101 to 125 of 407 Permanent Statistical Analysis Jobs

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 ...

Data Analyst/Econometrician to join a growing Data & Insight team. This is a fantastic opportunity for someone who enjoys combining data analysis, forecasting and commercial thinking to solve real business problems. You'll work with an established insight function, helping to create meaningful analysis, improve forecasting capability … help build a stronger understanding of future market performance. You'll work across a broad range of analytical projects including forecasting, benchmarking, market analysis and performance reporting. This role is about more than producing numbers. You'll be expected to interpret findings, spot opportunities for improvement and communicate complex ...

Apply 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. Data Analytics & Strategic Insights Create technology strategy data … native products and services across the group Develop data aggregation, correlation, and visualization capabilities for technology performance metrics, market trends, and competitive intelligence Apply statistical and machine learning techniques to analyze technology adoption patterns, performance benchmarks, and strategic opportunities Define and monitor KPIs for technology strategy initiatives, innovation programs ...

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 ...

languages: SQL, Python, RCloud computing platforms: Azure, AWS, GCPExperience in any aspects of the data analytics lifecycle, for example:Data StrategyData Manipulation and ETLData Analysis & VisualizationApplying machine learning statistical analysis and other advanced analytics techniques to key business issues faced by our clients that can transform ...

PowerBI, Tableau, Qlik Programming languages: SQL, Python, R Experience in any aspects of the data analytics lifecycle, for example: Data Manipulation and ETL Data Analysis & Visualization Applying machine learning statistical analysis and other advanced analytics techniques to key business issues faced by our clients that can transform ...

similar analytical role, preferably within the fleet industry Strong proficiency in programming languages including Python, R and SQL for data manipulation, analysis, and modelling Strong commercial acumen, able to contribute directly to overall business strategy and identify opportunities for models and technical solutions to solve commercial problems Strong understanding … statistical analysis, machine learning techniques, and optimisation algorithms Experience with data visualisation tools such as Qlik, Power BI, or Matplotlib for presenting insights and findings is preferable Experience working with Microsoft Fabric, with an understanding of modern data platforms, lakehouse architectures, data engineering, analytics and AI capabilities ...

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 ...

performance and customers, embedding these learnings into the Category team's day-to-day decision making. Answer complex business questions through detailed quantitative analysis and experimentation, extracting meaningful and actionable insights. Influence both strategic and tactical decision-making in our EU Leadership and Category Management teams through strong communication … 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 ...

scientists supporting the industrialisation of Li-ion batteries and cells. Reporting to the Head of Product Engineering this position will support the capture and analysis of data generated from the production and test of UKBIC baseline and customer products. The purpose of this role is to deliver data insights … analytical workflows. The successful candidate will help shape the evolution of Insights Hub from foundational time-series data visualisation and reporting through to advanced statistical analysis, modelling, machine learning and predictive analytics capabilities. The analytics capability is expected to evolve in stages, beginning with establishing access to manufacturing ...

ensure its quality and suitability for analysis. Development and maintenance of efficient data pipelines for automated data acquisition and processing. Design and conduct of statistical and machine learning models to analyse patterns, trends, and relationships in the data. Development and implementation of predictive models to forecast future outcomes … other areas of work, for business aligned support areas to keep up to speed with business activity and the business strategy. Engage in complex analysis of data from multiple sources of information, internal and external sources such as procedures and practises (in other areas, teams, companies, etc) to solve ...

units. This role will focus on gathering, analysing, and synthesising customer data from multiple sources to inform brand messaging, campaign strategies, audience targeting, trend analysis, and product development. The successful candidate will champion data-driven decision-making, translating complex insights into clear, actionable recommendations that empower stakeholders to make … informed, customer-focused decisions. Customer Insights and Data Analysis Collect and integrate data from multiple sources, including customer behaviour, sales data, market trends, social media, and feedback channels, to build a comprehensive understanding of Footasylum’s customers. Conduct in-depth analysis to identify customer preferences, behaviours, and trends ...

