151 to 175 of 236 Statistical Modelling Jobs in London

negotiating buy‐in with various VPs, ensuring consistent follow‐through and concrete impact within agreed timelines. What you'll need to succeed Proficiency in statistical analysis, data modeling, and data visualization. Ability to interpret complex data sets and translate findings into actionable insights. Experience with data analysis, data modelling ...

Health—we’re building the future of population health. As a Staff Data Scientist, you’ll lead the design and execution of advanced analytics, statistical modeling, and machine learning across Onsera’s platform, leveraging complex healthcare data—claims, clinical records, and real-world evidence—to power population risk stratification … review in close partnership with Product, Engineering, and Clinical teams. The role Responsibilities Lead the design and development of cutting-edge ML, AI, and statistical models for population health in close collaboration with Product, Clinical, and Engineering teams. Define and execute modeling strategies that balance current business needs with ...

Agents, identifying and developing high-impact use cases from POC to production. Champion best practices in experimentation, causal inference, and uplift modeling, ensuring statistical rigor in decision-making processes. Take ownership of the most complex, high-profile analytical projects, translating ambiguous questions into clear, actionable recommendations that deliver commercial … track record of supporting and influencing a product organization. Technical & Modeling Expertise: Expert Level proficiency in Python and SQL. Deep, hands-on experience with statistical modeling, (quasi) experimentation, multi-arm bandit, and a wide range of machine learning techniques (e.g., Regression, Classification, Clustering).Product Acumen: Demonstrated ability to define ...

them under live conditions. Own the live risk profile of the blended book, conducting rigorous risk assessment and managing exposures. Requirements Strong background in statistical modelling and machine learning, with particular value placed on optimisation, ensemble methods, and portfolio construction (e.g. convex optimisation, mean-variance and its extensions … record of taking research into production and generating live PnL is highly valued. Experience with financial time-series analysis, market microstructure, or transaction cost modelling preferred. #J-18808-Ljbffr ...

Applied AI Machine Learning VP (Fraud Modelling) in the ICB Risk Modelling team, you will play a crucial role in developing and managing machine learning models used to mitigate fraud risk within ICB. You will work with multiple partner teams—including Strategy, Technology, Product Management, Legal, Compliance, Business … fraudulent activities. Job Responsibilities Develop and manage proprietary fraud models and perform due diligence for vendor models. Validate model performance on internal data, ensure modelling choices are appropriate for the portfolio, decisioning context, and operational constraints. Work closely with platform engineers to support model deployment. Prepare complete governance ...

meeting regulatory demands, and reducing the risk of fraud and unethical sourcing - creating real change in our world. About The Role As the Lead Statistical Data Scientist, you'll provide technical leadership for the models, methods and analytical approaches that power Oritain's origin-verification science. You'll help … develop other data scientists, help shape how we approach technical challenges, and work across science, engineering, product and commercial teams to ensure our statistical solutions create real-world impact. You’ll be joining a business in an exciting stage of growth. We're beyond the start-up phase ...

meeting regulatory demands, and reducing the risk of fraud and unethical sourcing - creating real change in our world. About the Role As the Lead Statistical Data Scientist, you'll provide technical leadership for the models, methods and analytical approaches that power Oritain's origin-verification science. You'll help … develop other data scientists, help shape how we approach technical challenges, and work across science, engineering, product and commercial teams to ensure our statistical solutions create real-world impact. You'll be joining a business in an exciting stage of growth. We're beyond the start-up phase ...

meeting regulatory demands, and reducing the risk of fraud and unethical sourcing - creating real change in our world. About the Role As the Lead Statistical Data Scientist, you'll provide technical leadership for the models, methods and analytical approaches that power Oritain's origin-verification science. You'll help … develop other data scientists, help shape how we approach technical challenges, and work across science, engineering, product and commercial teams to ensure our statistical solutions create real-world impact. You'll be joining a business in an exciting stage of growth. We're beyond the start-up phase ...

touch if you have any queries.' Job Description: Required Technical Competencies Advanced proficiency in R, including: Data manipulation (e.g., dplyr, data.table) Statistical modelling and simulation Building reproducible analytical pipelines Automated testing and documentation Version control using Git/GitHub Role Summary Develop, maintain, quality assure and operate ...

CoreWeave is building an ambitious data science platform in the Monolith Data Science team, embedding advanced statistical models into production to improve cluster reliability and cost efficiency. This role sits at the intersection of data science and production systems in a fast-paced AI infrastructure environment. You will deploy ...

technology company in London is looking for an Economic Analyst to design and execute economic impact studies. This role involves applying advanced econometrics and statistical modeling to quantify the company's contributions to the economy. Candidates need a Master's degree in a relevant field and strong experience ...

preferred in Natural Language Processing (NLP), large language models, or related areas is preferred.2. Familiar with machine learning foundations, with a strong understanding of statistical models and experience working on NLP related projects.3. Proficient in at least one programming language, familiar with basic data structures and algorithms.4. Publication ...

significant results. We are a small but rapidly growing team of mathematicians, data scientists and software engineers constantly striving to refine our world class statistical models while also researching and deploying new ones. Our work bridges three domains, each challenging in its own right - iGaming, quantitative research and software ...

related quantitative field. 3 years of work experience using analytics to solve product or business problems, coding (e.g., Python, R, SQL), querying databases or statistical analysis, or 3 years of work experience with a PhD degree. Experience with Python, SQL, and statistical modeling. Experience working with generative … related quantitative field. 5 years of work experience using analytics to solve product or business problems, coding (e.g., Python, R, SQL), querying databases or statistical analysis. Experience in software development and source control methodologies. Experience working with cloud computing or distributed computing environments. Demonstrated ability to build investigative tools ...

