1 to 25 of 26 Remote/Hybrid Statistical Modelling Jobs in London

Instagram and X! Your New Role... We are looking for the Advanced Analytics Lead who will be responsible for owning, developing and delivering advanced statistical and regression-based analytics that underpin a new measurement solution within the Audiences & Data portfolio. This role sits at the intersection of statistical modelling, insight generation and commercial application. The successful candidate will be the analytical authority on how perception, brand and influence data are modelled, interpreted and translated into robust, defensible insight for clients and internal stakeholders. This is a hands-on senior analytics role, requiring deep expertise in regression ...

industry Knowledge of time‐value of money concepts, risk return frameworks, asset allocation models highly desirable Good applied statistics skills, such as distributions, statistical testing, regression, etc. Proficiency in using query languages such as SQL desirable Experience with common data science toolkits, such as R desirable Experience with Microsoft … corresponding statistics like K‐means, Bayesian, Clustering Strong technical skills with Python along with NumPy, Pandas, Scikit‐Learn Machine learning experience -> predictive and prescriptive modelling Data wrangling and data cleansing experience Strong analytical skills Any experience with Node.JS would be beneficial. Statistical/mathematical background Business Verticals: Telecom ...

community. There is only one Hotspur. Tottenham Hotspur. Role Purpose The Lead Data Scientist is responsible for leading the development and refinement of advanced statistical models and machine learning techniques, creating innovative metrics and diverse insights that enhance the analysis of player and team performance. They will be exploring … analysis, coaching, and the Academy to translate research into on-pitch impact in pursuit of the Clubs ambitious footballing vision. Key Responsibilities Develop advanced statistical and machine learning models to generate innovative metrics and insights from varied and complex data sources, enhancing the understanding of player and team performance. ...

including Residual Value and SMR, Insurance Lease Pricing, Economic Capital, as well as producing the customer pricing. This role sits in the Asset Risk Modelling Team, operating in a matrix management operation, responsible for operating a strong model risk management framework that ensures models are a trusted asset … implemented, operated, enhanced and developed in conjunction with joint ownership for the outcomes and outputs with business SME's. Reporting into the Asset Risk Modelling Manager, the role has the following key responsibilities You will operationalise the model risk management framework in Asset Risk, ensuring model health, reporting, processing ...

Science experience within a commercial environment Strong Python and SQL skills Experience developing and deploying machine learning models into production environments Excellent understanding of statistical modelling, experimentation, and model evaluation Strong feature engineering and exploratory data analysis capabilities Experience communicating technical findings and insights to non-technical stakeholders … learning models to solve real-world business challenges Performing exploratory data analysis, feature engineering, model development, and evaluation Building forecasting, classification, segmentation, and predictive modelling solutions Designing and executing statistical analyses and experiments to support strategic decision-making Translating complex analytical findings into clear recommendations for senior stakeholders ...

looking for Quantitative Finance professionals to work with our researchers to improve the performance of AI models. You will apply your expertise in quantitative modelling, statistical analysis, algorithmic strategy development, and financial engineering to evaluate and train AI systems. If you enjoy solving complex quantitative problems … apply. No prior AI experience is required. What Does Day-to-Day Look Like Evaluate LLM models on quantitative finance topics such as stochastic modelling, derivatives pricing, statistical arbitrage, and risk quantification. Create rubrics to assess model capabilities on tasks like options pricing, Monte Carlo simulation, factor model ...

looking for Quantitative Finance professionals to work with our researchers to improve the performance of AI models. You will apply your expertise in quantitative modelling, statistical analysis, algorithmic strategy development, and financial engineering to evaluate and train AI systems. If you enjoy solving complex quantitative problems … apply. No prior AI experience is required. What Does Day-to-Day Look Like Evaluate LLM models on quantitative finance topics such as stochastic modelling, derivatives pricing, statistical arbitrage, and risk quantification. Create rubrics to assess model capabilities on tasks like options pricing, Monte Carlo simulation, factor model ...

looking for Quantitative Finance professionals to work with our researchers to improve the performance of AI models. You will apply your expertise in quantitative modelling, statistical analysis, algorithmic strategy development, and financial engineering to evaluate and train AI systems. If you enjoy solving complex quantitative problems … apply. No prior AI experience is required. What Does Day-to-Day Look Like Evaluate LLM models on quantitative finance topics such as stochastic modelling, derivatives pricing, statistical arbitrage, and risk quantification. Create rubrics to assess model capabilities on tasks like options pricing, Monte Carlo simulation, factor model ...

