26 to 47 of 47 Statistical Modelling Jobs in London

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 ...

Quantitative Analyst (or similar), delivering pricing and risk metrics for complex derivatives and structured products Excellent understanding of a variety of mathematical and statistical models, stochastic calculus in particular, and their use in finance Master's Degree or PhD qualification within science, computing, mathematics or other quantitative subject Familiarity ...

focus, with continued expansion of their analytics function. The Role You will sit within the pricing and underwriting data science team, working on core modelling challenges that directly influence commercial performance. Responsibilities include: Developing and improving pricing models to optimise competitiveness in the market Identifying and integrating new data … sources into modelling approaches Building predictive models to simulate customer behaviour and risk outcomes Enhancing tariff structures and pricing strategies using advanced analytics Collaborating with cross functional teams to drive customer acquisition and growth Applying logical reasoning and structured thinking to complex business problems Your Skills and Experience Strong ...

value chain. The ideal candidate will have a degree in a quantitative field and substantial experience in data science, particularly in machine learning and statistical modeling. A strong ability to communicate complex findings to diverse audiences is essential, alongside proficiency in Python and SQL. #J-18808-Ljbffr ...

scale. You will be responsible for translating complex customer and behavioural data into clear, actionable recommendations. You'll establish best practices across experimentation, customer modelling, MLOps, and data science delivery, while supporting the continued growth of the organisation's customer analytics and AI capabilities. Skills and Experience Previous experience … leading or managing Data Science teams in a commercial environment Strong background in machine learning, customer analytics, personalisation, or statistical modelling Experience developing customer-focused models Strong stakeholder management skills Experience delivering data science products and models into production environments If you are looking for a new challenge ...

developing trading systems for commodity derivatives in a systematic hedge fund Experience of working closely with researchers and portfolio managers Basic knowledge of statistical modelling in a financial context Experience with parallel & concurrent processing, e.g. Dask Familiarity with containerised cloud development, deployment and management (Docker, Kubernetes, AWS) Equal ...

supply-demand forecasts as well as modeling the global energy flows and tanker fleet distributions. The team has built a variety of procedural, statistical and machine learning models that enabled us to provide the most accurate and comprehensive view of energy flows. We take pride in applying cutting-edge ...

portfolio optimization, and capital management. The launch of Willis Re brings a strategic advantage of being unhindered by legacy, an ability to leverage data, statistical models and advanced technologies with the best knowledge and expertise to deliver more efficient and effective reinsurance outcomes. This places Willis ...

cross-functional teams including Credit Strategy Managers and Product Managers. The ideal candidate will possess excellent SQL and Python skills, a robust understanding of statistical models, and experience in end-to-end ML development in a consumer-facing industry. Positions are available in Cardiff, London, or remote within ...

ideal candidate should have over 6 years of experience, a strong programming background in Python, and a solid understanding of AI techniques ranging from statistical modeling to NLP. The position offers a hybrid working environment and flexible benefits. #J-18808-Ljbffr ...

field/li , li Significant professional experience (typically 7–12+ years) in AI/ML product development/management, model validation, quantitative research, risk modelling, or related areas/li , li Demonstrated success working with technical teams or senior specialists in high stakes modelling environments/… Deep understanding of AI/ML systems including LLMs, agentic architectures, RAG pipelines, credit or pricing models, or risk modelling techniques/li , li Hands-on experience developing or validating models, performing statistical testing, and analysing model assumptions, limitations, and risks/li , li Familiarity with model evaluation ...

International Consumer Bank (ICB) Risk Modelling team is responsible for developing statistical and machine learning models to reduce fraud and credit risk within ICB. The team also engages with external vendors and supports the onboarding of vendor models, including working through Model Governance to obtain appropriate approvals … executes and prepares model surveillance while providing insights for various regulatory requirements. As an Applied AI Machine Learning Vice President in the ICB Risk Modelling team, you will play a crucial role in analysing business problems and managing and developing machine learning models used to mitigate fraud risk within ...

systems that truly matter – this is for you. What You’ll Be Doing Utilize AI techniques, including machine learning, deep learning, generative AI, and statistical modeling, to develop and implement solutions for tackling real‐world problems such as ranking, chatbot, intent recognition, agentic AI systems, recommender systems, computer vision … etc. Apply strong coding skills, analytical abilities, and innovative thinking to quickly understand new domains and transform creative ideas into functional solutions. Employ statistical and data science methods to make data‐driven decisions. Manipulate large data sets for business insights and drive actionable solutions. Utilize appropriate methods and approaches ...

