101 to 125 of 173 Predictive Modelling Jobs in the UK

clinical trial documentation (protocols, study reports, medical reports, patient narratives). 🔹 Create Digital Healthcare applications to support medical/scientific tools, patient engagement, and real-world evidence generation. 🔹 Design predictive models and generative AI solutions leveraging diverse healthcare data (clinical trials, EHRs, wearables, PROs, HEOR, Phase IV). 🔹 Collaborate with clinical, data science, RWE, and medical affairs teams to More ❯

This is a hybrid role combining deep data science expertise with production-grade ML engineering. You'll be a driving force behind our performance marketing automation: designing experiments, building predictive models, and deploying them at scale to help optimise product bidding and maximise profit across platforms like Google Shopping. Expect to work across the full ML lifecycle-from exploring More ❯

development for test automation (Python, C++, or C#). Experience with metaheuristic optimisation (e.g., GA, simulated annealing, particle swarm). Experience with AI/ML techniques (e.g., reinforcement learning, predictive modelling) for test optimisation. You should have a collaborative mindset to work closely with hardware engineers and manufacturing teams. A familiarity with production test time optimisation in semiconductor More ❯

such as dbt and Airflow . Collaborate with clients to understand business challenges and deliver tailored data solutions. Transform raw data into structured, actionable datasets for use in AI , predictive modelling , and platform development . Promote engineering best practices including automation, testing, and code quality. Mentor junior team members and lead technical workstreams to elevate team capability. Essential More ❯

such as dbt and Airflow . Collaborate with clients to understand business challenges and deliver tailored data solutions. Transform raw data into structured, actionable datasets for use in AI , predictive modelling , and platform development . Promote engineering best practices including automation, testing, and code quality. Mentor junior team members and lead technical workstreams to elevate team capability. Essential More ❯

engagement, completion rates, and learning outcomes. Collaborate with stakeholders to develop and track key performance indicators (KPIs) for learning initiatives and monitor progress against goals. Conduct statistical analyses and predictive modelling to identify factors that influence learning outcomes and recommend targeted interventions. Provide recommendations for improving learning content, delivery methods, and learner support based on data analysis findings. More ❯

and promotional effectiveness Evaluate and implement emerging data science techniques to improve existing approaches Collaborate with cross-functional teams to define research questions and align on business goals Develop predictive models and analytical tools Communicate insights through clear, reproducible research and translate technical findings for diverse audiences What We're Looking For: Solid foundation in statistics, experimental design, and More ❯

consider candidates that require sponsorship*** Key Responsibilities: Research and deploy LLM-based solutions (e.g., LangChain, Mastra.ai, Pydantic) for document processing, summarization, and clinical Q&A systems. Develop and optimize predictive models using scikit-learn, PyTorch, TensorFlow, and XGBoost. Design robust data pipelines using tools like Spark and Kafka for real-time and batch processing. Manage ML lifecycle with tools More ❯

passion for working with live, streaming, or sensor-based data . You’ll help us build robust datasets from real-time field trials, integrate diverse data sources, and develop predictive models that guide product development and deployment. Key Responsibilities Design and implement pipelines to ingest, clean, and structure live data from field sensors, drones, and environmental monitoring systems. Build More ❯

consider candidates that require sponsorship*** Key Responsibilities: Research and deploy LLM-based solutions (e.g., LangChain, Mastra.ai, Pydantic) for document processing, summarization, and clinical Q&A systems. Develop and optimize predictive models using scikit-learn, PyTorch, TensorFlow, and XGBoost. Design robust data pipelines using tools like Spark and Kafka for real-time and batch processing. Manage ML lifecycle with tools More ❯

