101 to 125 of 236 Statistical Modelling Jobs in London

models, continuously refining them by incorporating new data to improve accuracy. Build and improve churn prediction models to proactively identify at‐risk subscribers, using statistical or machine learning techniques as needed. Work with large subscription and engagement datasets to calculate LTV and churn while accounting for promotional pricing, seasonality … worked with BI and data visualization tools, ideally Looker Studio, to build dashboards and reports that track KPIs over time. You are familiar with statistical analysis and predictive modeling concepts such as cohort analysis, regression, survival analysis, experimentation, and churn prediction, even if you are not a dedicated data ...

markets, trading strategies, pricing, liquidity, and market behaviour? I'm working with an established analytics and technology business operating at the forefront of sports modelling and predictive analytics. Their quantitative research team develops sophisticated models and automated execution strategies used across global betting markets. This role would suit someone … researching and developing strategies around liquidity, pricing, risk, order book dynamics, market microstructure, trading signals, and execution timing. The role combines advanced statistical modelling with production-quality software development, giving you ownership from research through to deployment. The ideal candidate will have strong Python skills alongside ...

largest lenders and financial services organisations. Working directly with clients, you'll build credit scorecards, develop lending strategies and create statistical models using Credit Reference Agency (CRA) data to help businesses make better lending decisions. This is a highly commercial, client-facing position where you'll own analytical projects … senior stakeholders while balancing technical excellence with commercial impact. You'll be responsible for: Developing acquisition and behavioural credit scorecards using CRA data Building statistical and machine learning models including logistic and linear regression Designing and implementing credit strategies for new and existing customer portfolios Analysing large datasets using ...

processes. Your Skills & Experience Strong experience applying data science techniques within a consumer goods, retail, or customer-focused environment. Demonstrated capability in machine learning, statistical modelling, and predictive analytics. Proficiency with Python, SQL, and relevant data science libraries. Experience working with large and complex datasets to generate business ...

financial services context Experience integrating AI solutions with enterprise operational platforms, accounting engines, and data infrastructure at scale Quantitative Skills - experience applying statistical modelling, data science, or quantitative analysis to financial or operational problems and to determine true impact of capabilities What we can offer you You will ...

lifecycle management. Significant leadership experience in managing data science/R&D teams and driving technology innovation. Extensive experience in AI/ML algorithms, statistical modeling, and scalable data processing pipelines, with a strong background in modern data platforms (e.g. Databricks or equivalent), cloud‐based technologies, data mesh architectures ...

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 ...

clear results orientation with an intense focus on achieving short and long-term goals in an uncertain and fluid environment. Working knowledge of statistical model building, SQL querying, market research, or consulting. Where and how you'll work This is a permanent position based in our London office. ...

Strong SQL skills and experience working with large datasets. Experience using Python, R or equivalent analytical tools for data investigation and analysis. Expertise in statistical analysis, data modelling and visualisation techniques. Experience transforming and analysing data from multiple sources and presenting insights through dashboards and visualisations using Power ...

projects. Partner with product, engineering, data and business stakeholders to drive effective delivery and adoption. Mentor data analysts and establish pragmatic best practices for modelling, experimentation and productionisation. Required Experience & Skills Strong track record delivering data science and machine learning solutions in complex, commercial environments. Deep expertise in Python … statistical modelling, machine learning and modern data science tooling. Demonstrable experience with modern cloud technologies, including Databricks and Azure. Experience taking models and AI solutions from prototype through to production at scale. Proven ability to lead technical teams and influence senior technical and non-technical stakeholders. Strong commercial ...

who... Loves turning data into decisions that drive customer and commercial value. You might already be an experienced pricing professional, or someone with strong modelling and analytics expertise looking to take on broader ownership. If you're curious, commercially minded, and enjoy seeing your ideas move from concept … pricing and ideally experience within motor insurance. A commercially driven mindset, motivated by delivering tangible business value through smart, data-led decision making. Advanced statistical modelling, machine learning and quantitative analytical skills, with the ability to automate insight generation, enhance risk segmentation and translate findings into pricing actions. ...

