201 to 225 of 289 Predictive Modelling Jobs in England

a Data Scientist, you'll be at the heart of data-driven decision-making. You'll help build and maintain scalable data pipelines, design predictive models, and turn complex datasets into meaningful insights for the business. This role offers a balance of technical depth, creative problem-solving, and cross … uncovering insights that drive business outcomes. Key Responsibilities Develop and maintain robust data pipelines to support analytics and machine learning initiatives. Build and deploy predictive models using statistical methods and ML algorithms. Ensure high data quality through validation, monitoring, and automated checks. Translate business needs into clear analytical approaches More ❯

intelligent process control. So, what’s the opportunity here? Use your skills in C#, Python, or C++ to build platforms that enable process optimization, predictive modelling, and complex system automation . Learn from and collaborate with experts across engineering, data science, and machine learning . Contribute to highly … moving, high-stakes environment. Work towards the most difficult challenges with a team of the brightest and the best. Engage with projects involving simulation, modelling, data architecture , and high-dimensional optimisation challenges. Why this is a unique career move: ✅ Join a venture-backed, rapidly growing tech company solving tough … impact problems ✅ Be part of a highly talented, multi-disciplinary team pushing the limits of what software can achieve ✅ Gain exposure to AI, computational modelling, and scientific computing ✅ Influence the architecture and development of platforms used across R&D and production ✅ Enjoy excellent salary , a culture built around innovation More ❯

your peers in the Marketing & Personalisation team and Operations team to contribute through leadership. As such, experience with Marketing Data Science (think Marketing Mix Modelling, Multi-touch attribution) or Operational Research is also welcome. In return you'll receive coaching and mentoring to grow as a people manager. Opportunity … concisely to technical and non-technical audiences of various levels of seniority. Proven ability to manage stakeholders. Broad expertise in machine learning methodologies, including predictive modelling, pattern recognition, and optimization techniques. Experience with reinforcement learning or transfer learning is a plus. Excellent ability to gather, develop, prioritise and More ❯

and publish the research in internal and external ML conferences. Successful candidates will have deep knowledge of competing machine learning methods for large scale predictive modelling, natural language processing, semi-supervised & graph based learning. We also look for the experience to graduate prototype models to production and the More ❯

and publish the research in internal and external ML conferences. Successful candidates will have deep knowledge of competing machine learning methods for large scale predictive modelling, natural language processing, semi-supervised & graph based learning. We also look for the experience to graduate prototype models to production and the More ❯

Do: Lead projects and mentor teams, advocating for ML excellence. Design and optimize scalable, modular AI models for production. Build recommendation systems, classifiers, and predictive models . Adapt ML methods for parallel environments (GPU, distributed clusters) . What We’re Looking For: A PhD in a core STEM subject More ❯

concierges - and with this commercial focus advance our unique research that lies at the intersection of Reinforcement Learning rewards, Large Scale Knowledge Representation, and Predictive Models inspired by biological priors. The Next Frontier of Machine Reasoning: Web-scale Knowledge Graph Exploration using Reinforcement Learning Human experts can form and More ❯

strategies across the platform. Analyze user journeys and behavioral data across tenants to uncover insights that inform product and engagement strategies. Develop segmentation and predictive models to support personalization and proactive member engagement based on demographics, behavior, and interaction activities etc. Design and analyze experiments (A/B testing … SQL skills and experience working with large, complex data sets. Proficiency in SQL and Python or R, with hands-on experience in machine learning, predictive modeling, and statistical analysis. Proven experience working directly with product analytics platforms like Mixpanel, Amplitude, or similar tools. Experience with data visualization and BI More ❯

strategies across the platform. Analyze user journeys and behavioral data across tenants to uncover insights that inform product and engagement strategies. Develop segmentation and predictive models to support personalization and proactive member engagement based on demographics, behavior, and interaction activities etc. Design and analyze experiments (A/B testing … SQL skills and experience working with large, complex data sets. Proficiency in SQL and Python or R, with hands-on experience in machine learning, predictive modeling, and statistical analysis. Proven experience working directly with product analytics platforms like Mixpanel, Amplitude, or similar tools. Experience with data visualization and BI More ❯

guidance to clients across various industries to improve the availability and reliability of their assets and systems. Your role will involve conducting in-depth predictive modelling and reliability assessments to identify improvement opportunities and to meet stringent availability design targets. You'll work closely with clients to develop … and implement data-driven solutions, drawing on industry best practices and reliability engineering methodologies such as FMEA, Reliability and Availability Modelling, and Fault Tree analysis. This position requires strong communication skills, adaptability, and a focus on delivering high quality deliverables. Key Responsibilities Interrogate Process Flow Diagrams (PFDs) and electrical More ❯

efficiency. Designing and building ELT/ETL pipelines, optimising a cloud-based data platform (AWS). Creating data models and infrastructure to support segmentation, predictive modelling, and reporting. Enhancing stakeholder access to insights via Looker and other BI tools. Driving performance optimisation across the entire data estate. For More ❯

efficiency. Designing and building ELT/ETL pipelines, optimising a cloud-based data platform (AWS). Creating data models and infrastructure to support segmentation, predictive modelling, and reporting. Enhancing stakeholder access to insights via Looker and other BI tools. Driving performance optimisation across the entire data estate. For More ❯

