1 to 25 of 88 Permanent Statistical Modelling Jobs in London

seeking a Senior Data Scientist with a strong background in Biostatistics to help leading life sciences and pharmaceutical organisations modernise and scale their statistical modelling capabilities. This role combines statistical expertise with modern data engineering practices, enabling the development of robust, reproducible, and production-ready analytical solutions. … work closely with biostatisticians, data scientists, and technical stakeholders to improve modelling approaches and deploy scalable solutions within cloud-based environments. Key Responsibilities Partner with biostatisticians and cross-functional teams to enhance statistical modelling methodologies Design and develop scalable R-based modelling workflows and packages Implement ...

insights and support evidence-based decision-making across PlayStation. This role goes beyond traditional A/B testing. You will apply modern causal inference, statistical modelling and machine learning techniques to evaluate initiatives where controlled experiments are difficult or impossible, collaborating closely with product, engineering, analytics and business … commercial initiatives. Design and execute robust measurement approaches across randomised experiments, quasi-experimental methods and observational causal inference where controlled experimentation is impractical. Apply statistical, machine learning and AI techniques to solve complex measurement challenges and generate actionable business insights. Apply advanced data science and machine learning techniques where ...

goes beyond traditional A/B testing. You will solve complex measurement problems where controlled experiments are difficult or impossible, applying modern causal inference, statistical modelling and machine learning techniques to generate robust business insights. You will collaborate closely with product, engineering, analytics and business teams to raise … PlayStation. Design robust measurement approaches across randomised experiments, quasi‐experimental methods and observational causal inference where controlled experimentation is impractical. Research, evaluate and prototype statistical, machine learning and AI techniques to solve complex real‐world measurement challenges. Apply advanced data science and machine learning techniques where appropriate to complement ...

insights and support evidence-based decision-making across PlayStation. This role goes beyond traditional A/B testing. You will apply modern causal inference, statistical modelling and machine learning techniques to evaluate initiatives where controlled experiments are difficult or impossible, collaborating closely with product, engineering, analytics and business … commercial initiatives. Design and execute robust measurement approaches across randomised experiments, quasi-experimental methods and observational causal inference where controlled experimentation is impractical. Apply statistical, machine learning and AI techniques to solve complex measurement challenges and generate actionable business insights. Apply advanced data science and machine learning techniques where ...

goes beyond traditional A/B testing. You will solve complex measurement problems where controlled experiments are difficult or impossible, applying modern causal inference, statistical modelling and machine learning techniques to generate robust business insights. You will collaborate closely with product, engineering, analytics and business teams to raise … PlayStation. Design robust measurement approaches across randomised experiments, quasi-experimental methods and observational causal inference where controlled experimentation is impractical. Research, evaluate and prototype statistical, machine learning and AI techniques to solve complex real-world measurement challenges. Apply advanced data science and machine learning techniques where appropriate to complement ...

inside of IR35) Contract: Interim/Contract The Opportunity We are supporting a well-established regulatory organisation on the appointment of a senior statistical leader to help shape the next stage of its analytical journey. This is an exciting opportunity for an experienced statistician who can provide strategic leadership … across modelling, analytics and evidence generation while working alongside an established data science team. The successful candidate will act as a trusted advisor to senior stakeholders, ensuring that analytical outputs are robust, credible and capable of informing key organisational decisions. The organisation is looking for a recognised expert ...

Germany, Brazil, Sweden, China, USA, and South Korea, as well as India. Due to continued growth, M3 MR is seeking aData Scientist – Decision Science & Modelling in London, UK. Business Unit Mission M3 MR, part of M3 Inc., provides the most comprehensive and highest-quality healthcare market research recruitment, data … deployable analytical solutions in partnership with Engineering teams, while not owning production infrastructure or application development. Key Responsibilities Model Development Design, develop and maintain statistical, probabilistic and simulation‐based models. Translate complex business questions into tractable modelling problems. Select appropriate modelling approaches based on the characteristics ...

intricate business challenges and translation into technical problem statements, working with diverse datasets (internal and external), and expert application of advanced machine learning or statistical modelling techniques to generate actionable insights and measurable impact. Provide hands‐on technical mentorship and guidance to junior and mid‐level data scientists … data science, coupled with SQL capabilities for data manipulation and extraction. Demonstrable mastery in a wide range of machine learning and statistical modelling techniques, from classical linear models and tree‐based methods to advanced deep learning architectures. Practical experience with, or demonstrable capability for, applications of Generative ...

adoption of the latest AI trends. You will own the full lifecycle of data science engagements: shaping ambiguous problems, designing and delivering statistical and machine learning models, and ensuring they are embedded into operational workflows. You will work across organisations at every stage of data maturity, applying sound judgement … autonomous AI, these are not substitutes for strong data science fundamentals. Candidates must demonstrate deep, hands‐on experience delivering applied machine learning and statistical modelling in real‐world settings. Internally, you will act as a data science standard‐setter, helping define best practice, raising the quality ...