looking for Quantitative Finance professionals to work with our researchers to improve the performance of AI models. You will apply your expertise in quantitative modelling, statistical analysis, algorithmic strategy development, and financial engineering to evaluate and train AI systems. If you enjoy solving complex quantitative problems … apply. No prior AI experience is required. What Does Day-to-Day Look Like Evaluate LLM models on quantitative finance topics such as stochastic modelling, derivatives pricing, statistical arbitrage, and risk quantification. Create rubrics to assess model capabilities on tasks like options pricing, Monte Carlo simulation, factor model ...

looking for Quantitative Finance professionals to work with our researchers to improve the performance of AI models. You will apply your expertise in quantitative modelling, statistical analysis, algorithmic strategy development, and financial engineering to evaluate and train AI systems. If you enjoy solving complex quantitative problems … apply. No prior AI experience is required. What Does Day-to-Day Look Like Evaluate LLM models on quantitative finance topics such as stochastic modelling, derivatives pricing, statistical arbitrage, and risk quantification. Create rubrics to assess model capabilities on tasks like options pricing, Monte Carlo simulation, factor model ...

looking for Quantitative Finance professionals to work with our researchers to improve the performance of AI models. You will apply your expertise in quantitative modelling, statistical analysis, algorithmic strategy development, and financial engineering to evaluate and train AI systems. If you enjoy solving complex quantitative problems … apply. No prior AI experience is required. What Does Day-to-Day Look Like Evaluate LLM models on quantitative finance topics such as stochastic modelling, derivatives pricing, statistical arbitrage, and risk quantification. Create rubrics to assess model capabilities on tasks like options pricing, Monte Carlo simulation, factor model ...

looking for Quantitative Finance professionals to work with our researchers to improve the performance of AI models. You will apply your expertise in quantitative modelling, statistical analysis, algorithmic strategy development, and financial engineering to evaluate and train AI systems. If you enjoy solving complex quantitative problems … apply. No prior AI experience is required. What Does Day-to-Day Look Like Evaluate LLM models on quantitative finance topics such as stochastic modelling, derivatives pricing, statistical arbitrage, and risk quantification. Create rubrics to assess model capabilities on tasks like options pricing, Monte Carlo simulation, factor model ...

Machine Learning Engineer to design, build and deploy advanced analytical solutions that drive business value. This role is ideal for someone who combines strong statistical and machine learning expertise with hands-on experience productionising models and building scalable ML systems. Machine Learning Engineer, key skills: Strong experience in Python … containerisation (Docker, Kubernetes) Experience building data pipelines and working with large datasets (SQL, Spark or similar) Strong understanding of machine learning algorithms and statistical modelling techniques Experience collaborating across data science and engineering teams Machine Learning Engineer, Python, MLOps, model deployment Reasonable Adjustments: Respect and equality are core ...

assess maturity, identify opportunities, and design practical AI roadmaps. Build predictive models, analytical tools, and data products using a wide range of machine learning, statistical, and data science techniques across structured and unstructured data. Leverage market and client knowledge to co‐create innovative solutions across WTW, acting … orchestration AI evaluation frameworks Neuro symbolic frameworks Experience with major cloud platforms such as Azure or AWS Strong understanding of machine learning and statistical modelling principles, with the ability to explain model behaviour, assumptions, and trade offs Experience working with real world structured and unstructured data, and building ...

making Analyse large and complex datasets to uncover actionable insights Collaborate with analysts and engineers to deploy and productionise models Contribute to a greenfield modelling environment and help shape best practices Take ownership of projects with visibility across the wider business Your Skills and Experience Strong academic background … STEM subject such as Mathematics, Data Science, Computer Science, or similar Solid programming skills, ideally in Python Understanding of statistical modelling and machine learning fundamentals Hands-on experience through internships, placements, or personal projects Demonstrated curiosity and initiative, such as side projects or GitHub work Clear communication skills ...

delivering advanced analytics and data science solutions, helping to turn complex datasets into actionable insights. Key responsibilities include: Developing and deploying predictive models and statistical analysis Working with large, complex datasets to identify trends and insights Collaborating with data engineers and stakeholders to shape data solutions Supporting decision-making … experience as a Data Scientist in complex or regulated environments Strong skills in Python (or similar) and data science libraries Experience with machine learning, statistical modelling and data analysis Ability to communicate technical findings to non-technical stakeholders Experience in public sector or government environments is highly desirable ...

across feature engineering, training, validation, and ongoing performance monitoring.* Work closely with application and logic developers to embed models into operational decision workflows.* Develop statistical and machine learning models for personalisation, propensity scoring, and next-best-action use cases.* Design and run experiments, including A/B testing … client-facing or consulting environments.* Advanced capability in Python and or R, with hands-on use of modern machine learning libraries.* Deep understanding of statistical modelling, experimentation, and model evaluation techniques.* Experience deploying and operating models on cloud platforms such as AWS, GCP, or Azure.* Proven ability ...