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 ...

such as gradient boosting, random forests, neural networks, ensemble models and graph-based analytics. Model evaluation, performance tuning and explainability experience. Data science and statistical modelling background, including hypothesis testing, probability, feature selection and experimentation. Hold MLOps, model deployment, versioning, monitoring, retraining and lifecycle management experience. Cloud-native ...

such as gradient boosting, random forests, neural networks, ensemble models and graph-based analytics. Model evaluation, performance tuning and explainability experience. Data science and statistical modelling background, including hypothesis testing, probability, feature selection and experimentation. Hold MLOps, model deployment, versioning, monitoring, retraining and lifecycle management experience. Cloud-native ...

engineering, LLM optimisation, multimodal AI and emerging agentic AI systems (reasoning, planning, and tool using AI agents) Hands on experience applying machine learning techniques, statistical modelling, and generative AI methods to solve complex business problems Programming & Frameworks Advanced proficiency in Python (including NumPy, Pandas, Scikit-learn), with experience ...

ideal candidate will hold a PhD in a related technical field, with expert proficiency in Python and SQL, alongside experience in machine learning and statistical modeling. This role involves mentoring junior team members and collaborating on innovative projects within the blockchain space. #J-18808-Ljbffr ...

market sizing, revenue forecasts, and trade-off analyses to back up high-stakes product investments. Design & Experiment: Leverage A/B testing and statistical models to evaluate new product launches and monetization models. Drive Strategy: Turn millions of data rows into a 3-bullet executive pitch that answers what ...

some of the most exciting technologies in the sector. In terms of day-to-day activities you will be building brand-new statistical models across a number of different applications/sectors including equities and commodities. You will be liaising with partners from across the business with the sole ...

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 ...

will manage analytical workstreams, mentor junior colleagues, and engage regularly with stakeholders up to VP level. In This Role, You Will Apply advanced statistical and machine learning techniques to supply optimisation challenges, delivering data-driven insights and recommendations that create measurable business impact. Extract, structure, and transform data from … multiple sources independently to build datasets suited for modelling and in-depth analysis. Design and execute measurement frameworks — including A/B testing, causal impact analysis, and multivariate methods — selecting the appropriate technique based on the business question and clearly communicating trade-offs. Build, evaluate, and iterate on statistical ...

data assets remain trusted over time. Conduct exploratory data analysis to surface patterns, gaps, anomalies and data-quality issues, and identify opportunities for analysis, modelling or product use. Develop, compare and validate appropriate statistical and machine-learning models for classification, ranking, recommendation, forecasting, anomaly detection, similarity or extraction ...

their shopping tasks at every step of their shopping journey. This innovative role focuses on developing conversation-based, multimodal shopping experiences, utilizing data analysis, statistical modeling, machine learning (ML) technologies, and experimentation to drive product decisions and optimize customer experiences. Our mission in conversational shopping is to make … Perform hands-on analysis and modeling of enormous multimodal datasets to develop insights into how to best help customers throughout their shopping journeys. - Use statistical methods, machine learning, and data mining techniques to create scalable solutions for measuring and optimizing shopping assistant systems based on a rich ...

customer journey. Design, analyze, and interpret A/B tests and other experimentation frameworks to measure product impact and guide roadmap prioritization. Apply advanced statistical and analytical techniques to forecast trends, measure causal impact, and support strategic decision-making in new and growing markets. Partner with global analytics teams … technology environments. Strong expertise in SQL and experience working with large-scale behavioral and transactional datasets. Advanced proficiency in Python for analytics, experimentation, statistical modeling, and data exploration. Extensive experience designing and evaluating experiments, including A/B testing methodologies and causal inference approaches. Strong understanding of KPI development ...

specialist quantitative approach and is designed to deliver highly diversifying absolute returns for institutional portfolios. About the Role iSAM Helix is an Equities Statistical Arbitrage (StatArb) business line within iSAM Funds, which trades 24/6 globally. iSAM Helix has been live since 2021 and continues to evolve rapidly … testing, live trading, analytics, risk, position keeping and P&L. Responsibilities Develop and support complex quantitative StatArb strategies involving large‐scale data processing, sophisticated statistical modelling, portfolio construction and highly optimised execution. Build and maintain systems handling highly diversified equity portfolios. Monitor transaction costs and behaviour ...

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 ...