101 to 125 of 271 Statistical Modelling Jobs in London

engage with clients to help them understand the implications and make plans to act on them. What you'll do: Develop and apply advanced statistical models that help clients understand dynamic business issues. Leverage analytic techniques to use data to guide client and ZS team decision-making. Use tools ...

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. ...

design of data specifications, field mappings, and data quality assessments for pricing and rating factor datasets. Assist in the design and validation of modelling datasets and analytical frameworks that support statistical pricing models (e.g., GLMs). Prepare clear, concise analytical outputs and presentations suitable for both technical ...

Data Scientist. This builds on the knowledge of the Data+ certification and enables you to demonstrate your knowledge in advanced data processing, cleaning, and statistical modelling concepts. You will demonstrate your knowledge of machine learning, industry trends and use of specialised data science applications. You will also apply … mathematical and statistical methods appropriately. Step 5 is not a requirement for our job guarantee as this stage is designed to advance your data career to the next level. Our money back guarantee If after 1 year of passing your formal qualifications, we have been unable to help ...

Moody's Investors Service in Greater London is seeking a candidate to develop statistical models for tropical cyclone risk assessment. The ideal candidate will have a PhD in a relevant field and strong skills in statistical modelling and programming (Python, R, or Julia). Responsibilities include conducting … research on tropical cyclone behavior, collaborating with cross-functional teams, and implementing advanced modelling methodologies. Join a dedicated team advancing catastrophe modelling and climate risk analytics in a multidisciplinary environment. #J-18808-Ljbffr ...

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 ...

training re-rankers. Entity/relationship extraction/resolutionKnowledge Graphs; building and inference, graphRAGRecommendation systems and ranking: personalisation, learning-to-rank, feed ranking, user modelling, etc. Tabular ML: feature engineering, structured data modelling (GBDTs, etc.)Statistical & Predictive Modelling: supervised ML, anomaly detection, temporal modelling, etc. ...

rankers. Entity/relationship extraction/resolution Knowledge Graphs; building and inference, graphRAG Recommendation systems and ranking: personalisation, learning-to-rank, feed ranking, user modelling, etc. Tabular ML: feature engineering, structured data modelling (GBDTs, etc.) Statistical & Predictive Modelling: supervised ML, anomaly detection, temporal modelling, etc. ...

intelligence forward, and help businesses unlock sustainable growth. Role Overview We're looking for a Senior Data Scientist who can combine the rigour of statistical modelling with the creativity of real-world storytelling. You'll design and deliver AI/ML models that are not just accurate … variety of projects and products. Key Responsibilities Design and build machine learning models for: Forecasting (e.g. demand, revenue) using tools such as Prophet Propensity modelling for churn, conversion, and cross-sell Customer segmentation using k-means or advanced clustering techniques Own end-to-end data workflows: feature creation, data ...

operating production‐grade models within financial services or other highly regulated, high‐availability environments. Deep expertise in applied data science and ML, including statistical modelling, predictive analytics, model development, validation, deployment, monitoring, and optimisation across the full model lifecycle. Strong hands‐on technical skills, with the ability … delivering models that perform reliably in production and create tangible business value. Excellent communication and stakeholder management skills, with the ability to clearly explain modelling decisions, assumptions, risks, and limitations to both technical and non-technical audiences. Influential leadership and collaboration, capable of driving alignment and technical excellence across ...

operating production-grade models within financial services or other highly regulated, high-availability environments. Deep expertise in applied data science and ML, including statistical modelling, predictive analytics, model development, validation, deployment, monitoring, and optimisation across the full model lifecycle. Strong hands-on technical skills, with the ability … delivering models that perform reliably in production and create tangible business value. Excellent communication and stakeholder management skills, with the ability to clearly explain modelling decisions, assumptions, risks, and limitations to both technical and non-technical audiences. Influential leadership and collaboration, capable of driving alignment and technical excellence across ...

