51 to 66 of 66 Statistical Modelling Jobs in the UK excluding London

user interface, or streamlining and automating data refresh processes. What you'll be working on Building and improving price optimisation machine learning pipelines including data validation, classification, clustering, predictive modelling, neural networks, statistical model evaluation, optimisation, and process automation. Preparing presentations for clients based on data and market insights Interacting with clients on a regular basis and providing … pricing guidance based on data insights R&D of new modelling algorithms, optimisation methodologies and process improvements Supporting business development activities including involvement in new client pitches What we're looking for Strong academic background with a minimum bachelor’s or master’s degree in a STEM subject (Mathematics, Computer Science or Engineering) Experience working in a data science More ❯

designing, training, and deploying machine learning models in production. Strong proficiency in Python and key ML frameworks ( PyTorch , TensorFlow , scikit-learn ). Deep understanding of machine learning algorithms and statistical modelling. Ability to work independently while collaborating effectively within technical teams. Excellent analytical , problem-solving , and communication skills. NICE TO HAVE: Hands-on experience with LLMs and Natural Language More ❯

SKILLS REQUIRED Microsoft Dynamics Business Central Microsoft Power BI Microsoft Excel advanced user SAP Business Objects Excellent communication and interpretation skills Excellent numerical and analytical skills Knowledge of advanced statistical models, graphs and databases The ability to interpret data and offer recommendations based on that interpretation. Proficiency in computer programs and data analysis tools Ability to distinguish between reliable More ❯

SKILLS REQUIRED Microsoft Dynamics Business Central Microsoft Power BI Microsoft Excel advanced user SAP Business Objects Excellent communication and interpretation skills Excellent numerical and analytical skills Knowledge of advanced statistical models, graphs and databases The ability to interpret data and offer recommendations based on that interpretation. Proficiency in computer programs and data analysis tools Ability to distinguish between reliable More ❯

SKILLS REQUIRED Microsoft Dynamics Business Central Microsoft Power BI Microsoft Excel advanced user SAP Business Objects Excellent communication and interpretation skills Excellent numerical and analytical skills Knowledge of advanced statistical models, graphs and databases The ability to interpret data and offer recommendations based on that interpretation. The ideal person will be commercial and be able to produce and communicate More ❯

SKILLS REQUIRED Microsoft Dynamics Business Central Microsoft Power BI Microsoft Excel advanced user SAP Business Objects Excellent communication and interpretation skills Excellent numerical and analytical skills Knowledge of advanced statistical models, graphs and databases The ability to interpret data and offer recommendations based on that interpretation. The ideal person will be commercial and be able to produce and communicate More ❯

SKILLS REQUIRED Microsoft Dynamics Business Central Microsoft Power BI Microsoft Excel advanced user SAP Business Objects Excellent communication and interpretation skills Excellent numerical and analytical skills Knowledge of advanced statistical models, graphs and databases The ability to interpret data and offer recommendations based on that interpretation. The ideal person will be commercial and be able to produce and communicate More ❯

SKILLS REQUIRED Microsoft Dynamics Business Central Microsoft Power BI Microsoft Excel advanced user SAP Business Objects Excellent communication and interpretation skills Excellent numerical and analytical skills Knowledge of advanced statistical models, graphs and databases The ability to interpret data and offer recommendations based on that interpretation. The ideal person will be commercial and be able to produce and communicate More ❯

and software developers to ensure predictive models are seamlessly integrated into sensor platforms for rapid and reliable health assessments. Key responsibilities include: Design, develop, and validate machine learning and statistical models for analysing multimodal sensor data Optimise algorithms for deployment on embedded systems to support real-time health assessment. Collaborate with electronics engineers to interface machine learning models with … you: PhD or equivalent industrial experience in Computer Science, Data Science, Biomedical Engineering, Applied Mathematics, or a closely related discipline with a focus on machine learning or data-driven modelling Proven expertise in developing, training, and validating machine learning and statistical models for predictive analytics and real-time data interpretation Demonstrated ability to integrate ML algorithms with sensor More ❯