Optimisation” by Forrester Wave 2023. Here in the UK, at our London-based office, we engage across four business offerings: MMM (mixed market modelling), customer analytics, data science transformations, and AI4 sustainability. We have clients across multiple industries such as retail, consumer goods, luxury fashion, insurance, banking, private equity … econometrics using data science and AI for business problems. Understand clients’ business context and collaborate in a fast‐paced environment. Work on Marketing Mix Modelling (MMM) and Customer Analytics projects end‐to‐end, from gathering and analysing data to building statistical machine learning models and delivering presentations. Work ...

Optimisation” by Forrester Wave 2023. Here in the UK, at our London-based office, we engage across four business offerings: MMM (mixed market modelling), customer analytics, data science transformations, and AI4 sustainability. We have clients across multiple industries such as retail, consumer goods, luxury fashion, insurance, banking, private equity … econometrics using data science and AI for business problems. Understand clients’ business context and collaborate in a fast-paced environment. Work on Marketing Mix Modelling (MMM) and Customer Analytics projects end-to-end, from gathering and analysing data to building statistical machine learning models and delivering presentations. Work ...

Measurement and Optimisation" by Forrester Wave 2023.Here in the UK, at our London-based office, we engage across four business offerings: MMM (mixed market modelling), customer analytics, data science transformations, and AI4 sustainability. We have clients across multiple industries such as retail, consumer goods, luxury fashion, insurance, banking, private … econometrics using data science and AI for business problems.· Understand clients' business context and collaborate in a fast-paced environment.· Work on Marketing Mix Modelling (MMM) and Customer Analytics projects end-to-end, from gathering and analysing data to building statistical machine learning models and delivering presentations.· Work ...

heuristics and algorithms over EVM (and other) blockchain data to attribute on‐chain activity and uncover new insights. Apply advanced techniques including graph computation, statistical modeling, and machine learning to large‐scale on‐chain datasets. Identify and resolve inefficiencies in code, methodology, and workflows; ensure your work integrates cleanly … Python and SQL, with a track record of writing clean, testable, production‐quality code. Demonstrated experience applying advanced analytical techniques (e.g. graph algorithms, ML, statistical inference) to large, messy datasets. Comfort working with EVM‐based blockchain data, or strong evidence of the aptitude to ramp up quickly ...

global audiobooks strategy and improve the experience for listeners, creators, publishers, and authors. In this role, you will use data analysis, experimentation, and statistical modeling to evaluate some of the most important opportunities facing our audiobooks business. Your work will span content and catalog strategy, discovery and recommendations, subscriber … similarly complex business. You are fluent in SQL and proficient in Python, R, or another programming language, with a strong grasp of statistical methods, experimentation, and causal inference. You combine analytical rigor with strong business judgment and can cleanly extract the “so what” from complex analysis. You are comfortable ...

highly talented team within the sports trading industry in central London. You will work with large and complex datasets, developing quantitative models and using statistical analysis to identify patterns, trends and opportunities within sports data. Working closely with experienced analysts, developers and trading teams, you will play an important … their career within a fast-paced sports trading environment. Key Responsibilities Analyse and interpret large and complex sports datasets. Develop and improve mathematical and statistical models. Apply probability and statistical techniques to sports data. Identify patterns, trends and opportunities within large datasets. Work closely with analysts, developers ...

data quality framework and its associated processes and reporting Identify opportunities to monetize data Operational Work to develop reports and analyses using SQL, BI & statistical tools against the CLS data warehouse and the data quality framework. Keep the warehouse up to date and exceeding data quality targets Monitor, investigate … handling several tasks simultaneously Self-starter with great teamwork and problem solving skills Business intelligence skills e.g. MicroStrategy (report creation, schema design, V10.11) Statistical, quantitative modelling tools e.g. R/Shiny Success factors/'How'. Personal characteristics contributing to an individual’s ability to excel ...

activities. These span a wide range of areas including electronic lab notebook templatization and integrations, data capture and storage, results processing, dashboarding, and statistical analysis activities. They will also share responsibility with the wider Data Science team for providing technical support to scientists across these areas. Job Description Major … data accessibility across the R&D organisation. Perform data mining, data exploration and feature generation to bring proof of concept AI/ML/statistical/mechanistic/hybrid modelling in collaboration with data scientists and bench scientists. Serve as part of the technical support team for software ...

Design and build statistical, machine learning, and AI tools, alongside investigative data pipelines, for integration into existing or new reliability infrastructure. Apply data science to improve Google Cloud Platform reliability in partnership with the Platform Reliability Engineering (PRE) organization, focusing on change supervision and rollouts. Collaborate closely with engineering … related quantitative field.3 years of work experience using analytics to solve product or business problems, coding (e.g., Python, R, SQL), querying databases or statistical analysis, or 3 years of work experience with a PhD degree. Experience with Python, SQL, and statistical modeling. Experience working with generative AI agents. ...

/Quantitative Research specialist with strong Python skills to design and deploy market making and execution strategies across betting markets. The role blends advanced statistical modelling with production-grade software development and offers ownership from research through deployment in a hybrid North London setting. The ideal candidate will ...

Candidates should hold an advanced degree and have over 5 years of experience in quantitative research related to trading algorithms. The role involves building statistical models, collaborating with technology teams, and analyzing market data to drive improvements in execution quality. Strong communication skills and a collaborative mindset are essential. ...