1 to 25 of 237 Permanent Statistical Modelling Jobs in London

Solve the hard problems Lead on the technical development of algorithms and pipelines that will deliver against our strategic objectives. Iterate our modelling and optimisation capabilities, identifying the most appropriate techniques to enable continuous learning, expansion to novel mechanics, audiences and channels and the transition towards real-time decisioning. … projects where appropriate, leading junior colleagues and engaging with stakeholders. Embody and improve best practice Align to best practice across modelling, experimentation, deployment, and model lifecycle management. Coach through doing – pairing on code and demonstrating standards. Be an enthusiastic member of our community Become the recognised data science technical ...

resolution quality, customer effort, process adherence, consistency, fairness, durability of resolution and cost effectiveness. Identify the root causes of issues by combining machine learning, statistical methods and domain expertise from colleagues to understand what genuinely drives customer outcomes. Identify and test solutionsTurn analytical insight into concrete proposals to improve … help the team prioritise where to invest. Design and analyse experiments to determine whether proposed changes genuinely improve customer and business outcomes. Use statistical modelling and causal inference where controlled experiments are not practical. Shape the automation strategyDetermine the right intervention for different customer problems — whether they should ...

resolution quality, customer effort, process adherence, consistency, fairness, durability of resolution and cost effectiveness. Identify the root causes of issues by combining machine learning, statistical methods and domain expertise from colleagues to understand what genuinely drives customer outcomes. Identify and test solutions Turn analytical insight into concrete proposals … help the team prioritise where to invest. Design and analyse experiments to determine whether proposed changes genuinely improve customer and business outcomes. Use statistical modelling and causal inference where controlled experiments are not practical. Shape the automation strategy Determine the right intervention for different customer problems whether they ...

make and receive international payments. Задачи Generate insights that lead to better decisions for the company and its customers Curate datasets, surface metrics, perform statistical modelling, and conduct deeper-dive analysis Help identify the drivers of growth at company or regional level Analyze customer segments and cohorts … experience in similar roles Mathematical or quantitative background Strong SQL skills Familiarity with Python/R Strong analytical ability Understanding of statistics and statistical modelling Data visualization and storytelling ability Ability to self-organize and manage stakeholders Demonstrated impact beyond basic role requirements Legally authorized to work ...

manage value, risk, and revenues across energy markets and flexible assets. The business works across European power markets and provides sophisticated analytical and modelling capabilities to support decision-making in the rapidly evolving energy sector. We’re looking for a technically strong Power Technical Analyst to join the Technical … developing the production analytics platform that underpins power market and flexible asset models. This is an opportunity to combine professional Python development with quantitative modelling, optimisation, and energy market expertise. The successful candidate will work on sophisticated power market models and asset-level optimisation, contributing to the development ...

structured and unstructured data Build and maintain scalable data and AI/ML pipelines for advanced analytics and automated insight generation Apply machine learning, statistical modelling, deep learning, NLP, graph analytics and time-series analysis Prepare, transform and integrate large multi-source datasets, including sensor, geospatial and communications … Learning Solutions Python Data Science Ecosystem Natural Language Processing AWS Cloud Analytics Platforms High Level Security Clearance ATS Optimization Keywords Hard Skills Machine Learning Statistical Modelling Deep Learning Graph Analytics Time-Series Analysis Data Integration Predictive Modeling Data Visualization Big Data Analytics Distributed Analytics Soft Skills Collaboration Communication ...

team is responsible for the research, design, and continuous improvement of our execution algorithm platform. We combine deep expertise in market microstructure, statistical modelling, and machine learning with world-class engineering to build algorithms that optimise execution quality, minimise market impact, and adapt intelligently to real-time market … cash equities. Conduct rigorous quantitative research on market microstructure, order‐book dynamics, venue analysis, and transaction cost analysis (TCA). Build and maintain statistical and machine learning models for short‐term price prediction, fill‐rate estimation, market‐impact modelling, and optimal order placement/scheduling. Collaborate with technology ...

other teams across the business. Our Data Scientists are embedded within product and business areas across Monzo, where they use experimentation, causal inference, statistical modelling, machine learning and analytics to understand our customers, identify opportunities and influence the direction of our products and strategy. As a Data Science … help teams turn them into clear, actionable opportunities. Ensure teams are using the right analytical approaches, from experimentation and causal inference through to statistical modelling and machine learning. Help connect Data Science work to measurable customer, product and commercial outcomes. Work with Analytics Engineering, Machine Learning and other ...

