101 to 125 of 196 Predictive Modelling Jobs in England

and patient narratives. Lead the development and implementation of Digital Healthcare applications for medical and scientific tools, RWE new ways of generating real data, patients' engagement. Design and develop predictive models and generative AI solutions using diverse healthcare data sources, including clinical trials data, electronic health records, wearable devices, patient-reported outcomes, HEOR data, phase IV studies. Collaborate with More ❯

high-growth tech scaleup, making an impact on core business decisions and customer experiences from day one , You'll collaborate with our Product, Engineering, and Commercial teams to build predictive models and data-driven solutions that power everything from eligibility checks to fraud detection, pricing, and beyond , Get to grips with our data platform and begin contributing to models More ❯

order to obtain greater knowledge of our assets, maximising income, manage our resources and operate effective and efficient processes. Handle potentially incomplete data sets, clean up data to produce predictive modelling. Working with the ICT Quality Team ensure robust testing pre-release of all reports and related dashboards; support and comply with change control working practices within ICT & Digital 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 ❯

training on hundreds of Gigabytes/tens of millions rows of data per day, Vaix is building a wide range of Machine Learning solutions, from Recommendation engines, human behavior predictive models, to Natural Language Processing. We process hundreds of API requests per second from operators and respond back with latency in milliseconds. Vaix is seeking an experienced and passionate More ❯

insights, trends, and recommendations Collaborating with internal teams to enhance survey design, benchmarks, and insight reporting within the core product Developing scalable frameworks and methodologies (e.g., drivers of engagement, predictive models, ROI models) Contributing to content development including case studies, customer playbooks, and white papers Mentoring team members and act as a subject matter expert on people science and More ❯

high-growth tech scaleup, making an impact on core business decisions and customer experiences from day one. You'll collaborate with our Product, Engineering, and Commercial teams to build predictive models and data-driven solutions that power everything from eligibility checks to fraud detection, pricing, and beyond. Here's what you'll get up to: Get to grips with More ❯

training on hundreds of Gigabytes/tens of millions rows of data per day, Vaix is building a wide range of Machine Learning solutions, from Recommendation engines, human behavior predictive models, to Natural Language Processing. We process hundreds of API requests per second from operators and respond back with latency in milliseconds. Vaix is now looking to recruit an More ❯

platform, enabling our partners to self-serve by creating their own end-to-end data workflows, from ingestion through transforming data and evaluating experiments to analyzing usage and running predictive models. We provide a solid data foundation to support various highly impactful business and product-focused projects. We're looking for a Senior Data Infrastructure engineer to join us 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 ❯

and motivated Data Scientist II to join our team. In this role, you will leverage your advanced analytical skills and programming expertise to extract insights from complex datasets, develop predictive models, and support decision-making for our diverse range of customers. As a mid-level contributor, you will work on a variety of data-driven projects, collaborate with cross … functional teams, and help implement scalable solutions. Key Responsibilities Data Analysis & Modelling: Analyse large, complex datasets to identify trends, patterns, and actionable insights. Develop, implement, and optimize machine learning models to solve business problems. Conduct A/B testing and experimental analysis to validate hypotheses. Data Management & Engineering: Collaborate with data engineering teams to ensure data quality, accessibility, and … Actively participate in design meetings to help shape the solutions that the team delivers Present findings and recommendations to technical and non-technical audiences. Acquire domain knowledge to inform modelling opportunities and model feature creation Technical Leadership: Mentor junior data scientists and provide peer reviews for modelling projects. Stay current with industry trends, tools, and best practices to More ❯

grow into a leadership position and shape the future of the data function. THE ROLE: As a Data Scientist in this high-impact team, you’ll: Lead on statistical modelling across a range of quant-led market research and political insight projects. Apply and evolve a robust modelling framework using R , supporting techniques from regression and segmentation through … with the opportunity to build and lead your own team in the near future. YOUR SKILLS & EXPERIENCE We're looking for: Solid Data Science experience in R , especially in predictive modelling and regression/segmentation techniques. Educated to Masters or PhD level A flair for methodological creativity – someone who enjoys being playful and inventive in their approach to More ❯

grow into a leadership position and shape the future of the data function. THE ROLE: As a Data Scientist in this high-impact team, you’ll: Lead on statistical modelling across a range of quant-led market research and political insight projects. Apply and evolve a robust modelling framework using R , supporting techniques from regression and segmentation through … with the opportunity to build and lead your own team in the near future. YOUR SKILLS & EXPERIENCE We're looking for: Solid Data Science experience in R , especially in predictive modelling and regression/segmentation techniques. Educated to Masters or PhD level A flair for methodological creativity – someone who enjoys being playful and inventive in their approach to More ❯

