226 to 249 of 249 Statistical Modelling Jobs in the UK

Introduction to team: As a Data Scientist III on our Experimentation Science team, you will play a critical role in shaping the statistical methodologies that underpin Expedia Group's experimentation platform. Your work will ensure that every feature change on our website-from button colors to booking flows-is rigorously tested to maximize business impact. This role blends research … improve hypothesis testing frameworks and experimentation techniques. You will collaborate closely with platform engineers to implement scalable solutions, provide expert guidance to stakeholders, and drive innovation through cutting-edge statistical research. This position offers a unique opportunity to apply deep statistical expertise in a dynamic environment where your contributions directly influence product decisions and customer experiences worldwide. In … this role, you will: Lead the development and validation of advanced statistical methodologies to support Expedia Group's experimentation platform, ensuring robust and reliable A/B testing across the website's features and user experiences Collaborate closely with the experimentation platform team to design, implement, and scale new testing frameworks and tools that enhance the platform's capabilities More ❯

to build new capabilities. Job requirements: Preferably some experience in pricing optimisation and demand forecasting. Analytical skills to transform complex data into actionable insights aligned with business KPIs. Strong statistical and modelling skills, including time series and ensemble models. Experience in manipulating and interpreting data from disparate sources. Proficient in Python coding and core data science libraries, such More ❯

wrangling and model development to delivering insights that shape strategic decisions. What you’ll do Collect, clean, and analyse large datasets from a variety of sources Build and deploy statistical and machine learning models to solve complex business problems Collaborate closely with data engineers and stakeholders to deliver high-impact insights Develop data visualisations and dashboards to communicate findings … Economics Strong academic background – ideally from a Redbrick or Russell Group university Proficient in Python (pandas, NumPy, scikit-learn, etc.) and SQL Solid understanding of machine learning concepts and statistical analysis Strong problem-solving and critical thinking skills Excellent communication and presentation abilities What’s on offer Competitive salary and clear progression path Hybrid working (2–3 days a More ❯

wrangling and model development to delivering insights that shape strategic decisions. What you’ll do Collect, clean, and analyse large datasets from a variety of sources Build and deploy statistical and machine learning models to solve complex business problems Collaborate closely with data engineers and stakeholders to deliver high-impact insights Develop data visualisations and dashboards to communicate findings … Economics Strong academic background – ideally from a Redbrick or Russell Group university Proficient in Python (pandas, NumPy, scikit-learn, etc.) and SQL Solid understanding of machine learning concepts and statistical analysis Strong problem-solving and critical thinking skills Excellent communication and presentation abilities What’s on offer Competitive salary and clear progression path Hybrid working (2–3 days a More ❯

wrangling and model development to delivering insights that shape strategic decisions. What you’ll do Collect, clean, and analyse large datasets from a variety of sources Build and deploy statistical and machine learning models to solve complex business problems Collaborate closely with data engineers and stakeholders to deliver high-impact insights Develop data visualisations and dashboards to communicate findings … Economics Strong academic background – ideally from a Redbrick or Russell Group university Proficient in Python (pandas, NumPy, scikit-learn, etc.) and SQL Solid understanding of machine learning concepts and statistical analysis Strong problem-solving and critical thinking skills Excellent communication and presentation abilities What’s on offer Competitive salary and clear progression path Hybrid working (2–3 days a More ❯

wrangling and model development to delivering insights that shape strategic decisions. What you’ll do Collect, clean, and analyse large datasets from a variety of sources Build and deploy statistical and machine learning models to solve complex business problems Collaborate closely with data engineers and stakeholders to deliver high-impact insights Develop data visualisations and dashboards to communicate findings … Economics Strong academic background – ideally from a Redbrick or Russell Group university Proficient in Python (pandas, NumPy, scikit-learn, etc.) and SQL Solid understanding of machine learning concepts and statistical analysis Strong problem-solving and critical thinking skills Excellent communication and presentation abilities What’s on offer Competitive salary and clear progression path Hybrid working (2–3 days a More ❯