/ML Implementation: Design and implement AI/ML algorithms to automate and enhance geological interpretation. Develop AI/ML algorithms to improve geological realism in subsurface models. Validate predictive models using blind test datasets and real-world scenarios. Collaboration & Innovation Work closely with colleagues from multiple disciplines to refine and enhance workflows. Stay current with AI/ML More ❯

managing and scaling digital product portfolios in complex, data-driven organisations within private markets or similar industries. Hands-on experience with AI/ML applications for financial analysis and predictive modeling. Deep understanding of private market workflows and ability to align digital strategies with broader business objectives. Exceptional ability to influence and build consensus among diverse stakeholders, with strong More ❯

of the firm. In this key and varied role, you can expect to: Develop new features and improve existing products and capabilities that support analysis – calculations, simulations, machine learning predictive modelling. Ensure both the correct prioritisation and quality of delivery of new features. Have effective ownership in this space. Continue effective development and scaling of existing projects. Support academic More ❯

direction of retail pricing in the wider Ageas UK Group. Main Responsibilities as Lead Pricing Analyst - Market: Management, development and coaching of Pricing Analysts. Develop, validate, review, and approve predictive machine learning models; exploring new machine learning techniques to improve model predictiveness. Development and delivery of up to date and accurate datasets for modelling, pricing and monitoring; exploring … 3+ years’ experience in insurance pricing or related analytical background. Highly skilled in the use of programming language (e.g. SAS) to manipulate data. Experience in SOME of the following predictive modelling techniques e.g. Logistic Regression, Log-Gamma GLMs, GBMs, Elastic Net GLMs, GAMs, Decision Trees, Random Forests, Support Vector Machines and Neural Nets. Experienced in the use of More ❯

prototypes using modern frameworks and cloud platforms. Contribute to long-term AI strategy and roadmap development. Ideal Candidate: Strong hands-on experience with AI/ML tools (e.g. NLP, predictive modelling, automation). Familiarity with cloud platforms (AWS, Azure, or GCP). Excellent communication and mentoring skills. Ability to translate complex technical concepts for non-technical audiences. Passionate More ❯

prototypes using modern frameworks and cloud platforms. Contribute to long-term AI strategy and roadmap development. Ideal Candidate: Strong hands-on experience with AI/ML tools (e.g. NLP, predictive modelling, automation). Familiarity with cloud platforms (AWS, Azure, or GCP). Excellent communication and mentoring skills. Ability to translate complex technical concepts for non-technical audiences. Passionate More ❯

understand objectives and translate them into scalable AI models ️ Architect data pipelines to support machine learning workflows and model deployments ️ Evaluate and implement deep learning, computer vision, NLP, and predictive modeling solutions ️ Conduct risk assessments on AI implementations and mitigate compliance or ethical concerns ️ Partner with DevOps to integrate AI models into production systems with CI/CD ️ Define More ❯

countries across five major geographical areas (Europe, Americas, Asia, Africa and Oceania) Role: You will be working in key projects for leading organizations in data mining & knowledge Discovery, predictive modeling, trend modeling, Simulation models (Monte Carlo), Review of credit rating and scoring models and quant support to the business and R&D projects. We look for candidates like you More ❯

countries across five major geographical areas (Europe, Americas, Asia, Africa and Oceania) Role: You will be working in key projects for leading organizations in data mining & knowledge Discovery, predictive modeling, trend modeling, Simulation models (Monte Carlo), Review of credit rating and scoring models and quant support to the business and R&D projects. We look for candidates like you More ❯

supporting the daily activities of scientists (physics, ML, deep learning) producing predictors and prediction workflows,you'll contribute to scaling the scientific logic and software that connect Aqemia's predictive models into advanced drug discovery workflows. You'll build the engine that enables large-scale computation and seamless data transformation. You'll work at the interface of cheminformatics, software More ❯