hypotheses : Design, develop, and implement a range of experiments which will test and validate hypotheses across channels, segments and audiences which will derive actionable insights and decision making. Develop predictive models: develop, test and implement predictive models to inform business decisions, such as customer segmentation, retention models and customer lifetime value. Communicate results and engage with stakeholders : Effectively … datasets and identify opportunities for automation and process improvements. Strong analytical and problem-solving skills to address real-world business challenges. Practical and outcome driven mindset. Proficiency in statistical modelling : Demonstrated experience in developing and deploying statistical models, with a strong understanding of various, including supervised and unsupervised learning methods. Additional knowledge of GenAI and LLMs is an advantage. More ❯

build a scoring model to match customers to the client and be able to work closely with stakeholders. You will need: 3-5 years Data Science experience Python & SQL Predictive Modelling, Statistical Analysis experience Strong communication and stakeholder skills Have worked in a small organisation More ❯

bring: PhD in a relevant field (or equivalent experience in applied research) Experience working in areas such as: NLP (e.g. text mining, entity linking, transformer models) Graph ML (e.g. predictive models, knowledge graphs) Knowledge representation, ontologies, or semantic reasoning Strong Python programming skills Familiarity with at least one ML framework (e.g. PyTorch, TensorFlow) Clear communicator, able to present work 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 ❯

content, engagement and conversion based product selection, back in stock opportunities and secondary content • Monitor email newsletter performance and base health, with a focus on lifecycle status monitoring and predictive models, identifying opportunities for development and optimisation to drive customer engagement, conversion and loyalty • Drive subscriber value and base growth with omnichannel lead generation initiatives such as data capture More ❯

impact, they're now looking to expand their engineering function with two Full Stack Developers. This is an opportunity to work on greenfield projects with real-world impact, building predictive modelling systems that power automated trading and investment strategies. Key Responsibilities Design, build, and maintain full-stack software solutions in C#/.NET* Develop predictive models for More ❯

sources, ensuring data accuracy and integrity. Cleaning and preprocessing data to prepare it for analysis. Performing statistical analysis to understand data characteristics, trends, and patterns, and validating hypotheses. Developing predictive models using machine learning algorithms to forecast trends and outcomes, including training, testing, and optimizing models. Creating visualisations using Python libraries and dashboard tools like Power BI to communicate … engineering, and RAG approaches. Experience with tools/frameworks for building Generative AI applications (e.g., agentic AI, orchestration frameworks, embedding models, vector databases). Understanding of machine learning and predictive modelling. Proficiency in SQL and working with relational databases. What can Allan Webb offer you? Salary of £35,000 per annum, depending on experience, plus a comprehensive benefits package More ❯

Salary: £70,000 Location: UK-based A high-growth, data-driven company is seeking a hands-on, commercially minded Data Scientist to lead the development of intelligent matching algorithms, predictive models, and advanced recommendation systems. This is a strategic individual contributor role where you'll own high-impact projects from design to deployment and shape the future of search More ❯

Scientist Salary: £70,000Location: UK-based A high-growth, data-driven company is seeking a hands-on, commercially minded Data Scientist to lead the development of intelligent matching algorithms, predictive models, and advanced recommendation systems. This is a strategic individual contributor role where you'll own high-impact projects from design to deployment and shape the future of search More ❯

bring: PhD in a relevant field (or equivalent experience in applied research) Experience working in areas such as: NLP (e.g. text mining, entity linking, transformer models) Graph ML (e.g. predictive models, knowledge graphs) Knowledge representation, ontologies, or semantic reasoning Strong Python programming skills Familiarity with at least one ML framework (e.g. PyTorch, TensorFlow) Clear communicator, able to present work More ❯

management systems. Ensure systems meet business requirements and adhere to industry best practises. Develop, implement, automate, and maintain large-scale enterprise data ETL processes. Build high-performance algorithms, prototypes, predictive models, and proof of concepts. Collaborate with data architects, modellers, and IT team members to achieve project goals. Execute plans and policies that control, protect, and enhance the value More ❯

management systems. Ensure systems meet business requirements and adhere to industry best practises. Develop, implement, automate, and maintain large-scale enterprise data ETL processes. Build high-performance algorithms, prototypes, predictive models, and proof of concepts. Collaborate with data architects, modellers, and IT team members to achieve project goals. Execute plans and policies that control, protect, and enhance the value More ❯