Statistical Data Scientist Department: Data Science & Analytics Employment Type: Permanent - Full Time Location: London Reporting To: Lead Statistical Data Scientist Description Oritain is a global leader in forensic origin verification of products and raw materials. With offices in Auckland, Dunedin, London, Paris, Singapore and Washington D.C, our vision … integrity, meeting regulatory demands, and reducing the risk of fraud and unethical sourcing - creating real change in our world. About the Role As a Statistical Data Scientist, you'll build the statistical models and machine learning methods behind our origin-verification science, then work with teams across Oritain ...

every relationship, lead with curiosity, champion diverse perspectives, turn inputs into actions, and uphold trust through integrity. Skills and Competencies Strong expertise in statistical modelling, probability, and numerical methods, required to develop robust catastrophe risk models Proficiency in programming languages such as Python, R, or Julia to build … maintain scalable modelling frameworks Experience analysing climate and atmospheric data, with knowledge of tropical cyclone processes preferred Ability to collaborate effectively in multidisciplinary teams, including use of version control systems (e.g., Git) for shared code development Strong analytical thinking and problem-solving skills to interpret complex hazard behaviours ...

consistent and reliable for decision-making. Data Science, Automation and AI Readiness - Use Python to automate recurring analysis, reporting and data preparation, while supporting statistical modelling, predictive analytics and AI/data science proof-of-concept work. Identify opportunities to improve insight delivery through automation and emerging analytical … ability to work with complex datasets and generate practical insight. Excellent data science and programming skills, with proficiency in Python for data analysis, modelling, automation and statistical applications. Experience in data manipulation, querying and analysis using SQL. Skilled in data visualisation and presentation of analytical findings using Power ...

real business questions Provide technical leadership and mentoring to junior analysts working on perception and influence analytics Raise overall analytical capability through coaching on statistical thinking, modelling techniques, and interpretation Требования: Strong experience in advanced analytics, statistical modelling, or quantitative research roles Deep hands-on expertise … regression analysis and multivariate statistical techniques Strong working knowledge of R and/or Python for statistical analysis Experience working with perception, attitudinal, or brand-related data Experience in media, marketing effectiveness, brand measurement, or advertising analytics Nice to have: Familiarity with index construction or composite metrics Условия ...

technology and data analytics business, is looking for a Senior Quantitative Specialist to join its research and development team. This role focuses on developing statistical football models, analysing complex datasets, and building automated betting and performance analysis solutions. Key Responsibilities Develop and enhance football modelling and statistical … with data scientists and software engineers Requirements Commercial experience using Python, R, or similar programming languages Experience developing football models within industry environments Strong statistical modelling and data analytics skills Degree in Mathematics, Statistics, Computer Science, Engineering, or similar quantitative discipline Excellent analytical and problem-solving ability Strong ...

applications leveraging LLMs, retrieval systems and agentic workflows.* Evaluate emerging AI technologies and recommend practical applications across the organisation.### Data Science & Analytics* Perform advanced statistical analysis and modelling across large-scale operational and engineering datasets.* Develop feature engineering, experimentation and model evaluation frameworks.* Create insights and recommendations that … WHAT YOU'LL BRING:**### Essential Experience* Demonstrable experience delivering machine learning or AI solutions within a large-scale enterprise environment.* Strong experience applying statistical modelling, predictive analytics and experimentation techniques.* Experience working with structured and unstructured data at scale.* Proven ability to translate business problems into measurable ...

statistics, data science, econometrics, quantitative economics, operations research, mathematics, or related field 2+ years of experience in commercial analytics, algorithm development, or applied statistical/machine learning modelling Proficiency in SQL and Python Strong understanding of commercial/pricing problems and business fundamentals Advanced data skills: statistical modelling, machine learning, time‐series forecasting, demand prediction, optimisation, inventory management Experience with dynamic pricing, stochastic processes, or Bayesian inference is a plus Preferred Experience Background in pricing, forecasting or optimisation roles within airlines, hospitality, car rentals, e‐commerce, or similar dynamic pricing industries Familiarity with data engineering ...

producing high-quality outcomes. Responsibilities Deliver data science projects, from problem definition through to actionable insights and presentation of results Develop and apply predictive modelling, supervised and unsupervised machine learning techniques to optimise client operations and business outcomes Build and maintain data pipelines, ensuring data quality, consistency, and integrity … contribution to the enhancement of Sagacity’s data science and analytics product suite Competencies and Experience 2+ years’ experience in data science, analytics, or statistical modelling, ideally with commercial experience within the Telecoms, Banking or Utilities industries; or within a data-related consultancy Educated to degree level (postgraduate ...