us We have an exciting opportunity for a Data Scientist to join our rapidly growing Sports Forecasting & Analytics company. Purpose of the role As a Data Scientist within the Modelling & Data Engineering department, you will play a key role in the design, development, and implementation of predictive models that power our sports forecasting products. You will work collaboratively … within a sport-specific team to develop robust, scalable models, contribute to the research and development of new modelling methodologies, and ensure our forecasts remain accurate, low-latency, and aligned with client demands. You will be expected to use your programming, analytical, and mathematical skills to extract insights from data, build high-performance modelling pipelines, and help improve … modelling practices across the business. This role is ideal for someone with a strong foundation in data science who is looking to make a meaningful impact in a high-performance, fast-paced environment. Key responsibilities Design, build, and maintain statistical or machine learning models to support sports forecasting and pricing across various markets. Extract actionable insights from large-scale More ❯

us We have an exciting opportunity for a Data Scientist to join our rapidly growing Sports Forecasting & Analytics company. Purpose of the role As a Data Scientist within the Modelling & Data Engineering department, you will play a key role in the design, development, and implementation of predictive models that power our sports forecasting products. You will work collaboratively … within a sport-specific team to develop robust, scalable models, contribute to the research and development of new modelling methodologies, and ensure our forecasts remain accurate, low-latency, and aligned with client demands. You will be expected to use your programming, analytical, and mathematical skills to extract insights from data, build high-performance modelling pipelines, and help improve … modelling practices across the business. This role is ideal for someone with a strong foundation in data science who is looking to make a meaningful impact in a high-performance, fast-paced environment. Key responsibilities Design, build, and maintain statistical or machine learning models to support sports forecasting and pricing across various markets. Extract actionable insights from large-scale More ❯

us We have an exciting opportunity for a Data Scientist to join our rapidly growing Sports Forecasting & Analytics company. Purpose of the role As a Data Scientist within the Modelling & Data Engineering department, you will play a key role in the design, development, and implementation of predictive models that power our sports forecasting products. You will work collaboratively … within a sport-specific team to develop robust, scalable models, contribute to the research and development of new modelling methodologies, and ensure our forecasts remain accurate, low-latency, and aligned with client demands. You will be expected to use your programming, analytical, and mathematical skills to extract insights from data, build high-performance modelling pipelines, and help improve … modelling practices across the business. This role is ideal for someone with a strong foundation in data science who is looking to make a meaningful impact in a high-performance, fast-paced environment. Key responsibilities Design, build, and maintain statistical or machine learning models to support sports forecasting and pricing across various markets. Extract actionable insights from large-scale More ❯

us We have an exciting opportunity for a Data Scientist to join our rapidly growing Sports Forecasting & Analytics company. Purpose of the role As a Data Scientist within the Modelling & Data Engineering department, you will play a key role in the design, development, and implementation of predictive models that power our sports forecasting products. You will work collaboratively … within a sport-specific team to develop robust, scalable models, contribute to the research and development of new modelling methodologies, and ensure our forecasts remain accurate, low-latency, and aligned with client demands. You will be expected to use your programming, analytical, and mathematical skills to extract insights from data, build high-performance modelling pipelines, and help improve … modelling practices across the business. This role is ideal for someone with a strong foundation in data science who is looking to make a meaningful impact in a high-performance, fast-paced environment. Key responsibilities Design, build, and maintain statistical or machine learning models to support sports forecasting and pricing across various markets. Extract actionable insights from large-scale More ❯

us We have an exciting opportunity for a Data Scientist to join our rapidly growing Sports Forecasting & Analytics company. Purpose of the role As a Data Scientist within the Modelling & Data Engineering department, you will play a key role in the design, development, and implementation of predictive models that power our sports forecasting products. You will work collaboratively … within a sport-specific team to develop robust, scalable models, contribute to the research and development of new modelling methodologies, and ensure our forecasts remain accurate, low-latency, and aligned with client demands. You will be expected to use your programming, analytical, and mathematical skills to extract insights from data, build high-performance modelling pipelines, and help improve … modelling practices across the business. This role is ideal for someone with a strong foundation in data science who is looking to make a meaningful impact in a high-performance, fast-paced environment. Key responsibilities Design, build, and maintain statistical or machine learning models to support sports forecasting and pricing across various markets. Extract actionable insights from large-scale More ❯