1 to 25 of 268 Statistical Modelling Jobs in London

discovery, chemistry, biomedical research, clinical evidence, safety, and competitive intelligence. The team applies a broad range of data science methods, including traditional machine learning, statistical modelling, natural language processing, neural networks, information retrieval, knowledge graphs, semantic enrichment, and generative AI. These capabilities support products such as PharmaPendium, Reaxys … experimentation, model evaluation, data quality, and production collaboration. Data science deliveryLead the application of data science methods across a broad portfolio, including machine learning, statistical modelling, NLP, neural networks, search, recommendation, knowledge graphs, and generative AI.Oversee the development and improvement of models and pipelines for tasks such ...

models and delivering value to ourMembersthrough innovative sourcing and data-driven solutions. The Data Scientist will be instrumental in advancingClarusONE’sanalytics capabilities by applying statistical modelling, machine learning, and predictive analytics to complex business problems. This role will drive the development of scalable data science solutions that inform … embed advanced analytics into technology platforms and decision-making processes, supporting the long-term vision and goals of the business. Responsibilities Develop and deploy statistical models, machine learning algorithms, and forecasting tools to support strategic sourcing, supplier risk assessment, and market dynamics. Lead exploratory data analysis and hypothesis-driven ...

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 ...

Viator's most complex questions, where standard experimentation is insufficient and the method has to be designed rather than selected. Develop and validate the statistical methods the organisation relies on, including simulation-based verification that they behave correctly before teams depend on them. Act as the final technical authority … Experience: Experience: Extensive experience in data science or a similar quantitative role, with a proven track record of supporting and influencing a product organisation. Statistical & Experimentation Expertise: Authoritative command of experimentation in all its forms, from experimental design and variance reduction to causal inference, bandits and Bayesian methods. ...

Leading high-priority data science projects that support preclinical and early development decision-making. Developing and implementing analytical and agenticAI approaches across causal inference, statistical modelling, machine learning, deep learning and multimodal data analysis. Translating biological, clinical and portfolio questions into executable analysis plans and actionable evidence. Driving … with: A PhD or equivalent research experience in data science, statistics, mathematics, physics, computer science, computational biology or another quantitative discipline. Strong expertise in statistical modelling, machine learning, AI or a related discipline, with demonstrated ability to select and evaluate appropriate methodologies. Significant experience working with longitudinal patient ...

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 ...

Senior Director, Statistical Innovation**Société:**Ipsen Biopharm Ltd**A propos d'Ipsen:**Ipsen est un groupe biopharmaceutique mondial de taille moyenne, spécialisé dans les médicaments transformateurs dans trois aires thérapeutiques : l'oncologie, les maladies rares et les neurosciences. Forts de près de 100 ans d'expérience en développement, avec …/www.ipsen.com** et suivez nos dernières actualités sur **LinkedIn** et **Instagram**.**Description de l'emploi :**WHAT - Summary & Purpose of the PositionThe Senior Director, Statistical Innovation leads innovative methodology, advanced modelling, and data-driven decision support across Ipsen’s R&D portfolio, strengthening development strategy through design, simulation ...

wider business functions to drive performance against strategic targets Identifying opportunities to enhance existing datasets and improve data quality Delivering advanced analytical projects using statistical modelling techniques Supporting process optimisation through data-led decision making Defining and delivering analytics strategy within your area of expertise Promoting best practices … analytics initiatives Your Skills & Experience Strong commercial experience within marketing or customer analytics Advanced SQL skills and experience with Python or R Expertise in statistical modelling techniques such as regression analysis, clustering, and predictive modelling Experience leading analytical projects from concept through to implementation Ability to communicate ...

deployed as reliable, scalable products not limited to experimentation but extending through to production delivery and operational use. Build impactful ML products demonstrating statistical modelling, deep learning, and AI techniques across operational, scientific, and R&D domains. Translate complex scientific and business problems into well-scoped ML solutions … experience designing, prototyping, productionizing, maintaining, and scaling ML/data science products in complex environments. Strong and demonstrable expertise in machine learning algorithms, statistical modelling, and optimisation techniques with a track record of applying these to build production-grade solutions. Applied knowledge of data science and ML tools ...

Title: Senior Director, Statistical InnovationCompany: Ipsen Biopharm LtdAbout Ipsen: Ipsen is a mid-sized global biopharmaceutical company with a focus on transformative medicines in three therapeutic areas: Oncology, Rare Disease and Neuroscience. Supported by nearly 100 years of development experience, with global hubs in the U.S., France … more information, visit us at and follow our latest news on LinkedInand Instagram. Job Description: WHAT - Summary & Purpose of the PositionThe Senior Director, Statistical Innovation leads innovative methodology, advanced modelling, and data-driven decision support across Ipsen's R&D portfolio, strengthening development strategy through design, simulation ...

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 ...

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 … strategies) for 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 ...

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 ...

better decisions for the company and our customers Leading a team of analysts who will be responsible for curating datasets, surfacing metrics, some statistical modelling, and deeper dive analysis that we expect to influence the direction of the team and the company You'll be responsible for managing … ability Extensive experience using SQL to build and maintain complex data sources, and leveraging visualisation tools to surface critical insights Understanding of stats and statistical modelling (measures of central tendency, understanding of variance and testing) Demonstration of impact/going above and beyond basic role requirements Ability ...

issues affecting the RPD portal. Further develop R-based tools for extracting and analysing producer data. Apply advanced R proficiency to support data manipulation, statistical modelling, simulation, and reproducible analytical pipelines. Implement automated testing and documentation practices. Maintain version control using Git and GitHub. Communicate complex analysis clearly … contribute to wider improvement initiatives. Qualifications Demonstrate advanced proficiency in R, including data manipulation using tools such as dplyr and data.table. Possess experience in statistical modelling and simulation. Develop and maintain reproducible analytical pipelines. Apply automated testing and documentation practices to analytical and modelling solutions. Demonstrate practical ...

range of Analytics services that deliver tangible impact. This role sits within the broader WPP Media Analytics structure, drawing on the specialist expertise of Modelling, Analytics Consultancy, and Data Science & Solutions teams. Role Overview The Analytics Associate Director, Data Science, will be a key technical leader within the dedicated … responsible for leading the delivery of advanced data science projects, translating complex analytical requirements into robust, implementable solutions, and contributing hands‐on to specialised modelling efforts. Working within the wider Analytics team, the Associate Director will apply sophisticated data science techniques to address client communication challenges, enhance media effectiveness ...

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 ...

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 ...

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 ...

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 … making. 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 ...

from senior and principal data scientists. Skills & Experience Experience: Solid experience in data science or a similar quantitative role, supporting and influencing product teams. Statistical & Experimentation Foundations: Sound understanding of experimentation beyond running it through a platform, including statistical power and minimum detectable effect, the difference between … inconclusive result and no effect, why peeking and post-hoc metric selection cause problems, and the common ways an experiment can be invalid. Technical & Modelling Expertise: Strong proficiency in Python and SQL, with hands-on experience of statistical analysis and experimentation, and some exposure to statistical modelling ...

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 ...

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 ...