models, including Generative AI and large language models. Design and deliver synthetic data and data augmentation solutions that enhance existing data assets. Run complex statistical experiments to test model performance and validate hypotheses. Work closely with Product and Engineering to move models from prototype into scalable, production-ready solutions. … text generation or data synthesis. Advanced Python skills within a data science and machine learning stack, alongside strong SQL capability. Solid grounding in statistical methods, experimentation and model evaluation. Experience working with large-scale datasets and modern data platforms. Ability to explain complex technical concepts clearly to non-technical ...

cross-functional discussions, ensuring current systems and infrastructure contribute to the multi-year vision for automated claims handling Set a high bar for statistical rigour, experimentation and measurement, helping improve how Claims performance and uncertainty are understood and communicated to senior stakeholders Who You Are You think in systems … shipping Generative AI systems in production (not just prototypes), including evaluation, safety/quality considerations, and integration into customer or operational workflows Strong statistical and modelling foundation, with experience in risk-based decisioning under uncertainty (e.g., fraud, credit, insurance, or other regulated domains) Proven ability to influence technical ...

role The mission of Borrowing ML Scientists is to improve the customer and business outcomes through better automated decisioning, using Machine Learning and statistical modelling. We have a primary focus on credit risk modelling, with our expertise also applied to predict and optimise utilisation, pricing, collection and marketing. … development. Qualifications Excellent SQL and Python skills with a strong understanding of best practices in software engineering and data engineering. In-depth knowledge of statistical and machine learning models: gradient boosted trees, logistic regression, neural networks, survival analysis, etc. Solid knowledge of statistics: hypothesis testing, confidence intervals, bootstrap. Experience ...

data science and analytics solutions to solve complex business problems * Building internal tools and contributing to the development of data and AI products * Conducting statistical analysis and regression modelling to generate insights * Creating dashboards and visual outputs for business stakeholders * Supporting AI workflow development, including exposure to large … Proficiency in Python, including libraries such as Pandas, NumPy and scikit learn * Strong SQL skills and experience working with structured data * Solid understanding of statistical analysis and regression techniques * Exposure to cloud platforms, ideally Azure, and an understanding of deployment processes * Experience working in cross functional teams, ideally alongside ...

Kingdom We’re looking for a Head of Data Science & AI You’ll lead iwoca's data science function – a group building probabilistic and statistical models that make real-time lending decisions. You’ll also be a key part of how iwoca embeds AI across the wider business: setting … SMEs in their defining moments, creating lasting impact for the communities and economies they drive. The team iwoca's data scientists build probabilistic and statistical models that make lending decisions in real time, support forecasting, and shape commercial strategy. Their work is deployed in production code and has direct ...

TradingHub Founded in 2010, TradingHub delivers uniquely intelligent trade surveillance software to world leading financial institutions. Developed by market professionals, our solutions use sophisticated modelling techniques to detect single and cross-product market manipulation. With a team of over 150 experts based in London, Toronto, Singapore and Sydney, TradingHub … offerings Research and development of broad models of market dynamics across multiple asset classes Prototyping, testing, and validation of TradingHub’s proprietary mathematical/statistical models Use of in‐house big data language for the large‐scale pricing and analysis of security and risk data Implementation and optimisation ...

London, Outside IR35 This contract offers the chance to own end-to-end model delivery within a lean analytics function, working on business-critical modelling initiatives with real production impact. You will join a small, highly capable team where autonomy, technical depth, and clear delivery are valued. The Company … data-driven organisation with a strong focus on pricing and analytics. Operating within a compact analytics team, they are investing in robust, scalable modelling solutions to support ongoing decision-making. The environment is collaborative and delivery-focused, with senior stakeholders closely engaged in the outcomes of the work. ...

full model development lifecycle from data preparation and feature engineering through to testing, validation, and production deployment. Key Responsibilities * Design, develop, and enhance statistical, predictive, and pricing models using SAS * Build modelling datasets, feature engineering pipelines, and variable transformations * Develop SAS programs using: o Base … Experience across: o SAS Base o SAS Macros o SAS SQL o SAS Enterprise Guide/SAS Studio * Experience developing and deploying predictive or statistical models * Strong understanding of: Regression models , Forecasting, Segmentation , Risk or pricing models * Experience working across the full model development lifecycle * Strong data analysis, transformation ...

full model development lifecycle from data preparation and feature engineering through to testing, validation, and production deployment. Key Responsibilities * Design, develop, and enhance statistical, predictive, and pricing models using SAS * Build modelling datasets, feature engineering pipelines, and variable transformations * Develop SAS programs using: o Base … Experience across: o SAS Base o SAS Macros o SAS SQL o SAS Enterprise Guide/SAS Studio * Experience developing and deploying predictive or statistical models * Strong understanding of: Regression models , Forecasting, Segmentation , Risk or pricing models * Experience working across the full model development lifecycle * Strong data analysis, transformation ...