51 to 68 of 68 Predictive Modelling Jobs in the UK

real-time market data to trading infrastructure, where speed and reliability are fundamental requirements Building integrated environments where quantitative researchers develop, test, and deploy predictive models - from feature engineering through execution Architecting cloud-based simulation and experimentation platforms that support large-scale quantitative research without becoming a bottleneck Standing ...

Relation is offering an outstanding opportunity for a Senior Machine Learning Research Engineer to help build and scale the next generation of generative and predictive models of cellular behaviour. Research Engineers at Relation are software engineers with a deep understanding of machine learning and deep learning, acting ...

Desirable Experience of supporting business case development or bid writing through data analysis. Knowledge of population health management approaches. Familiarity with demand and capacity modelling, service evaluation, or predictive analytics. Skills and Abilities Essential Strong practical EMIS Web data extraction and analytical skills. Advanced Microsoft Excel skills, including … effectively to changing organisational priorities. Desirable Experience of developing automated or semi-automated reporting solutions. SQL, R or Python. Statistical analysis and/or predictive modelling. Knowledge of population health management and healthcare commissioning. Qualifications Essential Degree in a numerate, analytical, health-related, or information-related subject, or equivalent ...

bring the data perspective. You'll help ensure experiments are designed with the downstream data requirements in mind, lead the approach to modelling and validation, and ultimately help turn complex real-world scientific data into robust ML-driven products. We're particularly interested in people with experience across areas … environments • Data Science & Machine Learning • Experimental design and statistical methodology • Noisy real-world sensor, instrument or time-series data • Signal processing, classification or predictive modelling • Taking scientific or ML products from experimentation towards real-world deployment • Python/R/similar hands-on analytical tooling Experience within chemistry ...

+ £5,000 Car Allowance + Bonus London(Hybrid – 2x Days a Week in Office) If you enjoy solving complex modelling problems, building innovative machine learning solutions, and working with alternative data to challenge traditional pricing strategies, this is an opportunity to join one of the UK's strongest … expand its Alternative Pricing Product team with a Senior Data Scientist. You'll join a highly collaborative environment where experimentation is encouraged and innovative modelling techniques are actively deployed into production! The Role Reporting into the Head of Pricing, you'll join a specialist team responsible for developing next ...

using the platform's pseudonymised linked dataset. Working alongside colleagues responsible for data pipeline and quality infrastructure, the postholder will focus on longitudinal and predictive analyses of CYP health, contributing to peer-reviewed publications, grant applications, and the development of a clinical risk stratification tool for early identification … candidate risk and protective factors, exploring sub-group structure and clustering. Exploring relationships between variables and carrying out feature engineering steps required to support predictive modelling.The postholder will develop and validate predictive models aimed at: Modelling future risk of mental health problems in CYP prior to contact ...

Data Scientist to support the development of innovative solutions for their customers. The Role and Deliverables Design, develop, implement, and maintain pricing optimisation and modelling algorithms. Build predictive models focused on customer behaviour, demand forecasting, and price elasticity. Develop data-driven pricing strategies and recommendations for customers. Partner … optimisation models into production environments and continuously improve performance based on real-world outcomes. Support customer experimentation through A/B testing and scenario modelling, while communicating insights to stakeholders in a clear and actionable way. Your Skills & Experience Strong experience designing and implementing large-scale pricing optimisation systems. ...

translate findings into actionable recommendations. Innovative Solutions: Combine structured datasets with unstructured sources (like text and customer interaction data) to create robust features and predictive models. NLP & GenAI Expertise: Apply traditional NLP techniques and cutting-edge GenAI tools for text classification, summarization, entity extraction, and more. Data Pipelines: Build … Experience Required: Proven expertise in delivering end-to-end data science solutions that yield practical outcomes. Experience in combining structured and unstructured datasets for modelling and analysis. Strong background in NLP and GenAI techniques, including text classification, summarization, and embeddings. Advanced proficiency in SQL, Python, and PySpark, with ...

patients. The opportunity Relation is offering an outstanding opportunity for a Senior Data Scientist to help build the next generation of generative and predictive models of cellular behaviour, with a focus on high-content imaging. Your work will be central to our mission to understand and control cellular decision … modalities in close partnership with ML and data scientists. Surface what models learn about cellular morphology, identify failure modes, and feed findings back into modelling decisions. Partner with wet lab assay teams from plate design through to data delivery, ensuring imaging assays remain analytically tractable and yield valuable data. ...

patients. The opportunity Relation is offering an outstanding opportunity for a Senior Data Scientist to help build the next generation of generative and predictive models of cellular behaviour, with a focus on single cell multi-omics. Your work will be central to our mission to understand and control cellular … data modalities (transcriptomics, chromatin accessibility, imaging and proteomics) for joint analysis. Exposure to foundation model development or perturbation prediction models. A background in statistical modelling and algorithm development. Experience working in interdisciplinary teams. Personally, you Are comfortable working in a matrixed environment, balancing multiple stakeholders and contributing effectively across ...