helping the organisation distinguish correlation from causality and quantify the real impact of marketing investment. This role sits at the intersection of experimentation, modelling, analytics, and business decision-making. It is suited to someone who can independently deliver high-quality analytical work, communicate uncertainty with confidence, and contribute thoughtful … input to the future measurement roadmap. Your work will apply robust statistical, modelling, and experimentation approaches - including MMMs, PSA techniques, GeoLift, holdout testing, and other causal inference frameworks — to evaluate Performance Marketing effectiveness. You will work closely with buying teams, analysts, and technical partners to turn measurement questions ...

Senior Quantitative Modeller 📍 London, United Kingdom (Hybrid) 🕘 Full-Time About the Role Successful products are built on robust mathematics, accurate modelling, and continuous innovation. As a Senior Quantitative Modeller , you'll be a senior individual contributor responsible for designing, developing, and implementing advanced mathematical and statistical models that … solve complex business challenges and support innovative product development. Operating with a high degree of autonomy, you'll own the full lifecycle of quantitative modelling projects—from initial concept through to production deployment—while working closely with engineering, data science, and business teams. You'll also provide technical guidance ...

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 ...

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 ...

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 ...

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 ...

detail. Analytical mindset with the ability to identify trends, patterns, and insights from data. Knowledge of market analysis, business performance analysis, forecasting, or statistical modelling would be beneficial. Familiarity with R, Power BI, Tableau, or other data visualization and analytical tools would be considered an advantage. Good research ...

working closely with the Director of Data Science to produce technically rigorous, clearly communicated outputs. You are responsible for the quality of your own modelling work and for helping clients understand what the analysis means for their media decisions. This is a role for a data scientist … projects, owning specific workstreams including data preparation, model runs, and scenario analysis under the direction of the Director of Data Science. Deliver Other Modelling Projects: You support and independently deliver a range of data science engagements, applying statistical and analytical skills to real client problems with a focus ...

confidence to translate technical insight into meaningful recommendations that help the business make better operational decisions. What will I be doing? Build and deploy statistical models and machine learning solutions to support forecasting, product development, value driver analysis and operational performance. Use data mining, modelling and algorithmic approaches … applying data science, machine learning or advanced analytics to demand forecasting, supply forecasting, workforce planning or operational optimisation. Strong capability in Python, SQL and statistical modelling, with experience building practical models that support business decision making. Experience working with complex operational data, ideally linked to mobile workforces, field ...

DESCRIPTION Quantitative Trading & Research (QTR) is an expert group in J.P.Morgan specializing in statistical modelling, data analytics, balance sheet optimization and other quantitative methods to support the Commercial and Investment Bank (CIB). The QTR Securities Services and Payments team applies cutting‐edge AI/ML techniques ...

experience in data science, applied science, or analytics (6+ years with MS/PhD) in an industry setting You are a proven expert in statistical modeling and experiment design — including A/B testing, quasi-experiments, and causal inference methods (e.g., Pre/Post, causal impact, multivariate, multi-armed ...

experience in data science, applied science, or analytics (6+ years with MS/PhD) in an industry setting. You are a proven expert in statistical modeling and experiment design — including A/B testing, quasi-experiments, and causal inference methods (e.g., Pre/Post, causal impact, multivariate, multi-armed ...

Python programming skills, including object-oriented design and proficiency with key ML libraries (e.g., PyTorch, TensorFlow, Scikit-Learn).* Solid understanding of probability and statistical modeling to support robust model development and interpretation.* Experience with cloud platforms (especially Azure and/or AWS) and modern deployment practices for scalable ...

exploratory data analysis and render key insights through evidenced results* Execute data quality assessments* Illustrate material understandings through coherent data visualizations* Execute and tune statistical analyses**Modeling*** Conduct necessary research for proof-of-concept model selection* Identify viable model features and apply appropriate normalizations* Appropriately log model parameters ...

purpose, and work with Product Directors/VPs to advocate for insights‐driven decision‐making. 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 modeling ...

data privacy, data security and responsible access to health data. We are looking for a Senior Data Scientist specialising in privacy, security and risk modelling , to help design, build and scale data-driven controls that protect participants while enabling cutting-edge research. What you’ll do Develop data-driven … auditable tools. Work closely with governance, legal, ethics and operational colleagues to ensure technical controls fulfil their requirements. Keep up with emerging methods in statistical disclosure control, privacy-enhancing technologies, AI security, synthetic data, de-identification and privacy-preserving computation. This role will be fully hybrid with the expectation ...