1 to 25 of 90 Statistical Analysis Jobs in London

support data-driven decision-making across the organization. You will collaborate closely with various stakeholders to identify business needs, design data models, perform statistical analysis, and present findings in a clear and concise manner. The ideal candidate has a strong analytical mindset, advanced data manipulation skills … efficient data models, databases, and reporting systems. Identify, analyse, and interpret trends or patterns in complex data sets to support strategic business decisions. Conduct statistical analysis and generate meaningful reports and visualizations to communicate findings effectively. Collaborate with cross-functional teams to define key performance indicators (KPIs ...

potential policy changes The LTEC programme is a strategically important, research initiative designed to address critical evidence gaps long-term, systematic data collection and analysis across 37 sites in England. The programme's success depends not only on data collection, but on robust statistical design and analysis … monitoring design, a key 2026/27 priority, ensuring that future data collection is efficient, targeted, and statistically robust. skills & requirements Key Tasks * Provide statistical leadership for the LTEC programme, undertaking complex statistical analysis to help meet its primary objectives. * Unlock the value of long-term datasets ...

that drive informed decision‐making for our clients. You will also work closely with clients to help shape their data strategy. Key responsibilities Data analysis and reporting : Conducting in-depth data analysis, generating reports, and providing actionable insights for client projects. Data and BI visualisation : Producing BI dashboards … etc. Client interaction : Collaborating with clients to understand their needs, translating these into analytical solutions, and presenting findings in a clear, actionable manner. Requirements Analysis and synthesis Application of analytical techniques : Proficiency in applying various analytical methods such as statistical analysis, data mining, and qualitative analysis. Ability ...

clients' needs. The role is very hands‐on and you'll support as a senior contributor role for a project, focusing on: Data analysis and reporting : Conducting in-depth data analysis, generating reports, and providing actionable insights for client projects. Data and BI visualisation : Producing BI dashboards using … that the wider context of a delivery is considered and maintain alignment between the operational and analytical aspects of the engineering solution. Key responsibilities Analysis and synthesis Application of analytical techniques : Proficiency in applying various analytical methods such as statistical analysis, data mining, and qualitative analysis. Ability ...

real weight with regulators, courts, customers and candidates, and the methodology behind them has to hold up. The role spans AI system evaluation, rigorous statistical analysis, synthetic data generation, and an applied understanding of hiring and selection procedures. You’ll join a team with deep expertise in behavioral … social sciences, evaluation methodology, and structured bias testing. You’ll need strong statistical and probabilistic reasoning: fluency with techniques like uncertainty quantification, experimental design, causal inference and Bayesian modeling. Just as essential is commercial instinct: the judgment to design rigorous, workable methods within real product goals and constraints, built ...

Master's degree in Engineering (any domain), Operations, Business Administration, or a related field Knowledge of concepts like system architecture, optimization, system dynamics, system analysis, statistical analysis, reliability analysis, electronic system design, and decision making Experience with complex automated material handling equipment, packaging technologies, and systems ...

Analytics (DSAA) team. This is a new role for a state-of-the-art individual contributor who thrives at the interface of computational science, statistical rigour, and drug development. You will execute and drive exploratory and confirmatory analyses across a rich variety of data types - from clinical trial data … apply novel computational methods for patient segmentation, biomarker discovery, and hypothesis generation from multimodal clinical and omics datasets, in partnership with Translational, Clinical, and Statistical Scientists Execute data science analyses on datasets from BMS clinical trials and real-world data cohorts, spanning genomics, proteomics, imaging, flow cytometry, and other ...

shaping the future of marketing technology — and actually enjoys doing it — you're in the right place. Find us on Instagram: @optimizely Introduction Rigorous statistical analysis is a core to all experimentation products at Optimizely. You will get on customer calls to articulate how we maintain statistical accuracy in our products as well as triage questions around statistical inference. You will educate internal and external stakeholders about fundamental as well as cutting edge statistics concepts via webinars, speaking engagements, blog posts, and white papers. You will also have the opportunity to work with our product ...

with demonstrable examples of problem statements or hypotheses through to analytical outputs. At least 3 years of intermediate-level experience with using SQL and statistical platforms (in an analytical context). At least 2 years of foundational-level experience with using Python and statistical analysis … with demonstrable examples of problem statements or hypotheses through to analytical outputs. At least 3 years of intermediate-level experience with using SQL and statistical platforms (in an analytical context). At least 2 years of foundational-level experience with using Python and statistical analysis ...

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, or 3 years of work experience with a PhD degree. Experience with Python, SQL, and statistical modeling. Experience working with generative … agents. Preferred qualifications: 8 years of work experience using analytics to solve product or business problems, coding (e.g., Python, R, SQL), querying databases or statistical analysis, or 6 years of work experience with a PhD degree. Experience in software development and source control methodologies. Experience working with cloud ...

data and data science. We address a broad spectrum of reliability problems where data-driven approaches can be applied, combining subject matter expertise with statistical, predictive, and generative AI/ML methods to improve reliability in ways that truly matter to our client's users and customers. In this … role, you will design statistical and machine learning tools, influencing engineering priorities and roadmaps in key areas like software rollouts and change management. You will have a direct impact on our Platform reliability, gaining deep knowledge of relevant engineering infrastructure and data assets to solve complex issues. Behind everything ...

client’s team in Central London. You’ll play a pivotal role in driving data-informed decision-making through advanced A/B testing, statistical analysis, and enterprise-level business intelligence solutions This is a client-facing position where you’ll work embedded within the client’s team … initiative, and the ability to represent CI&T professionally Design, implement, and analyze A/B tests to measure product and feature performance Apply statistical methods to ensure test validity and generate actionable insights Present findings and recommendations to stakeholders Design, build, and optimize semantic data models in Power ...