customer activity, product usage, content consumption, distributionchannelsand commercial operations. Develop monitoring frameworks toidentifyunauthorised usage, revenue leakage, abuse, fraudindicatorsand emerging business risks. Conduct quantitative analysis toidentifytrends, anomalies and opportunities across products,servicesand customer segments. Support investigations involving contractual non-compliance and other revenue-impacting activities. Identifyrelationships, patterns and connections across … support complex enquiries and investigations. Work closely with Data Science, Product and Engineering teams to develop scalable analytical solutions. Conduct behavioural, trend and network analysis toidentifyclusters,anomaliesand indicators of misuse. Contribute to the development of new methodologies, tools and analytical capabilities that enhance Revenue Protection operations. YOUR PROFILE 2+ ...

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 … performance.Evaluate 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 impactWhat experience you'll bring:At least 5 years’ experience in client‐facing data science roles with demonstrable ...

assisted development: High proficiency using Kiro/Claude as daily development tools not just prompting, but leveraging AI to accelerate pipeline development, data analysis, and automation Skills & agents: Hands-on experience building AI skills and agents within the Amazon internal ecosystem (AIM, MCP integrations), or a strong desire … 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/ ...

actionable insights aligned with Army training objectives.Design and deliver clear, meaningful visualisations and reports that support operational decision-making.Explore and analyse through use of statistical tools and techniques data to identify patterns, relationships and trends to inform further development.Collaborate with data architects and engineers to ensure analytical outputs align … evolution of data architectures by contributing analytical requirements and feedback.Communicate analytical findings clearly to non-technical stakeholders to inform strategy and operational improvements.Conduct exploratory analysis and limited prototyping to evaluate emerging data techniques relevant to training analytics.Ensure analytics processes comply with security, governance, and regulatory requirements.Author and maintain documentation ...

aligned with Army training objectives. Design and deliver clear, meaningful visualisations and reports that support operational decision-making. Explore and analyse through use of statistical tools and techniques data to identify patterns, relationships and trends to inform further development. Collaborate with data architects and engineers to ensure analytical outputs … data architectures by contributing analytical requirements and feedback. Communicate analytical findings clearly to non-technical stakeholders to inform strategy and operational improvements. Conduct exploratory analysis and limited prototyping to evaluate emerging data techniques relevant to training analytics. Ensure analytics processes comply with security, governance, and regulatory requirements. Author ...

Description SummaryThe mission of Novartis is to reimagine medicine, and our team advances that mission by applying advanced image analysis, computer vision, and AI methods to early drug discovery. We partner closely with experimental scientists, disease-area teams, data scientists, bioinformatics experts, and platform engineers to extract meaningful biological … organoids, tissue models).To grow this capability, we are seeking a seasoned, innovative, and collaborative data scientist with deep expertise in AI-enabled image analysis to join the Data Science team in Discovery Sciences (DSc) at Novartis Biomedical Research, Cambridge, MA. This role combines hands-on delivery of robust ...

project performance indicators and identify trends, deviations, and improvement opportunities.Present clear and actionable insights to stakeholders to enable effective project governance decisions.Data Modelling & Analysis:Develop descriptive and predictive analytics models to assess potential project outcomes based on current data and trends.Risk & Performance Management:Collaborate with the risk management team … Familiarity with project controls disciplines such as cost control, scheduling, and risk management.Understanding of Earned Value Management (EVM) and techniques like cost forecasting, variance analysis, and benchmarking.Qualifications & ExperienceBachelor’s degree in data science, Engineering, Project Controls/Management, Finance, or a related discipline.Professional certifications (e.g., AACE ...

understood and optimised. You will be the subject matter expert for reporting, analytics and insight generation, helping stakeholders make informed decisions through robust data analysis, advanced reporting solutions and innovative use of technology, including AI. Location: This role is be based in our London or Bournemouth office, please note … analyse large, complex datasets from multiple sources. Develop reusable data models and reporting structures that improve efficiency and reporting accuracy. Conduct deep-dive analysis across campaign performance, customer behaviour, performance, attribution and ROI. Translate complex datasets into clear, actionable recommendations for marketing and business leaders. Support evidence-based decision ...

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 ...

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. 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 ...

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 ...