26 to 50 of 180 Statistical Analysis Jobs in London

long-term partnerships, Veramed brings the right minds to every challenge. The Role The purpose of this role is to provide high‐quality statistical support. As a Senior or Principal Statistician, you may also take on a supervisory role, including line management and/or project leadership, depending … someone with significant experience in clinical studies and regulatory submissions, who is comfortable working directly with clients - including situations where there is no internal statistical support. You will be confident working independently, managing your own workload, and contributing across multiple projects and clients. Strong communication skills are essential, including ...

long-term partnerships, Veramed brings the right minds to every challenge. The Role The purpose of this role is to provide high‐quality statistical support. As a Senior or Principal Statistician, you may also take on a supervisory role, including line management and/or project leadership, depending … someone with significant experience in clinical studies and regulatory submissions, who is comfortable working directly with clients - including situations where there is no internal statistical support. You will be confident working independently, managing your own workload, and contributing across multiple projects and clients. Strong communication skills are essential, including ...

team adopt AI. This means finding real-world applications for AI tools to make our systems run faster, improve the quality of our data analysis and uncover deeper analytical insights.What You'll DoProduce original analyses to identify and explore opportunities to optimize our search engine marketing (SEM) bidding strategies … complex data into compelling storytelling and actionable recommendations.Expertise in interrogating data using SQL and writing custom SQL queries, and understanding of database structures.Understanding of statistical analysis techniques used for experimental design such as regression analysis, hypothesis testing, multivariate analysis and time series analysis.Experience using AI tools ...

will work collaboratively with energy policy specialists, economists and business consultants to deliver consultancy and research projects. You will act as a data analysis subject matter expert within the team and will provide leadership over aspects of our service offering. Your work will be underpinned by your ability … build robust data pipelines, document processes and decisions, support numerical/statistical analysis, and ability to communicate the results clearly to key decision‐makers. Previous analysis has been widely used across the industry, quoted by MPs and Ministers in Parliamentary debates, and featured across leading news outlets ...

title: Data Analyst Start Date: ASAP Contract: six months (possibility of extension) Location: Paddington (Hybrid) Sector: Retail Summary Producing an analysis is only part of the job; understanding whether it can be trusted, explained and used to support a decision is just as important. Our Advanced Analytics team helps … 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 ...

measurement and analytical approaches that build an understanding of performance and customers, embedding these learnings into day-to-day decision-making across the organisation.Quantitative Analysis: Answer complex business questions through detailed quantitative analysis and experimentation, extracting meaningful and actionable insights.Strategic Influence: Influence both strategic and tactical decision-making … have:5+ years of experience in analytics or data science - preferably in fields related to grocery, trading, marketing, or consumer product.A strong understanding of statistical analysis and experiment design.A Bachelor's Degree in Business, Mathematics, Statistics, or other quantitative discipline is beneficial, but not essential.Expert skills ...

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 teams … 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 ...

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 teams … 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 ...

fraud). If our labels are inaccurate, our models learn the wrong behavior. You will be responsible for label side quality, label monitoring, statistical integrity, and designing robust audit processes to ensure our ML infrastructure learns from clean, reliable data. How we work: At Wise, we operate with autonomous … will you be working on?: Building, scaling, and maintaining the integrity layer of our label platform for Risk ML models. Defining, implementing, and monitoring statistical fundamentals and key quality metrics for data and labels. Designing automated audit processes to evaluate and monitor label quality over time. Working ...

SummaryThe Principal Biostatistician – will leverage interactive R applications to explore, analyze, and communicate insights from clinical trial data. This role combines clinical trial expertise, statistical thinking, and modern R programming to support exploratory analyses, facilitate scientific discussions, and generate actional insights for study teams.The successful candidate will work closely … downstream exploratory analyses.- Identify trends, safety signals, efficacy patterns, subgroup differences, and data quality issues through interactive visualization.- Lead data review sessions and exploratory analysis meetings using interactive visualizations to communicate findings and facilitate scientific discussions.- Translate complex statistical results into clear visual narratives that support clinical decision ...

Google Cloud.Experience in some of the following areas would also be beneficial:Generative AI and machine learning concepts and applications.Structured and unstructured data management.Statistical analysis and predictive modelling.AI-enabled analytics and automation solutions.Personal AttributesCurious, proactive and eager to learn.Strong commercial awareness and problem-solving mindset.Comfortable working in dynamic ...

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 ...

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 ...

