20 of 20 Predictive Modelling Jobs in London

problems and unlock value through data Translate operational and business challenges into thoughtful, practical analytics and data science solutions, including demand forecasting, optimisation and predictive modelling Create metrics, reports and dashboards that tell a clear story, enabling leaders to make confident decisions about customer experience, resourcing and performance ...

They are looking for a Data Scientist with a strong GIS focus to be responsible for analysing large datasets to extract actionable insights, build predictive models and develop data-driven solutions to complex problems. You will play a major part in data visualization, statistical analysis and collaboration with cross ...

communications. Translate complex business challenges into analytical frameworks and actionable insights using data from multiple sources. Conduct advanced quantitative analyses (e.g., marketing attribution, segmentation, predictive modeling) to uncover business drivers and inform strategy. Present findings and recommendations to senior client stakeholders in a clear, compelling narrative that drives decision ...

with both hands-on technical delivery and leadership responsibilities. Expertise in Power BI, SQL, and semantic modelling. Experience applying ML/AI techniques (e.g., predictive modelling, NLP) to real-world problems. Excellent communication skills and a passion for mentoring. A degree in a relevant field or equivalent experience ...

network of charging points Analyse customer behaviour, usage patterns, and operational data to inform strategy and growth Build statistical models for segmentation, regression, predictive modelling, and forecasting Support pricing and revenue optimisation initiatives, including dynamic pricing strategies Query and process large datasets coming from multiple real-time sources ...

communications. Translate complex business challenges into analytical frameworks and actionable insights using data from multiple sources. Conduct advanced quantitative analyses (e.g., marketing attribution, segmentation, predictive modeling) to uncover business drivers and inform strategy. Present findings and recommendations to senior client stakeholders in a clear, compelling narrative that drives decision ...

candidates today for this to be possible. Interviews next week apply asap/Today Key Responsibilities: Build and optimize AI/ML pipelines for predictive modelling, NLP, and generative AI applications. Perform Exploratory Data Analysis (EDA), data mining, and visualization to extract insights. Design and implement Big Data ...

deliver progress. What you’ll do and how you will make an impact. What You’ll Do Design and execute advanced statistical and predictive models to understand the key drivers of customer behaviour, retention, and engagement. Develop and refine sophisticated models to measure and predict key commercial outcomes ...

years, successfully developing statistical models and analytical frameworks. The successful Quantitative Analyst will work within the prediction team, using extensive datasets to enhance existing predictive models as well as researching new methods. The role will be working alongside a team of Quants, Developers, and Analysts. Due to the nature … business this is mainly an office-based role. Experience required: 3+ years' experience within predictive modelling, machine learning, and probability theory. Ideally this would be within sports or gaming/betting industries. Understanding of techniques such as Monte Carlo simulation, Bayesian modelling, GLMs, mixed effects models, time ...

programming experience, with good experience building and maintaining Data Pipelines. Good knowledge of Fixed Income products. Strong experience in statistical analysis, machine learning, and predictive modelling. What you'll get in return Initial 6-month contract with extensions. Up to £765pd Umbrella. London-based hybrid working. What you need ...

contract. Inside IR35 Hybrid Responsibilities: Own the development and implementation of data models, analytics frameworks, and experimentation strategies across the platform. 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 … 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 tools ...

deliver iterative, production-ready solutions that make our packaging systems faster, smarter, and more reliable. What you'll need to succeed Not the classic "predictive modeling" skillset. Required skillset: Exploration vs. exploitation mindset. Ability to search optimal recipe space within a model. Build models to explore and exploit possibilities ...

data, and help make data driven decisions to deliver better products, service and relevance to the customers. THE ROLE Customer Science Develop and implement predictive models to understand drivers of customer behaviour, including purchase patterns, customer lifetime events and sentiment analysis Create sophisticated customer segmentation using behavioural, transactional … demographic data Design and build predictive models to enhance personalized customer experiences across all channels Collaborate on design of test & learn methods to measure CRM initiatives' effectiveness Monitor and optimize model performance through continuous improvement cycles Technical Implementation Transform analytical solutions into production-ready code Implement models within ...

candidates today for this to be possible. Interviews next week apply asap/Today Key Responsibilities: Build and optimize AI/ML pipelines for predictive modelling, NLP, and generative AI applications click apply for full job details ...

behavioural clusters and look-a-like groups. Use customer insights and engagement data to drive journey optimisation and channel performance. Support retention and propensity modelling, translating outputs into actionable CRM programmes. Collaborate with marketing, data, engineering and operations to align CRM activity with business goals. Required Experience & Skills Proven … communicate insights clearly to both technical and non-technical stakeholders. Desirable Experience integrating CRM with platforms like Twilio or similar APIs. Exposure to predictive modelling (e.g., churn/engagement propensity). Experience in complex or multi-data-source environments. Robert Walters Operations Limited is an employment business ...

Brief: The team is committed to advancing AI-driven innovations in two key areas: developing AI-powered predictive healthcare solutions that integrate real-world health data from wearables, IoT devices, and medical records to enhance early disease detection and enable personalized health monitoring, and creating AI-powered accessibility solutions … diagnosis and personalised healthcare solutions. Process and analyze structured and unstructured health data (EHR, Wearables, HL7/FHIR) and implement deep learning algorithms for predictive healthcare applications. Contribute to research on AI-driven personalization strategies to empower users in managing their health effectively. Develop AI-powered accessibility solutions ...

Brief: The team is committed to advancing AI-driven innovations in two key areas: developing AI-powered predictive healthcare solutions that integrate real-world health data from wearables, IoT devices, and medical records to enhance early disease detection and enable personalized health monitoring, and creating AI-powered accessibility solutions … diagnosis and personalised healthcare solutions. Process and analyze structured and unstructured health data (EHR, Wearables, HL7/FHIR) and implement deep learning algorithms for predictive healthcare applications. Contribute to research on AI-driven personalization strategies to empower users in managing their health effectively. Develop AI-powered accessibility solutions ...

Type: Contract (Inside IR35) Duration: 12 Months Brief: The team is committed to advancing AI-driven innovations in two key areas: developing AI-powered predictive healthcare solutions that integrate real-world health data from wearables, IoT devices, and medical records to enhance early disease detection and enable personalized health … diagnosis and personalised healthcare solutions. Process and analyze structured and unstructured health data (EHR, Wearables, HL7/FHIR) and implement deep learning algorithms for predictive healthcare applications. Contribute to research on AI-driven personalization strategies to empower users in managing their health effectively. Develop AI-powered accessibility solutions ...

blend spatial analysis, advanced analytics, and problem-solving to turn geospatial data into actionable insights. You'll work with large, complex datasets, build predictive models, and support data-driven decisions across the organisation. If you love maps, patterns, and answering real-world questions with data, this role has your … Responsibilities Acquire, clean, and manage geospatial datasets from diverse sources Perform spatial analysis, spatial statistics, and geoprocessing to support strategic and operational projects. Develop predictive models and machine-learning workflows using spatial and non-spatial data. Build and maintain spatial databases, data pipelines, and automated ETL processes. Create high ...

deliver iterative, production-ready solutions that make our packaging systems faster, smarter, and more reliable. What you'll need to succeed Not the classic "predictive modeling" skillset Data Science skillset Needed skills: Exploration vs. exploitation mindset Advanced Optimization Skills: Expertise in linear optimization and statistical optimization for systems. Strong ...