problems & improve decision-making. They will develop & evaluate statistical & machine learning approaches, focus on applications such as population health analysis, risk stratification, forecasting, segmentation & predictive modelling. Bringing together complex datasets, identifying appropriate modelling approaches, evaluating performance & ensuring outputs & limitations are understood. Strong focus on moving data science beyond … ensure analytical code & models can be developed, tested, deployed & updated in a controlled & reproducible way. Emphasis placed on discovery, experimentation & rapid prototyping, testing hypotheses & modelling approaches early, evaluating whether they provide meaningful value & iterating based on evidence & user feedback. Ensure solutions are robust, reproducible, explainable & appropriately validated, consideration given ...

customer base across the hospitality sector. The Role and Deliverables Develop and implement advanced pricing models and optimisation algorithms to maximise customer revenue. Build predictive models to forecast customer behaviour, demand patterns, and price elasticity. Partner with product, engineering, sales, and customer success teams to deliver pricing strategies that … Monitor model performance using real-world outcomes and continuously refine solutions to improve effectiveness. Enable customers to conduct A/B testing and scenario modelling, providing clear recommendations based on data-driven insights. Your Skills & Experience Strong experience designing and implementing large-scale pricing optimisation solutions. Advanced programming skills ...

few. Role overview As a Data Scientist, you will use your advanced analytical skills to: Lead the development of cutting-edge, bespoke machine learning predictive models, including risk pricing and classification and regression models Identify and create data solutions that create value Work collaboratively with the pricing and machine … data assets and lead the development of bespoke machine-learning models to improve the underwriting performance of the Group. Key Responsibilities: Develop and test modelling improvements for pricing models, particularly in motor. These might include improvements in hyper-parameter tuning methods, model performance, model stability and feature explainability ...

requires someone who can provide technical leadership, mentor internal teams, and actively build, deploy, and operationalise machine learning solutions. Key Responsibilities Design and develop predictive models to support commercial decision-making. Utilise AutoML tools (e.g. AutoGluon, H2O AutoML, PyCaret) to accelerate model development. Assess, prepare, and engineer data … Python and machine learning experience. Proven track record delivering ML solutions into production. Experience with AutoML frameworks. Strong understanding of regression, forecasting, and predictive analytics. Data engineering and pipeline development capability. AWS ML deployment experience (e.g. SageMaker, ECS, Lambda). Practical MLOps experience. Excellent stakeholder management and consulting skills. ...

exciting opportunity to apply data science techniques to real-world challenges while collaborating with multidisciplinary teams. Key Responsibilities Develop and implement analytical and predictive models Apply data science techniques to large and complex datasets Work collaboratively with Engineering and MI teams to deliver data-driven solutions Identify trends, patterns … opportunities through advanced analysis Present findings and recommendations to stakeholders Support the continuous improvement of modelling approaches and analytical processes Skills & Experience Active SC Clearance (mandatory) Strong experience in Data Science and Analytical Modelling Experience working with complex, large-scale datasets Strong Python and data analysis capabilities Experience ...

causal inference to distinguish genuine impact from correlation? Have you applied propensity methods or counterfactual modelling to customer or product data? Would you like to help move an established Data Science team from prediction into causality? A major global consumer technology business is hiring a Data Scientist into … Customer Lifetime Value team. The team already has predictive models in place. The next step is moving beyond prediction to understand causality: what is the true incremental value of a customer action, and what would have happened if that action had not occurred? Responsibilities • Build causal solutions to quantify ...

Senior/Principal Machine Learning Scientist (Generative Modelling) About Relation Relation is a sector defining TechBio company developing transformational medicines, with technology at our core. Our ambition is to understand human biology in unprecedented ways, discovering therapies to treat some of life’s most devastating diseases. We leverage single … patients. The opportunity Relation is offering an outstanding opportunity for a Machine Learning Scientist to help build the next generation of generative and predictive models of cellular behaviour. Your work will be central to our mission to understand and control cellular decision-making, enabling novel therapeutic strategies grounded ...

Machine Learning Scientist who combines strong ML fundamentals with a deep understanding of biological data, to help build the next generation of generative and predictive models of cellular behaviour. Your work will be central to our mission to understand and control cellular decision-making, enabling novel therapeutic strategies grounded … modern ML tooling, including agentic workflows, to accelerate the pace of research iteration. This is an opportunity to push the boundaries of what generative modelling can achieve in complex, high-dimensional, and noisy real-world systems, and to see your work tested directly in experimental biology. ...

aligned discovery chemistry. You have a foot firmly planted in both domains and you know how to capture experimental design data to use as predictive model training, just as well as you know how to contribute directly to formulation development. You’re interested in the applications of digital chemistry … Process Intelligence Identify and implement AI-enabled tools and workflows across binder development and characterisation, including experimental design (DoE), data capture, automated analysis, and predictive modelling. Help the team digitise and structure experimental data to support machine learning and pattern recognition across formulation datasets Develop and optimise AI-assisted ...