wrangling and model development to delivering insights that shape strategic decisions. What you’ll do Collect, clean, and analyse large datasets from a variety of sources Build and deploy statistical and machine learning models to solve complex business problems Collaborate closely with data engineers and stakeholders to deliver high-impact insights Develop data visualisations and dashboards to communicate findings … Economics Strong academic background – ideally from a Redbrick or Russell Group university Proficient in Python (pandas, NumPy, scikit-learn, etc.) and SQL Solid understanding of machine learning concepts and statistical analysis Strong problem-solving and critical thinking skills Excellent communication and presentation abilities What’s on offer Competitive salary and clear progression path Hybrid working (2–3 days a 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 ❯

strategy through data – identifying what works, what doesn’t, and what could. This role is hands-on and embedded within cross-functional teams, requiring a strong foundation in data modelling, advanced SQL, and stakeholder collaboration. Your responsibilities will include: Analyse customer behaviours, journeys, and key lifecycle moments to inform segmentation, targeting, and engagement strategies. Design and measure our marketing … evolve our marketing strategy through a continuous cycle of testing & learning. Build end-to-end analytics solutions that support growth objectives such as cross-sell and retention, from data modelling through to developing dashboards Translate stakeholder needs into technical data requirements and collaborate with Data Engineers to deliver scalable, reliable solutions. Create strategic dashboards in Looker and Mixpanel to … support decision-making across Customer Marketing and CRM teams. Develop attribution frameworks or statistical models to understand marketing impact across customer touchpoints better. Become a go-to analytics partner for Customer Marketing — providing proactive insight and helping drive a more data-informed culture. So why pick UW? We’ve got big ambitions so there’s going to be plenty 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 ❯

Manager , where you'll lead the development of advanced pricing models and strategies across key personal lines products. The Opportunity In this pivotal role, you'll take ownership of statistical risk modelling and pricing frameworks for products including Private Car, Van, Bike, and Household . Working closely with expert teams across pricing, underwriting, and data science, you'll … strategic decisions that drive both profitability and market competitiveness . This is a brilliant role for a technically strong, commercially minded pricing specialist who wants to combine hands-on modelling with strategic influence in a business that values innovation, collaboration, and continuous improvement. Key Responsibilities Lead the design, development, and refinement of pricing models and risk segmentation frameworks across … multiple personal lines portfolios. Apply statistical and machine learning techniques to identify performance trends, insights, and opportunities for optimisation. Support the execution of pricing and underwriting strategies that balance growth, retention, and profitability. Deliver clear, actionable insights and present recommendations to senior stakeholders across pricing, underwriting, and finance. Champion innovation by identifying and implementing enhancements to models, tools, data More ❯

Manager , where you'll lead the development of advanced pricing models and strategies across key personal lines products. The Opportunity In this pivotal role, you'll take ownership of statistical risk modelling and pricing frameworks for products including Private Car, Van, Bike, and Household . Working closely with expert teams across pricing, underwriting, and data science, you'll … strategic decisions that drive both profitability and market competitiveness . This is a brilliant role for a technically strong, commercially minded pricing specialist who wants to combine hands-on modelling with strategic influence in a business that values innovation, collaboration, and continuous improvement. Key Responsibilities Lead the design, development, and refinement of pricing models and risk segmentation frameworks across … multiple personal lines portfolios. Apply statistical and machine learning techniques to identify performance trends, insights, and opportunities for optimisation. Support the execution of pricing and underwriting strategies that balance growth, retention, and profitability. Deliver clear, actionable insights and present recommendations to senior stakeholders across pricing, underwriting, and finance. Champion innovation by identifying and implementing enhancements to models, tools, data 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 ❯