producing high-quality outcomes. Responsibilities Deliver data science projects, from problem definition through to actionable insights and presentation of results Develop and apply predictive modelling, supervised and unsupervised machine learning techniques to optimise client operations and business outcomes Build and maintain data pipelines, ensuring data quality, consistency, and integrity … contribution to the enhancement of Sagacity's data science and analytics product suite Competencies and Experience 2+ years' experience in data science, analytics, or statistical modelling, ideally with commercial experience within the Telecoms, Banking or Utilities industries; or within a data-related consultancy Educated to degree level (postgraduate ...

Hedging strategies, derivatives instruments (swaps, futures, options, spreads), VAR concepts, and understanding of how risk tools support commercial decision-making Quantitative & Analytical Econometric analysis, statistical modeling, demand/supply forecasting, scenario analysis, backtesting, and supply/demand balance modeling Programming & Data Tools Python (pandas, NumPy), SQL, VBA, Advanced Excel ...

based in central London. The successful candidate will be responsible for interpreting, analysing and manipulating large and complex datasets, developing quantitative models and using statistical techniques to identify trends, patterns and opportunities. Working closely with analysts, developers and other technical specialists, you will have the opportunity to contribute … part of a team. Key Responsibilities Analyse and interpret large, complex datasets to identify trends and insights. Develop and enhance quantitative, mathematical and statistical models. Apply probability and statistical techniques to real-world problems. Develop, test and validate analytical models and methodologies. Use programming languages to analyse data ...

based in central London. The successful candidate will be responsible for interpreting, analysing and manipulating large and complex datasets, developing quantitative models and using statistical techniques to identify trends, patterns and opportunities. Working closely with analysts, developers and other technical specialists, you will have the opportunity to contribute … part of a team. Key Responsibilities Analyse and interpret large, complex datasets to identify trends and insights. Develop and enhance quantitative, mathematical and statistical models. Apply probability and statistical techniques to real-world problems. Develop, test and validate analytical models and methodologies. Use programming languages to analyse data ...

Quantitative Engineer to join Allocation Strategy's technology team. This is a hands‐on, early‐stage role at the intersection of software engineering, quantitative modelling, applied AI, and investment analytics . You will work closely with the company founders, including the Heads of Technology and Research, to design, build … evolve the firm's core data, analytics, and modelling platform. The role spans full‐stack development, backend systems, cloud infrastructure, data pipelines, quantitative research workflows, and production modelling systems . You will help translate advanced macro‐finance and asset‐allocation research into reliable, scalable software used by institutional ...

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 ...

have an opportunity for a Data Analyst/Scientist or Senior Data Analyst/Scientist to play a key role in using data, analytics, statistical methods and data science to generate insight, support decision-making and improve our engineering services. This is a broad analytical role. You will work … across the full lifecycle of a problem: understanding stakeholder needs, exploring and assessing data, identifying appropriate analytical approaches, communicating findings and, where appropriate, developing statistical or machine-learning models or client-ready insights/tools. This is a role for someone who enjoys variety and has a critical ...

alone. What you’ll be doing: Machine Learning & Advanced Analytics Develop machine learning models for forecasting, classification, recommendation, optimisation, clustering and anomaly detection. Apply statistical and machine learning techniques to analyse structured and semi-structured datasets. Perform exploratory data analysis, feature engineering, model training, validation and model evaluation. Compare … model development. Strong SQL skills and experience working with complex or sizeable datasets. Solid theoretical and practical understanding of supervised learning, unsupervised learning, statistical modelling, feature engineering, validation, model evaluation and optimisation. Hands-on experience with Python-based machine learning libraries, especially Scikit-Learn and at least ...

integrity, meeting regulatory demands, and reducing the risk of fraud and unethical sourcing - creating real change in our world. About the Role As a Statistical Data Scientist, you'll build the statistical models and machine learning methods behind our origin-verification science, then work with teams across Oritain … move the business forward, Oritain is the right place for you. Key Responsibilities Collect, clean and process data from a range of sources. Build statistical models and machine learning algorithms that turn data into decisions. Develop and deploy predictive models to solve operational and commercial challenges. Build visualisations, dashboards ...