126 to 144 of 144 Statistical Modelling Jobs in England

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 ❯

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 ❯

experience with Python, including scientific libraries (especially SciPy). Master’s degree in Mathematics, Computer Science, or a closely related quantitative field. Very strong background in mathematics, analytics, or statistical modeling. Proven ability to understand and implement complex mathematical concepts and models. Experience in developing analytic and optimization solutions in a product environment. Valuable: Experience with marketing mix modeling … forecasting, or econometric/statistical modeling. Valuable: Familiarity with NumPy, Pandas, SQL, cloud platforms, Docker, Kubernetes, CI/CD tools. Excellent communication, teamwork, and problem-solving skills. What we offer The opportunity to shape the analytics engine that drives marketing decisions for global brands. Collaborate with a highly skilled, international team. Opportunity to mentor junior engineers or take technical More ❯

experience with Python, including scientific libraries (especially SciPy). Master’s degree in Mathematics, Computer Science, or a closely related quantitative field. Very strong background in mathematics, analytics, or statistical modeling. Proven ability to understand and implement complex mathematical concepts and models. Experience in developing analytic and optimization solutions in a product environment. Valuable: Experience with marketing mix modeling … forecasting, or econometric/statistical modeling. Valuable: Familiarity with NumPy, Pandas, SQL, cloud platforms, Docker, Kubernetes, CI/CD tools. Excellent communication, teamwork, and problem-solving skills. What we offer The opportunity to shape the analytics engine that drives marketing decisions for global brands. Collaborate with a highly skilled, international team. Opportunity to mentor junior engineers or take technical 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 ❯

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 ❯

research into production-ready systems. Key challenges you’ll help tackle: Transform large, messy datasets from legacy systems into structured, usable formats Design, run, and evaluate experiments using rigorous statistical methods Prototype ML models for forecasting, optimization, and recommendation across sales, inventory, and operations Explore and fine-tune LLMs for practical use cases within industry workflows Partner with engineers … using it to uncover insights that drive business value You bring a scientific mindset (Bachelor’s/Master’s/PhD in a quantitative discipline) with strong experimental and statistical reasoning 2+ years of hands-on experience in data science, ML engineering, or applied research Skilled at designing and evaluating experiments with proper baselines, controls, and metrics Excited to More ❯

research into production-ready systems. Key challenges you’ll help tackle: Transform large, messy datasets from legacy systems into structured, usable formats Design, run, and evaluate experiments using rigorous statistical methods Prototype ML models for forecasting, optimization, and recommendation across sales, inventory, and operations Explore and fine-tune LLMs for practical use cases within industry workflows Partner with engineers … using it to uncover insights that drive business value You bring a scientific mindset (Bachelor’s/Master’s/PhD in a quantitative discipline) with strong experimental and statistical reasoning 2+ years of hands-on experience in data science, ML engineering, or applied research Skilled at designing and evaluating experiments with proper baselines, controls, and metrics Excited to 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 ❯

comprehend and tackle physical climate risks. You will be tasked with defining the ML strategy, assembling a high-impact team, and driving real-world innovations in generative AI, geospatial modelling, and time-series forecasting. Responsibilities Develop and refine the company's AI & ML strategy in alignment with product goals and customer needs. Lead, mentor, and expand a talented team … and remote sensing technology for climate hazard detection. Enhancing time-series forecasting to inform risk planning at the asset level. Integrating simulation data with ML for combined physical and statistical modelling. What We're Looking For Demonstrated leadership with extensive hands-on experience. Proven success in deploying ML solutions in production settings. Expertise in at least one of the … communication and collaboration skills across teams. A background in startups or scale-ups. Bonus Points Experience analyzing satellite imagery or Earth-observation data. Familiarity with climate risk assessment, catastrophe modelling, or environmental data. Knowledge of physics-informed ML or simulation-driven methodologies. Experience in regulated or data-sensitive industries. If you find this opportunity appealing, we encourage you to 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 ❯