76 to 89 of 89 Statistical Modelling Jobs in London

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 ❯

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 ❯

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 ❯

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 ❯

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 ❯