1 to 25 of 121 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 ...

actionable 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 … product and 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 appropriate ...

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 … making across 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 experimentation ...

drug 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 … science, 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 ...

Instagram and X!Your New Role...We are looking for the Advanced Analytics Lead who will be responsible for owning, developing and delivering advanced statistical and regression-based analytics that underpin a new measurement solution within the Audiences & Data portfolio.This role sits at the intersection of statistical modelling … translated into robust, defensible insight for clients and internal stakeholders.This is a hands-on senior analytics role, requiring deep expertise in regression and multivariate modelling, alongside the ability to clearly explain methodology, guide junior analysts and ensure outputs are both statistically sound and commercially relevant.Your Role Accountabilities...Own ...

range of complex analytical projects, defining direction, governance and delivery approaches to:Establish, champion and assure analytical standards and methods, ensuring appropriate use of statistical techniques, data modelling and coding approaches are used to solve complex business challenges.Lead the design and adoption of scalable, reusable analytical products … read more about here. Essential Criteria:To be considered for this role, your application must demonstrate evidence of all the following Essential Criteria: Applying statistical and analytical tools and techniques: Expert in the application of statistical methodologies and analytical techniques to resolve highly complex business problems. Provide technical ...

doSolve the hard problems Take on ambiguous, high-value problems across customer understanding, personalisation, optimisation and decisioning.Advance techniques used across the team (uplift modelling, optimisation, causal inference, recommendations, real-time decisioning).Set us up for successDefine and embed best practice across modelling, experimentation, deployment, and model lifecycle management.Drive … immediate value, future value, and technical rigour.A strong ability to communicate ideas to audiences of varying technical background and seniority.Data Science expertiseStrong grounding in statistical modelling and machine learning, such as predictive modelling at scale, unsupervised learning, causal inference, experimentation, optimisation and decisioningStrong understanding ...

trusted, high-impact analytical solutions. As a Data Analyst, you'll contribute across the analytical process, from preparing and exploring data through to statistical modelling, experimentation, impact evaluation and communicating results. You'll work with business and product teams to investigate complex commercial questions and generate robust evidence. … This role would suit someone with strong statistical knowledge who is excited by applying it to real-world problems. You don't need extensive commercial experience, but you should bring curiosity, experience using data, exposure to advanced methods and a desire to develop in a business environment. What ...

experience Relevant experience with Power BI or similar tools such as Tableau or Qlik for data storytelling, data visualisation and reporting Strong numeracy and statistical modelling expertise Excellent written and verbal communication skills You will be an experienced data professional who will bring strong technical expertise in data … science, machine learning and advanced analytics, with extensive experience using Python, SQL or Spark SQL, statistical modelling, natural language processing and large language models. You will have experience across the full machine learning lifecycle, including data cleaning, quality checks, model development, evaluation and deployment. You will also ...

challenges and translation into technical problem statements.. Working with diverse datasets, both internal and external.. Expert application and development of advanced machine learning or statistical modelling techniques to generate actionable insights and deliver measurable impact.· Provide hands-on technical mentorship and guidance to junior and mid-level data … 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 ...

benefit decision-making Our People Planning & Analytics team is looking for a new colleague who wants to contribute with solid experience in data analysis, statistical modelling and machine learning to contribute towards talent optimization, workforce planning and overall People Analytics.Please note: This role is based in London … support relocation.Core ResponsibilitiesUtilize statistical techniques to extract meaningful insights from diverse datasets related to candidate sourcing, application processes, employee onboarding, and end-to-end employee life cycle.Develop predictive models to forecast future talent needs, attrition rates, and identify potential recruitment challenges.Collaborate with HR and recruitment teams to identify opportunities ...

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 … 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 into practical test designs ...

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 … seeking 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 technology ...

machine learning models and scalable ML pipelines. Build and maintain machine learning infrastructure, ensuring strong governance, version control, and model lifecycle management. Apply advanced statistical modelling and experimentation techniques to solve complex business and marketing challenges. Partner with technical and non-technical stakeholders to translate data requirements into … approaches. Your Skills & Experience Strong experience in data science, machine learning, artificial intelligence, and advanced analytics. Expertise in Python and SQL for data analysis, modelling, and production-grade solutions. Experience designing, deploying, and maintaining machine learning models in cloud environments. Strong knowledge of Google Cloud Platform, with exposure ...

validated, 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 … with the 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 BI.Competent ...

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 ...

Generative AI applications leveraging LLMs, retrieval systems and agentic workflows.Evaluate emerging AI technologies and recommend practical applications across the organisation.Data Science & AnalyticsPerform 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 drive decision making … data-driven decision making.WHAT YOU'LL BRING:Essential ExperienceDemonstrable 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 analytical outcomes.Experience ...

management, strengthen decision-making, and support transformation objectives. By working closely with stakeholders across Risk, Technology, and the COO, the Data Scientist will integrate modelling, data management, and effective communication to enable evidence-based decisions and foster a data-driven culture within OTCR. Key Responsibilities Data Analysis & Modelling … Conduct in-depth exploratory data analysis to identify trends, patterns, and anomalies across diverse datasets. Develop and deploy predictive models, machine learning algorithms, and statistical techniques, including natural language processing (NLP). Perform quantitative analysis to support scenario testing, stress testing, and thematic risk assessments. Ensure models are explainable ...

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 ...

management, strengthen decision-making, and support transformation objectives. By working closely with stakeholders across Risk, Technology, and the COO, the Data Scientist will integrate modelling, data management, and effective communication to enable evidence-based decisions and foster a data-driven culture within OTCR.Key ResponsibilitiesData Analysis & ModellingConduct in-depth exploratory … data analysis to identify trends, patterns, and anomalies across diverse datasets.Develop and deploy predictive models, machine learning algorithms, and statistical techniques, including natural language processing (NLP).Perform quantitative analysis to support scenario testing, stress testing, and thematic risk assessments.Ensure models are explainable, validated, and compliant with internal governance ...

will develop advanced analytical solutions that identify future risks, opportunities, and outcomes. Key Responsibilities Develop predictive and prescriptive models using machine learning and statistical techniques. Analyse large and complex datasets to identify patterns, trends, risks, and performance opportunities. Work with stakeholders to define business problems, test hypotheses, and design … data structures for analytics and machine learning use cases. Monitor model performance and recommend improvements as business needs evolve. Document methodologies, data sources, and modelling approaches in line with governance standards. Requirements Experience delivering data science and predictive analytics solutions within a commercial or operational environment. Strong Python ...

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 ...

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 ...

retraining, ensuring alignment with AECOM’s global standards.Extract actionable insights from complex datasets to inform strategic decisions across infrastructure, environmental, and urban development domains.Apply statistical modelling, machine learning, and optimisation techniques to solve high-impact business problems, including resource allocation, project risk management, and asset lifecycle forecasting.Design ...

self-service reporting, early warning systems, customer segmentation and scoring, credit risk insights, or personalisation. • Strong understanding of AI and data science techniques, including statistical modelling, logistic regression, NLP, LLMs, Generative AI, and Agentic AI. • Strong track record of applying Agile product development methodologies. • Customer-centric mindset with ...