Python programming with a focus on data manipulation and engineering. A genuine interest in data science and a drive to expand your skillset into predictive analytics, machine learning, or statistical modeling. Strong analytical and problem-solving skills with a passion for optimising workflows. Excellent communication and teamwork abilities to thrive in a dynamic consultancy environment. Data modelling experience More ❯

drive the analytical rigor behind our cyber threat intelligence efforts. In this highly impactful, hands-on role, you will be instrumental inresearching, developing, and applying advanced analytical techniques and statistical models to massive datasets from our global network. Your work will uncover patterns, identify anomalies, and build predictive insights to detect and neutralize sophisticated cyber threats. You'll directly … to solve complex cybersecurity challenges at an unprecedented scale, we want you on our team. The ideal candidate will possess a strong foundational knowledge of data science principles and statistical modeling. Day-to-day responsibilities include: Collaborate with other Data Scientists and Machine Learning Engineers to design and implement analytical approaches that inform scalable threat detection models. Partner with … leverage data to develop novel detection strategies and expose findings. Perform in-depth data analysis to identify trends, relationships, and anomalies within vast security datasets. Develop, validate, and refine statistical and machine learning models for threat detection and intelligence generation. Monitor the performance of analytical models and threat intelligence pipelines, continuously identifying opportunities for improvement and refinement. Investigate and More ❯

decisions across the business. What youll be doing Writing advanced SQL to query, transform and model complex datasets. Using Python (pandas, NumPy, scikit-learn) to analyse data and build statistical or predictive models. Applying statistical techniques to uncover trends and measure business impact. Collaborating with Data Scientists, Analysts, and Engineers to automate and improve data workflows. Presenting clear More ❯

t be around for too long! Responsibilities Work with senior colleagues and internal stakeholders to spot business opportunities to leverage data science techniques and add business value. Build relevant statistical/machine learning models related to said projects. Communicate findings effectively to stakeholders to encourage adoption. Find brilliant new ways of tackling their problems - innovation will be a key … job. Requirements A relatable STEM/Computer Science degree (ideally MSc and above but all backgrounds considered). Commercial Data Science experiemcn Excellent Python & SQL skills. Strong Machine Learning & Statistical knowledge Ideally LLMS/GenAI experience. Spark and/or Databricks experience would be a lovely bonus. If this role interests you and you would like to learn more More ❯

Quantitative Analyst required by a sports trading company based in central London. The company have been established for more than 10 years, successfully developing statistical models and analytical frameworks. The successful Quantitative Analyst will work within the prediction team, using extensive datasets to enhance existing predictive models as well as researching new methods. The role will be working alongside … a team of Quants, Developers, and Analysts. Due to the nature of the business this is mainly an office-based role. Experience required: 3+ years' experience within predictive modelling, machine learning, and probability theory. Ideally this would be within sports or gaming/betting industries. Understanding of techniques such as Monte Carlo simulation, Bayesian modelling, GLMs, mixed effects More ❯

Quantitative Analyst required by a sports trading company based in central London. The company have been established for more than 10 years, successfully developing statistical models and analytical frameworks. The successful Quantitative Analyst will work within the prediction team, using extensive datasets to enhance existing predictive models as well as researching new methods. The role will be working alongside … a team of Quants, Developers, and Analysts. Due to the nature of the business this is mainly an office-based role. Experience required: 3+ years' experience within predictive modelling, machine learning, and probability theory. Ideally this would be within sports or gaming/betting industries. Understanding of techniques such as Monte Carlo simulation, Bayesian modelling, GLMs, mixed effects 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 ❯

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 ❯

Overview Football Radar For over a decade, Football Radar has excelled in developing statistical models and analytical frameworks for football. Our expertise extends to providing advisory services to football clubs and offering leading-edge betting advice that has consistently delivered outstanding returns for our clients. We define ourselves as a unique blend of start-up dynamism and established business … matches. In the role of a Software Engineer, you will be responsible for helping build and maintain the software that makes that possible - everything from modern web applications to statistical models, real time data platforms to cloud infrastructure. As a growing company it is key that our software engineers have the adaptability to change and respond to the needs … big impact here, it will help if you have domain expertise - you will probably be a big football fan, and ideally someone who is comfortable with the mathematical and statistical approaches we are applying to the game. If you have any experience with sports betting or football analytics that is a bonus. We'd love to hear from you More ❯