strategies and predictive modelling. You'll work closely with cross-functional teams to build tools and insights that support effective risk mitigation and informed decision-making. Key Responsibilities: Develop statistical and machine learning models to simulate risk scenarios. Analyse large datasets to uncover trends and emerging risks. Translate insights into actionable risk mitigation strategies. Build dashboards and visualisations for … clean, integrated data. Continuously refine models to adapt to evolving risk landscapes. Requirements: Experience as a data scientist. Strong Python and SQL skills. Experience with machine learning frameworks and statistical analysis. Knowledge of LLMs and AI modelling tools. Excellent communication and problem-solving skills. Comfortable working in a fast-paced, collaborative environment. Benefits: Salary up to More ❯

strategies and predictive modelling. You'll work closely with cross-functional teams to build tools and insights that support effective risk mitigation and informed decision-making. Key Responsibilities: Develop statistical and machine learning models to simulate risk scenarios. Analyse large datasets to uncover trends and emerging risks. Translate insights into actionable risk mitigation strategies. Build dashboards and visualisations for … clean, integrated data. Continuously refine models to adapt to evolving risk landscapes. Requirements: Experience as a data scientist. Strong Python and SQL skills. Experience with machine learning frameworks and statistical analysis. Knowledge of LLMs and AI modelling tools. Excellent communication and problem-solving skills. Comfortable working in a fast-paced, collaborative environment. Benefits: Salary up to More ❯

strategies and predictive modelling. You'll work closely with cross-functional teams to build tools and insights that support effective risk mitigation and informed decision-making. Key Responsibilities: Develop statistical and machine learning models to simulate risk scenarios. Analyse large datasets to uncover trends and emerging risks. Translate insights into actionable risk mitigation strategies. Build dashboards and visualisations for … clean, integrated data. Continuously refine models to adapt to evolving risk landscapes. Requirements: Experience as a data scientist. Strong Python and SQL skills. Experience with machine learning frameworks and statistical analysis. Knowledge of LLMs and AI modelling tools. Excellent communication and problem-solving skills. Comfortable working in a fast-paced, collaborative environment. Benefits: Salary up to More ❯

Remote UK BASED CANDIDATES ONLY My client is looking for an experienced Machine Learning Engineer ready to play a pivotal role in shaping the technical direction of their behavioural modelling and threat detection systems. This position offers the opportunity to influence not just their engineering roadmap, but how they fundamentally approach solving complex, real-world security challenges with data. … and engineering disciplines. What We're Looking For Hands-on experience in developing and deploying machine learning models at scale. Deep familiarity with core ML concepts (classification, time-series, statistical modeling) and their real-world tradeoffs. Fluency in Python and commonly used ML libraries (e.g. pandas, scikit-learn; experience with PyTorch or TensorFlow is a plus). Experience with More ❯

with the Head of Analytics to deliver actionable insights across the 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 Translate complex analysis into clear recommendations for non-technical stakeholders What You'll Need: Strong SQL and Python skills; experience in AWS environments is a plus Solid statistical analysis background (segmentation, regression, forecasting) Hands-on, adaptable, and comfortable in a smaller, fast-moving team environment Excellent communication skills and ability to take ownership of projects Experience delivering actionable More ❯

algorithms for commercial projects with a particular focus on LLMs and RAGs. Collaborate with cross-functional commercial and business teams, to understand business requirements and identify opportunities for deploying statistical models. Building production level Machine Learning models and be hands on in deployment. Evaluating and select appropriate machine learning techniques and algorithms for solving commercial challenges. YOUR SKILLS & EXPERIENCE … A successful AI Engineer will have the following: Have a number of years of commercial experience in a Data Science role building statistical & machine learning models. Have built and deployed machine learning models in production. Excellent use of Python Particular experience in NLP, LLMs, and RAGs are highly prized given the focus on these projects. CI/CD & MLOps More ❯

process large volumes of data acquired during seismic surveys, providing industry-leading subsurface imaging and characterisation. The system incorporates advanced computational algorithms and software components built on mathematical and statistical models of physical phenomena, particularly wave propagation in complex media. The Software Geophysicist contributes by developing new algorithms and models and extending existing software solutions to meet evolving business … testing ; set up and execute laboratory simulations. Design and implement testing procedures , coordinating with colleagues to automate and streamline test processes. Develop analyses and models , including physical, mathematical, and statistical representations of geophysical phenomena. Enhance and optimize software performance and functionality. Create and maintain user documentation to support product adoption and usability. Manage product code and artifacts within configuration More ❯