area). Hands-on experience designing, prototyping, productionizing, and scaling complex ML systems in production environments. Deep and demonstrable expertise in machine learning algorithms, statistical modelling, optimisation techniques, and scientific computing with a consistent record of applying these to deliver production-grade products. Strong software engineering and system … into deployable, production-grade ML products. Experience applying AI/ML to scientific, engineering, or R&D workflows encompassing experimentation, simulation, optimisation, physics-informed modelling, and autonomous scientific workflows. Strong experience with generative AI (LLMs, RAG, multimodal systems) and their deployment in production. Experience designing or deploying Agentic ...

electronic health records and linked population data, to generate insights into disease patterns, healthcare delivery, and outcomes. The role involves developing and applying advanced statistical and computational methods, including machine learning approaches, to support high-impact research. The postholder will collaborate with clinicians, statisticians, and data scientists across … track record of academic research and publication Required Expertise/Skills Strong programming skills in languages such as R, Python, or similar Experience with statistical modelling and machine learning techniques Ability to manage and analyse complex datasets, including data linkage Knowledge of health data governance, ethics, and data ...

About Winton Winton is a research-based investment management company with a specialist focus on statistical and mathematical inference in financial markets. The firm researches and trades quantitative investment strategies, which are implemented systematically via thousands of securities, spanning the world's major liquid asset classes. Founded … trading systems for commodity derivatives, ideally within a systematic hedge fund Experience of working closely with researchers and portfolio managers Basic knowledge of statistical modelling in a financial context Exposure to parallel & concurrent processing, e.g. Dask Familiarity with containerised cloud development, deployment and management (Docker Equal Opportunity Workplace ...

Commercial Targeting and Modelling Manager Required to be based in either London, Coventry or Glasgow. As a Barclays Commercial Targeting and Modelling Manager, you will have responsibility for a named business line, and will drive the marketing strategy for customer contacts to deliver near-perfect/relevant targeting … relationships with the Product and Channel teams to drive through plans and strategy. Communicating the recommendations of analysis to senior stakeholders to maximise performance. Statistical modelling to enhance the marketing campaign touchpoints. Qualifications Analytical experience, preferably within the financial services, products or segments, digital or Telco industries. Excellent ...

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 ...

data across the R&D organization. Support data analysis activities by performing data mining, data exploration, feature engineering, and contributing to AI/ML, statistical, and modeling projects alongside data scientists and laboratory scientists. Ensure data quality and integrity throughout the data lifecycle by developing tools, maintaining documentation ...

development. Strong proficiency in Teradata SQL and Informatica PowerCenter. Experience building and validating risk models using SAS and Python. Solid understanding of statistical techniques and risk modeling frameworks. Familiarity with data governance and compliance standards. Excellent problem-solving and communication skills. ABOUT CAPGEMINI Capgemini is a global business ...

Software Engineers to ensure we log and model the right data to produce high-integrity business insights. Data-driven automations and solutions: Apply statistical modeling and exploratory data analysis to identify bottlenecks and drop-off points across the merchant onboarding journey, delivering insights to help Product Managers prioritize automation ...

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. ...

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 ...

sources using Python, R, SQL, Excel, or other tools. Conduct analyses related to consumer behaviour, market trends, and campaign performance. Build, maintain, and apply statistical and predictive models, including regression, econometrics, Bayesian methods, and Marketing Mix Modelling (MMM). Develop dashboards, charts, and visualizations to communicate insights effectively … Share best practices within the team and contribute to knowledge-sharing initiatives. Take ownership of your professional development, pursuing certifications and training in analytics, modelling, and programming. Actively participate in office meetings, training sessions, and team initiatives. Champion and role‐model our core values: Curiosity, Creativity, Excellence, Transmission, Pleasure. ...

reproducible analyses and create clear visualisations and summaries for technical and business audiences. Form and test hypotheses; identify where further data, enrichment, analysis or modelling could create additional value for an R&D product or business question. Support the development and evaluation of baseline statistical and machine‐learning ...

About Winton Winton is a research-based investment management company with a specialist focus on statistical and mathematical inference in financial markets. The firm researches and trades quantitative investment strategies, which are implemented systematically via thousands of securities, spanning the world's major liquid asset classes. Founded … 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 ...

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 ...