Marketing (strategy, campaign planning and delivery), B2B Marketing technology (progressive profiling of prospects) and best-in-class B2B CRM (data architecture, data science and predictive modelling) to optimise customer contact and value. Graymatter Reply specialises in business to decision-maker marketing and has experience across a range of More ❯

of product management, specialising in managing payment gateway-related products and authentication products such as 3D Secure. Experience with products driven by data and predictive modelling would be an advantage. Responsibilities Support the Head of Customer Retention in executing the customer-led renewal strategy to increase retention rates More ❯

experience articulating and representing highly technical media and advertising capabilities to a range of stakeholders, both technical and non-technical in nature - this includes: Predictive modelling and campaign test design Digital media planning and buying, both programmatic and direct Digital media AdTech and MarTech platforms in paid media More ❯

and run experiments to test hypotheses and support product development. Develop robust data pipelines to support science experimentation and production. Deploy, maintain, and monitor predictive models in live environments. Communicate findings and technical concepts clearly to both technical and non-technical audiences. Contribute to agile delivery workflows and cross More ❯

a mission-driven team that’s revolutionizing patient care and clinical workflows with cutting-edge technology. What You’ll Do: Collaborate with AI and predictive modeling experts to create impactful applications to positively impact the lives of millions of people Be an impactful, core contributor by building robust, scalable More ❯

lead the application of artificial intelligence across the business. This person will explore and implement AI tools—from prompt design to agent building and predictive models—to improve newsroom workflows, support commercial teams, and drive product innovation. Working at the intersection of editorial, product, and technology, the ideal candidate More ❯

lead the application of artificial intelligence across the business. This person will explore and implement AI tools—from prompt design to agent building and predictive models—to improve newsroom workflows, support commercial teams, and drive product innovation. Working at the intersection of editorial, product, and technology, the ideal candidate More ❯

concierges - and with this commercial focus advance our unique research that lies at the intersection of Reinforcement Learning rewards, Large Scale Knowledge Representation, and Predictive Models inspired by biological priors. The Next Frontier of Visual Foundation Models: Unlocking Human Engagement and New Consumer Behavior with Advanced Generative Interactions We More ❯

objectives. This is a fast-paced role with a keen eye on revenue generation and managing toward aggressive growth targets. Responsibilities Data Science and Modelling: Utilize advanced data science techniques to analyze large datasets, develop predictive models, and generate actionable insights for investment strategies. Forecasting: Implement robust forecasting … strategies. Required Skills Bachelor's or Master's degree in Data Science, Statistics, Finance, or a related field. Proven experience in data science, statistical modelling, and forecasting within the investment or financial sector. Strong proficiency in programming languages such as Python, R, or similar. Experience with AI and machine More ❯

projects and your day job typically consists of: Help build and improve the algorithms in a scalable manner for AI-based anomaly detection and predictive modelling. Apply and sometimes (co-)invent and implement AI/ML algorithms for processing various types of data (timeseries, tabular, etc.). Develop computer … models and perform predictive and prescriptive analytics for various applications. Build Proof of Concepts in notebooks, integrate these algorithms into the operational flow of the customer, train the users, and provide support. Interface with various data sources over various connector pipelines (SQL, Elasticsearch, Kafka, REST APIs, etc.). Tune … algorithms and data pipelines for optimal performance. Train, tune, and deploy anomaly detection and predictive models on industrial or IoT data. Knack/experience in consultancy services. Qualifications: Previous hands-on experience in Data Science, delivering machine learning models to production. Bachelor's or Master's degree in Data More ❯

chance to have a profound impact on the project. Key Responsibilities: Analyze large datasets to uncover patterns and insights related to customer behavior. Develop predictive models to forecast customer activities and trends. Collaborate with cross-functional teams to implement data-driven strategies. Define and track key performance indicators (KPIs … s or PhD degree in a quantitative field. Proven experience of large-scale data analysis and hypothesis testing. Strong proficiency in statistical analysis and predictive modeling. Proficient in Python (pandas, scipy, numpy, scikit-learn) or R (tidyverse/data.table), along with SQL. Excellent problem-solving skills and attention to … Predicting future expected value and future potential value of individual customers. Real-time prediction of customer churn. Building multi-level customer segmentation driven by predictive models. Here's what we offer: 25 days of annual leave. 5 days of sick leave. Access to learning resources (Udemy, LinkedIn, O'Reilly More ❯

interpretation, validation and communication of innovative exploratory analyses and algorithms, to facilitate internal decision making. You will provide technical expertise in data science and (predictive) machine learning/AI to identify opportunities for influencing internal decision making as well as discussions on white papers/regulatory policy. You will … lasso, elastic net, random forest), design of clinical trials. Strong programming skills in R and Python. Demonstrated knowledge of data visualization, exploratory analysis, and predictive modeling. Excellent interpersonal and communication skills (verbal and writing). Ability to develop and deliver clear and concise presentations for both internal and external More ❯

the network in real-time Build a transit time model to look at historical data and uncovering real time system dynamics through live components Predictive modelling to predict passenger flow Mix of classical ML, simulation optimisation and deep learning REQUIREMENTS: Proven experience in optimisation and/or simulation More ❯