PURPOSEApply advanced data science, machine learning, AI/Gen-AI, and predictive analytics to drive technology decisions. Your work will support due diligence, market analysis, competitive intelligence, and strategic roadmap development through sophisticated modelling, performance analysis, and forecasting.KEY ACCOUNTABILITIESData Analytics & Strategic InsightsCreate technology strategy data and AI frameworks … native products and services for across the groupDevelop data aggregation, correlation, and visualization capabilities for technology performance metrics, market trends, and competitive intelligenceApply statistical and machine learning techniques to analyze technology adoption patterns, performance benchmarks, and strategic opportunitiesDefine and monitor KPIs for technology strategy initiatives, innovation programs, and strategic ...

leverage predictive analytics to enhance business decision-making and identifying key insights to help identify audience opportunities for prospecting. Main Responsibilities Lead data analysis initiatives across the subscriber lifecycle, from acquisition to retention and lifetime value. Define and maintain reports to track KPIs, providing actionable insights to stakeholders across … based business . Strong commercial acumen , with the ability to translate data insights into business strategies. Advanced analytical and quantitative skills , with expertise in statistical analysis and predictive modeling. Proficiency in SQL, Python, or R , and experience with data visualization tools such as Power BI, Tableau, or Looker ...

unstructured data from multiple internal and external sources.Develop, test, and deploy predictive models and machine learning algorithms to address business challenges.Conduct exploratory data analysis (EDA) to uncover trends, patterns, anomalies, and key drivers.Communicate insights and recommendations through clear storytelling, visualisations, and dashboards.Collaborate with engineering teams to productionise models … model accuracy and effectiveness, implementing continuous optimisation and tuning.Stay up to date with emerging data science tools, methodologies, and industry best practices. Perform sensitivity analysis to assess model robustness and variable impact What experience you'll bring: At least 5 years’ experience in client‐facing data science roles with ...

WPP.com. We are looking for a Senior Digital Insight Analyst & CRO to join our Data & Marketing team. In this role, you will lead the analysis of user behaviour across complex, multi-market digital environments—identifying key optimization opportunities and defining data-driven strategies to elevate user experiences and boost … conversion performance. What will you do? Customer Journey & CRO Strategy: Lead funnel and behavioral analysis across digital touchpoints, collaborating closely with CRO and product teams to design, run, and evaluate experimentation initiatives (A/B testing, incrementality analysis, and heuristic reviews). Advanced Analytics & AI: Perform statistical ...

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 analytical ...

fraud). If our labels are inaccurate, our models learn the wrong behavior. You will be responsible for label side quality, label monitoring, statistical integrity, and designing robust audit processes to ensure our ML infrastructure learns from clean, reliable data.How we work: At Wise, we operate with autonomous, cross … with.What will you be working on?:Building, scaling, and maintaining the integrity layer of our label platform for Risk ML models.Defining, implementing, and monitoring statistical fundamentals and key quality metrics for data and labels.Designing automated audit processes to evaluate and monitor label quality over time.Working ...

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 … 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 ...

will include being responsible for and having oversight of translating and validating client data, production of CLR ready Valuation Portfolio data and producing data analysis and reports for internal clients (Valuation team) regarding valuation portfolio data.Key Responsibilities: Develop, execute and manage data transformation scripts to produce Valuation portfolio data. … develop, consider the best method for communicating and ask for support and advice when unsure.Key Skills & Experience:EssentialDemonstrable Data Processing/Handling and Data Analysis skills. Professional experience in a Data Analyst role SQL Scripting, R, Python, Power BI, Advanced MS Excel. Cloud Based Data Platform (Azure, Databricks ...

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 taking ...

establish direction and purpose, and work with Product Directors/VPs to advocate for insights-driven decision-making.What you'll need to succeedProficiency in statistical analysis, data modeling, and data visualization. Ability to interpret complex data sets and translate findings into actionable insights. Experience with data analysis … without requiring constant guidance.Understanding of business strategy and how data-driven insights can support and enhance product and business goals. Ability to align data analysis with business objectives.You’ll need to have a prior experience as a data analyst and to hold a business or engineering degree.What makes ...

their data capability from the ground up, in an organisation where the work genuinely matters.The roleThis is a hands-on leadership role combining statistical analysis, machine learning and business acumen to identify opportunities, solve complex problems and drive measurable value, not for its own sake, but to strengthen … emerging technologies in service of that same people-first mission.What you’ll doLead a small multidisciplinary team covering data ingestion, quality, reporting, dashboards, analysis and future data science capability Own and manage the data service roadmap, prioritising new data sources and reporting in partnership with internal stakeholders Present ...

Identify opportunities to simplify and automate, building sustainable long-term solutions**What we're looking for:**- Solid foundation in data mining, modelling, and quantitative analysis- Experience working with large-scale datasets (professional or academic)- Clear written and verbal communication skills — able to tell the story behind the data- Comfort … data visualization using Tableau, Quicksight, or similar tools- Experience with one or more industry analytics visualization tools (e.g. Excel, Tableau, QuickSight, MicroStrategy, PowerBI) and statistical methods (e.g. t-test, Chi-squared)- Experience with scripting language (e.g., Python, Java, or R)- Experience with SQL- Experience in the data/ ...