generation through to evidence-based recommendations. Evaluate diverse structured and unstructured datasets to identify commercial opportunities. Establish and maintain high standards for data evaluation, statistical analysis, and technical excellence. Improve processes to increase the speed and accuracy of data source assessments. Partner with data acquisition teams to support … automation to enhance research quality and efficiency. Your Skills & Experience Strong commercial experience leading data science, data research, analytics, or statistical research teams. Deep expertise in statistical analysis, data modelling, and working with complex real-world datasets. Advanced Python and SQL skills with the ability to review ...

will help ensure compliance with industry regulations while driving excellence in quality monitoring and reporting. Key Responsibilities Lead monthly product quality monitoring activities, utilising statistical analysis and trending methodologies to identify emerging quality signals and product performance concerns. Develop, maintain, and enhance Power BI dashboards and reporting tools … support quality monitoring and business decision-making. Conduct detailed complaint investigations, trend analysis, and ad hoc data reviews to support product improvement and risk mitigation programmes. Support post-market surveillance activities, including trending analysis, product monitoring, risk reviews, and safety reporting requirements. Ensure compliance with quality management systems ...

sources. Assess the quality, reliability, and commercial value of datasets to determine whether they are worth purchasing and integrating into products. Design and oversee statistical analysis, modelling, and time series research to validate potential data assets. Work closely with stakeholders across data, partnerships, and technology teams to develop … efficiency and quality. Your Skills & Experience Strong commercial experience in data science, statistics, quantitative research, or a related field. Python skills, with experience applying statistical analysis and time series techniques to complex datasets. Strong understanding of data quality assessment, feature engineering, and modelling. Strong communication skills with ...

conversion bottlenecks, and opportunities to improve sign-up rates. Monitor key subscription and user engagement metrics through daily, weekly, and monthly dashboards, and own analysis of metric changes over time. Perform deep-dive analyses on user retention. Present user insights to stakeholders by clearly identifying our most valuable users … models, continuously refining them by incorporating new data to improve accuracy. Build and improve churn prediction models to proactively identify at‐risk subscribers, using statistical or machine learning techniques as needed. Work with large subscription and engagement datasets to calculate LTV and churn while accounting for promotional pricing, seasonality ...

communicate progress and deliver results. Sharp analytical skills — you love digging into data, solving problems, and turning insights into action. You’re skilled in statistical analysis, regression, correlation analysis, and exploratory data analysis (EDA) Exceptional communication and stakeholder management skills — you can influence at all levels ...

understand their requirements and translate them into practical analytical solutions. Analyse large and complex datasets to identify trends, patterns, opportunities and issues. Use statistical and mathematical techniques to investigate business problems and support decision-making. Develop predictive models, algorithms and machine learning solutions where appropriate. Use R for statistical analysis, modelling and data science. Use Python to develop scripts, automate processes and deploy analytical solutions. Challenge assumptions and investigate the underlying drivers behind business performance. Reporting & Visualisation Develop and maintain Tableau dashboards and reporting for teams across the business. Improve existing reports and identify opportunities to make ...

subscription analytics. Advanced SQL skills with experience working in cloud-based data warehouse environments. Experience creating data models and transforming raw event data into analysis-ready datasets. Strong dashboarding and reporting experience using BI tools such as Looker Studio or similar platforms. Knowledge of statistical analysis techniques … including cohort analysis, experimentation, regression, survival analysis, and predictive modelling. Experience developing LTV, retention, or churn analysis frameworks. Excellent problem-solving skills and attention to detail. Ability to communicate complex insights and influence stakeholders across multiple business functions. Experience with Python or R would be beneficial. Exposure ...

Senior Business Intelligence Analyst with strong analytical and technical skills to help improve our digital, marketing, engagement and fundraising activity. Youll use advanced analysis, predictive techniques and data visualisation to uncover audience insight, optimise content and channels, and turn complex data into clear, practical recommendations. Working closely with colleagues … projects, develop reports and dashboards, and help build confidence in data-led decision-making across the organisation. What youll be doing Conducting in-depth analysis to understand audience behaviour, campaign, channel and content performance, and engagement trends Applying advanced analytical techniques, including propensity modelling, predictive analytics and segmentation ...

make smarter investment and asset management decisions. The primary focus of this role will be in applying machine learning and predictive analytics techniques, doing statistical analysis, and building high-quality prediction systems integrated with our business model. This role will support and challenge the investment and asset management … predictive analytics model to make meaningful information valuable to UK investment process and challenge the UK investment team’s thesis with data backed analysis Enhancing data collection procedures to include information that is relevant for building analytic systems Processing, cleansing, and verifying the integrity of data used for analysis ...

clients including data dashboards (Excel or other data visualisation tools), web hosted solutions, Word reports, and PowerPoint presentations Explain complex technical concepts underpinning your analysis in simple terms to clients to help them understand how their business needs are being addressed Identify risk on the assignment, involving Director/… Partner appropriately in its resolution Analytics & AI Solutions Design and build complex database models and insightful visualisation dashboards to perform analysis on large diverse datasets Leading a team in designing analytical solutions (data pipelines, visualisations, machine learning models), undertaking proof-of-concepts, and implementing these solutions to help clients ...

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 strategic … 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 ...

passion for solving complex problems, and a deep understanding of financial and client behavioural data. You will be responsible for delivering high-impact data analysis, automating reporting processes, and implementing scalable solutions that support strategic decision-making across financial advisory services that support their UK and European businesses. This … hybrid basis from the client's London office. Key Responsibilities Executive level story telling & reporting to influence strategic decisions. Perform advanced data analysis to uncover insights across financial, sales, and client behavioral datasets. Design and implement scalable data solutions and automated reporting workflows. Develop models and dashboards that track ...

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 analytical ...