience insights, optimise engagement, and drive smarter decision-making across their Audio Division . ? What you’ll be doing: Build and deploy predictive models to understand customer behaviour, loyalty, and segmentation Analyse user journeys across digital and audio platforms to improve engagement Support optimisation of ad inventory and revenue through data-driven … influence business strategy ?️ What you’ll need: Proficiency in SQL and Python Strong experience in product or customer analytics Hands-on with A/B testing , experimentation, and uplift modelling Excellent problem-solving skills and the ability to turn complex data into clear insight Experience in media, gambling, or digital B2C industries is a plus Comfortable working cross-functionally More ❯

this role is all about: This is a multi-faceted role in VitalityLife focused on enhancing the delivery of our pricing and new business value strategy. It involves building predictive models as part of the existing pricing process and developing new data science methods for improvement. The candidate should be capable of handling analytical, research, and conceptual tasks. You … stakeholders to understand their needs and ensure high-impact project delivery. Prepare and present clear reports on results for relevant committees. Maintain and improve monitoring dashboards and reports. Share modelling techniques and results with the wider Vitality analytics community. Essential Skills: Undergraduate degree in a numerical subject Experience with advanced investigative skills in Excel, Python/R, and SQL More ❯

level outputs. You'll transform complex data into clear, user-friendly reports that drive decision-making. Key responsibilities: You'll use your expertise in Power BI, SQL, and data modelling to produce accurate, timely, and accessible reports and dashboards Lead on high-stakes regulatory and board-level reporting. Translate business requirements into powerful, insightful data products. Guide and support … seeking a confident analyst with: Advanced Power BI skills and strong reporting tool expertise. Deep understanding of database design, SQL, views, and functions. Experience with data storytelling, forecasting, and predictive modelling. The ability to present complex data clearly to non-technical audiences. Experience collaborating across departments on projects and data strategy. A proactive mindset and a passion for quality More ❯

precision-personalised interventions, powered by a groundbreaking symbiosis of cutting-edge AI combined with human support. About the role The Research Scientist in Machine Learning for Wearables will develop predictive deep learning models to assess maternal and partner health and behaviour throughout pregnancy, enabling a holistic understanding of health trajectories and personalised interventions. The post focuses on analysing multimodal … are looking for candidates to have the following skills and experience: PhD in Bioinformatics, Computer Science or other closely related discipline Experience in deep learning with a focus on predictive modelling for healthcare applications using wearable data (e.g., physical activity, heart rate, heart rate variability, sleep patterns) Sufficient breadth or depth of specialist knowledge in the discipline and More ❯

marketing technologies (CRM, automation platforms, analytics, etc.), ensuring all tools work together seamlessly across channels. Work closely with data science and analytics teams to enable advanced segmentation, personalisation, and predictive modelling within the marketing tech stack. Drive the adoption and implementation of Integration Platform as a Service (iPaaS) solutions to connect marketing systems and automate processes. Oversee the More ❯

opportunity to work on high-impact projects that directly influence customer engagement, marketing effectiveness, and business growth. The Role As a Senior Data Scientist, you will: Develop and deploy predictive models to enhance customer targeting and engagement. Work on churn prediction to help improve customer retention strategies. Apply customer segmentation techniques to optimise marketing campaigns. Build marketing attribution models … improve campaign performance. Collaborate with stakeholders across the business to translate insights into actionable strategies. Your Skills & Experience We’re looking for a Data Scientist with: Strong experience in predictive modeling, customer analytics, or marketing data science. Proficiency in Python (Pandas, NumPy, Sci-Kit Learn) or similar tools. A proven track record of delivering impactful, data-driven solutions. Strong More ❯

opportunity to work on high-impact projects that directly influence customer engagement, marketing effectiveness, and business growth. The Role As a Senior Data Scientist, you will: Develop and deploy predictive models to enhance customer targeting and engagement. Work on churn prediction to help improve customer retention strategies. Apply customer segmentation techniques to optimise marketing campaigns. Build marketing attribution models … improve campaign performance. Collaborate with stakeholders across the business to translate insights into actionable strategies. Your Skills & Experience We’re looking for a Data Scientist with: Strong experience in predictive modeling, customer analytics, or marketing data science. Proficiency in Python (Pandas, NumPy, Sci-Kit Learn) or similar tools. A proven track record of delivering impactful, data-driven solutions. Strong More ❯

HiRes-Soils: Robotic platforms for high-resolution maps of soil carbon and GHG emissions’ , funded by the Innovate UK agency. Responsibilities Data Acquisition and Integration: Integrate data from APIs. Predictive Modeling Analytics Spatial Analysis Qualifications and experience Degree in (but not exclusively) Computer Science or Engineering (Mechanical or Electrical) or Agricultural Engineering. Professionally proficient in English (written and spoken … Programming Skills: Proficient in Python, with experience in libraries such as Pandas, NumPy, Scikit-learn, Matplotlib, and others relevant to data science and analytics. Data Science Expertise: Background in predictive modeling, machine learning, and statistical analysis. API Integration: Experience in working with APIs for data retrieval and integration. Ability and willingness to adapt to varying physical objects of development. More ❯

AKUR8 ABOUT US Akur8 is a young, dynamic, fast-growing Insurtech startup transforming insurance pricing and reserving with transparent machine learning. Our SaaS platform leverages transparent machine learning and predictive analytics to enhance insurers’ pricing and reserving processes with speed, performance, and reliability. Powered by skilled R&D, Product & Actuarial teams, we’ve developed unique AI algorithms that automate … insurance pricing and reserving in unprecedented ways. This results in a pricing solution that models risks 10 times faster than traditional methods, with higher predictive power, and incorporates next-generation reserving functionalities to predict future claims, a major industry advancement. Akur8 has been recognized: In CB Insights Top 50 World Insurtech Companies 2023 As 3rd best overall (worldwide) in …/Health insurance pricing (Pricing Actuary, Actuarial Consultant, Data Scientist, etc.) Understanding insurance business imperatives and devising solutions accordingly Strong knowledge of Data Science and Machine Learning techniques for predictive modeling Experience with actuarial predictive modeling (GLMs/GAMs) & risk analysis in a P&C insurance context Excellent communication skills to explain complex technical concepts to diverse audiences More ❯

IR35 A Private Equity firm are seeking a Machine Learning Engineer to join on an initial 6-month contract to assist in the firms portfolio optimisation, risk management, and predictive modelling. You will be working alongside them through one of our consultancy partners who have recently won the bid for the project. The end point client operate primarily in … an Azure environment hence demonstratable experience in Azure is a must. Machine Learning Engineer Key Responsibilities: Use generative AI to build predictive models for market trends, asset valuation, and investment opportunities. Leverage AI algorithms for portfolio optimisation, risk analysis, and asset allocation strategies. Automate data extraction and analysis from financial reports, news, and alternative data sources to support investment More ❯