10 of 10 Contract Predictive Modelling Jobs in London

scikit-learn. Experience with cloud services for mode training and deployment. Machine Learning Fundamentals Statistical concepts for robust data analysis. Linear algebra principles for modelling and optimisation. Calculus for optimising algorithms and models. Predictive modelling techniques for regression and classification. Time series analysis for handling time-dependant ...

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 ...

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 ...

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 ...

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 ...

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 ...

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 ...