101 to 125 of 160 Predictive Modelling Jobs in London

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 ❯

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 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 ❯

for Local and Global Markets. Look at data from all areas of the business, developing and delivering customer-centric analysis and insights to drive predictive modeling, multi-channel, multi-market CRM programs across marketing and customer services in conjunction with the Global Head of Marketing Operations and Senior Marketer … of campaigns, CRM, advertising, brand, digital, and the impact Insight has on these functions. Knowledge of advanced data analysis techniques that include customer segmentation, predictive modeling, multivariate analysis, querying and reporting tools, metrics reporting, A/B testing, and statistical significance. Exceptional problem-solving abilities and experience synthesizing data. 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 ❯

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 ❯

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 ❯

focus on data preparation, transformation, outlier detection, and feature engineering. Collaborate on the design of ESG constraints for client-driven investment solutions, help build predictive models and design interactive data applications. We're Looking for Teammates With: Bachelor's degree in Quantitative Finance, Computer Science, Mathematics, Statistics, or a … a methodical approach to work, strong multi-tasking skills, and the ability to collaborate across regional offices and time zones. Proficient in financial analysis, modelling, and statistics, with experience extracting insights from heterogeneous multi-dimensional datasets. Ability to apply machine learning techniques (e.g., scikit-learn, PyTorch, TensorFlow) and present More ❯

in maximizing both customer acquisition and retention across the business. You'll work closely with growth, product, and analytics stakeholders to uncover insights, build predictive models, and drive high-impact decision-making through experimentation and forecasting. This is a high-visibility role where your work will directly influence business … into large-scale datasets using SQL and perform advanced statistical techniques in Python. Continuously evaluate and improve existing models and testing frameworks to increase predictive accuracy and business impact. What We're Looking For 5+ years of experience in data science, ideally in growth, marketing, or product-focused roles. More ❯