1 to 25 of 34 Statistical Modelling Jobs in London

allocated and optimised across global clients. This role is ideal for someone who enjoys building, testing ideas quickly and pushing beyond a traditional modelling remit. The Role MMM Modelling & Measurement Build, run and interpret Marketing Mix Models (MMM) to understand drivers of marketing performance Apply statistical modelling to deliver robust insights into channel effectiveness Translate modelling outputs into clear, actionable insights for internal stakeholders Incrementality Testing & Measurement Innovation Support the development of automated incrementality testing frameworks across programmatic platforms Contribute to building a centralised database of testing insights Work with modern approaches to measurement ...

/fintech-style environment, using cutting-edge technology to analyze terabytes of data and support high-impact investment decisions. Responsibilities: Develop, implement, and validate statistical and machine learning models for analysing non-performing loan portfolios. Collaborate with cross-functional teams—including credit, collections, and data engineering—to translate business … objectives into robust analytical solutions. Build software using modern technology to enable investing and asset management at scale. Apply Bayesian modelling and probabilistic programming techniques to address uncertainty and improve prediction accuracy. Analyse large-scale datasets to identify key drivers, trends, and early warning signals within NPL portfolios. Clearly ...

months (initially) | London (Hybrid) Our client is looking for a Senior Technical Business Analyst to support the design and delivery of an analytics and modelling platform (AMP) across the energy markets. The role sits within the intersection of energy fundamentals, quantative modelling and technology- playing a critical part … making. You'll work closely with Quant Analysts, Fundamental Analysts, Data Scientists, Developers, and Product Owners. The focus is on translating complex analytical and modelling requirements into scalable data and platform solutions Key Responsibilities Act as the primary Business Analysis partner to Energy Analytics and Quantitative teams Analyse ...

data-driven solutions that support better decision making. There is particular interest in candidates with backgrounds in Operational Research and Geospatial analytics , where mathematical modelling and spatial analysis can drive insight into complex systems, optimisation challenges and real-world decision making. The Role As a Senior Data Science Consultant … problem definition and exploratory analysis through to model development, deployment and stakeholder communication. Typical responsibilities include: • Designing and delivering advanced analytics, machine learning and modelling solutions • Translating client business challenges into analytical frameworks and data-driven insights • Developing predictive models and operational research approaches for complex decision problems • Applying ...

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 ...

commercial setting, with a proven track record of delivering commercial value through data science initiatives. Excellent Python and SQL skills. Solid understanding of statistical modelling and machine learning algorithms, and experience deploying and managing models in production. Data engineering skills, with the ability to manipulate and process data ...

operational AI. This role leads the capability that transforms data and models into real operational decisions and measurable business outcomes. Combining decision architecture, applied modelling and AI system integration, ensuring analytical work directly drives how organisations plan, price, forecast and operate. You will lead complex client engagements, shape … operational heads. Translate complex business problems into decision systems with measurable outcomes across areas such as pricing optimisation, demand forecasting, risk and fraud modelling, resource allocation, and AI-enabled decision systems. Build capability - Define and scale the firm's Decision Science practice. Create modelling frameworks, reusable components ...

equivalent position within a B2B SaaS company. You have experience in building AI applications within financial services You have experience in applying and optimizing statistical and machine learning models to solve business problems. You have experience with at least one of the major cloud platforms (AWS, Azure, GCP). ...

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 ...

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 ...

Quants to translate research ideas into production-grade models and code . Build and maintain high-performance C++ and Python components used for modelling, simulation, and live trading. Design scalable Linux-based data and compute architectures , including feature engineering and large dataset processing. Support the creation of robust backtesting … within a trading, hedge-fund, or asset-management environment. Strong programming skills in: C++ (performance-critical research and execution components) Python (research, data processing, statistical modelling) Solid experience working in Linux environments, including scripting, debugging, and performance optimisation. Understanding of software architecture and experience contributing to scalable, modular ...

systems. Knowledge of energy trading, commodities, or financial markets. Understanding of curves, market data, pricing models, algo workflows, and analytics platforms. Quantitative skills in statistical modelling, machine learning, or computational analytics. Experience leading multi-country engineering organisations and large-scale platform transformations. Strong stakeholder management, prioritisation, and delivery ...

agents to predictive models embedded in automated workflows, your work will directly influence business operations at scale. You’ll operate at the intersection of modelling, engineering, and intelligent automation. 🌐 What You’ll Do 🧠 Model Development & AI Systems Design Design and train predictive models using AWS SageMaker Develop LLM-powered … Business Impact & Leadership Identify high-impact AI use cases Translate business problems into ML system designs Lead experimentation frameworks (A/B testing, uplift modelling) Mentor data scientists and collaborate closely with data engineering Communicate AI strategy and risk to senior stakeholders 🛠 Technical Environment Core Data Science Advanced Python ...