build innovative, best-in-class models and tools that provide a genuine competitive advantage. The Opportunity Lead the development of advanced analytics and predictive modelling solutions that address real business challenges Partner with senior stakeholders to understand priorities, shape analytical approaches, and translate insight into action Oversee the design … deployment of models using a range of techniques including predictive modelling, machine learning, GLMs, GBMs, and NLP Guide and mentor a growing team of data scientists and predictive modellers, supporting capability development and best practice Explore internal and external data sources to generate insight and improve commercial performance Help ...

build innovative, best-in-class models and tools that provide a genuine competitive advantage. The Opportunity Lead the development of advanced analytics and predictive modelling solutions that address real business challenges Partner with senior stakeholders to understand priorities, shape analytical approaches, and translate insight into action Oversee the design … deployment of models using a range of techniques including predictive modelling, machine learning, GLMs, GBMs, and NLP Guide and mentor a growing team of data scientists and predictive modellers, supporting capability development and best practice Explore internal and external data sources to generate insight and improve commercial performance Help ...

build innovative, best-in-class models and tools that provide a genuine competitive advantage. The Opportunity Lead the development of advanced analytics and predictive modelling solutions that address real business challenges Partner with senior stakeholders to understand priorities, shape analytical approaches, and translate insight into action Oversee the design … deployment of models using a range of techniques including predictive modelling, machine learning, GLMs, GBMs, and NLP Guide and mentor a growing team of data scientists and predictive modellers, supporting capability development and best practice Explore internal and external data sources to generate insight and improve commercial performance Help ...

build innovative, best-in-class models and tools that provide a genuine competitive advantage. The Opportunity Lead the development of advanced analytics and predictive modelling solutions that address real business challenges Partner with senior stakeholders to understand priorities, shape analytical approaches, and translate insight into action Oversee the design … deployment of models using a range of techniques including predictive modelling, machine learning, GLMs, GBMs, and NLP Guide and mentor a growing team of data scientists and predictive modellers, supporting capability development and best practice Explore internal and external data sources to generate insight and improve commercial performance Help ...

develop in-house capabilities and solutions that directly enhance our Marketing Effectiveness proposition. HOW YOU WILL MAKE AN IMPACT Maintain and enhance core Python modelling tools for the Marketing Effectiveness team. Manage the migration of manual workflows into automated, production-ready software. Develop in-house technical solutions that directly … TEAM MUST HAVE SKILLS Strong Python engineering skills, writing clean, modular, and production-ready code. Data science experience, applying machine learning and statistical models for Marketing Mix Modelling (MMM) and Econometrics. Excellent communication skills, able to explain complex concepts to both technical and non-technical audiences. Strong command ...

develop in-house capabilities and solutions that directly enhance our Marketing Effectiveness proposition. HOW YOU WILL MAKE AN IMPACT Maintain and enhance core Python modelling tools for the Marketing Effectiveness team. Manage the migration of manual workflows into automated, production-ready software. Develop in-house technical solutions that directly … TEAM MUST HAVE SKILLS Strong Python engineering skills, writing clean, modular, and production-ready code. Data science experience, applying machine learning and statistical models for Marketing Mix Modelling (MMM) and Econometrics. Excellent communication skills, able to explain complex concepts to both technical and non-technical audiences. Strong command ...

develop in-house capabilities and solutions that directly enhance our Marketing Effectiveness proposition. HOW YOU WILL MAKE AN IMPACT Maintain and enhance core Python modelling tools for the Marketing Effectiveness team. Manage the migration of manual workflows into automated, production-ready software. Develop in-house technical solutions that directly … TEAM MUST HAVE SKILLS Strong Python engineering skills, writing clean, modular, and production-ready code. Data science experience, applying machine learning and statistical models for Marketing Mix Modelling (MMM) and Econometrics. Excellent communication skills, able to explain complex concepts to both technical and non-technical audiences. Strong command ...

develop in-house capabilities and solutions that directly enhance our Marketing Effectiveness proposition. HOW YOU WILL MAKE AN IMPACT Maintain and enhance core Python modelling tools for the Marketing Effectiveness team. Manage the migration of manual workflows into automated, production-ready software. Develop in-house technical solutions that directly … TEAM MUST HAVE SKILLS Strong Python engineering skills, writing clean, modular, and production-ready code. Data science experience, applying machine learning and statistical models for Marketing Mix Modelling (MMM) and Econometrics. Excellent communication skills, able to explain complex concepts to both technical and non-technical audiences. Strong command ...