Associate Director, Data & Analytics to strengthen its global analytical capabilities. The Role You will lead and enhance data-driven insights, through data management, statistical analysis and modelling, data visualisation, data interpretation and communication to support regulatory advocacy, market intelligence and industry best practice. Key Responsibilities Develop and expand … data sources, tools, and analytical frameworks Using external sources and other relevant tools, manage, process and analyse data to produce high-quality statistical outputs and visualisations. Contribute to the development of modelling tools, including the application of advanced statistical techniques and machine learning methodologies. Provide data insights ...

data. Key Responsibilities • Build and optimise machine learning models for conversational analytics products • Develop LLM-driven systems including fine-tuning and prompt pipelines • Apply statistical modelling and quantitative analysis to financial datasets • Conduct feature engineering, model evaluation, and experimentation • Work with engineering teams to integrate models into ...

technical stakeholders, including coaches, scouts, analysts, and traders. Skills & Attributes Strong background in Python, with experience in data manipulation (Pandas/Polars) and statistical modelling. Industry experience in a data science role focussing on sports analytics. Knowledge of advanced football metrics (possession value models highly desirable). A deep ...

Senior Python Software Engineer is needed to join an international advanced analytics data company. Our client is a specialist technology business delivering sophisticated modelling and optimisation tools that help organisations make smarter commercial decisions. You’ll join a collaborative, international team where engineering excellence and mathematical rigour … work on complex, meaningful challenges at scale. The Senior Python Software Engineer will design and build high-performance analytics modules that power advanced modelling and optimisation capabilities. Role Highlights • Develop scalable Python modules for analytics and optimisation • Implement advanced algorithms for forecasting and modelling • Process large datasets ...

group. We’re looking for a highly analytical and detail-oriented Econometrics Manager/Data Scientist with hands-on experience in Marketing Mix Modelling (MMM), strong Python capability, and the ability to independently build robust statistical models (all essential). You will work closely with marketing teams, brand … part of this role is the ability to understand brand positioning, interpret brand language, and apply a customer-first mindset to ensure modelling outputs reflect real customer behaviour and support brand strategy. Key Responsibilities Design, build, and maintain robust statistical and econometric models, including MMM frameworks Partner with ...

working cross-functionally with Marketing and Product teams to turn insight into commercial impact. Responsibilities include Owning customer analytics projects such as segmentation, churn modelling, LTV, and lifecycle optimisation Designing and analysing A/B and multivariate tests to shape acquisition and retention strategies Using SQL and dashboarding tools … outputs into strategic recommendations and tell clear data stories Experience designing or analysing A/B testing and customer lifecycle analytics Python skills for statistical modelling or automation are an advantage This role offers a hybrid setup (typically two days per week in the London office), a base ...

Deep Learning within commercial environments? You could be joining a specialist Hedge Fund and working on long term strategic projects which involve implementing quantitative statistical models that are used to forecast elements of demand and supply of energy for European markets. What ...

/ELT pipelines. Ingest messy client data (CSV exports, varying formats, schema mismatches) and transform it reliably for forecasting. Production systems 🚀 — Deploy statistical/ML models and keep them running at scale. Monitor pipelines and models, set up alerting for failures and data quality issues. Visibility 📊 — Build dashboards ...

passionate about using advanced data science to drive real-world impact in sport, this is the role for you. Key Responsibilities Develop and apply statistical models and algorithms to analyse player performance, match outcomes, and tactical insights Collect, clean, and process football-related data from diverse sources Build clear … experience as a Data Scientist , plus a strong academic foundation Python Data Science Stack : Advanced proficiency in Python , including Pandas, NumPy and scikit-learn. Statistical & Machine Learning Modelling : Experience with a variety of ML techniques ( regression, classification, clustering, time-series forecasting ) Experience with deep learning frameworks such ...

more information on how we process your personal data, please refer to HCLTech’ s Candidate Data Privacy Notice. Responsible for performing general analytics and statistical modelling in a timely manner to address current and future business needs across various areas of the business. AI platforms, Agentic systems & Insights ...

learning, and the chance to make a difference. About the Role As a Data Scientist, you’ll work end-to-end across data pipelines, modelling, and insights — helping the business make smarter decisions every day. You’ll collaborate with product, engineering and senior stakeholders, with full support from … team. If you love solving problems, asking questions, and building useful things with data, this role is for you. Key Responsibilities ✅ Build predictive and statistical models using Python ✅ Develop end-to-end data pipelines and automated workflows ✅ Analyse behavioural, financial or operational datasets ✅ Create dashboards and visualisations ...

with the department's web reporting needs, maintaining and improving the web data structure, providing recommendations to management to improve marketing campaign performance. Running statistical analytics and predictive models to identify new areas to optimize or target; work closely with marketing management to measure our testing programme. ...