51 to 75 of 283 Statistical Analysis Jobs in England

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 ...

make a significant difference within a well-established and rapidly growing organisation. Your day to day will consist of...... Proactively and collaboratively develop Analysis and Insight Statistical analysis and modelling Report making to help deliver optimal management decisions Identify, quantify and prioritise opportunities to enhance operational efficiency … world-class operation to drive continuous improvement. Apply analytical and technical ability to ensure the team delivers the highest standards of analysis and reporting to key stake holders What we want from you...... Minimum 2:1 within a numeric based degree i.e. Maths, Economics, Physics etc. Proficient ...

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 ...

this role are expected to apply knowledge of experimental methodologies, statistics, recommendations, reinforcement learning, optimisation, probability theory, and machine learning, using code for statistical analysis and tool building, using both general-purpose software and statistical languages.The ideal candidate will have endless curiosity and can pair a global … Roku? At Roku, we don’t just use AI, we work with it. AI agents and smart tools help power drafts, analysis, and repetitive workflows, while our people bring direction, judgment, and accountability. We’re looking for curious, adaptable builders who can show how they’ve used ...

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 ...

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 ...

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 ...

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 ...

intelligence role responsible for leading the development, delivery and improvement of health intelligence, insight and research programmes across Slough. The postholder will provide expert analysis, interpretation and evidence-based advice to support strategic planning, commissioning, policy development and service improvement across the Council and wider health and care system.The … role focuses on embedding an insight-informed decision-making culture by using epidemiology, data science, statistical analysis, qualitative insight and data visualisation to understand local population needs, reduce health inequalities and improve health and wellbeing outcomes for residents. A key part of the role is leading health intelligence ...

intelligence role responsible for leading the development, delivery and improvement of health intelligence, insight and research programmes across Slough. The postholder will provide expert analysis, interpretation and evidence-based advice to support strategic planning, commissioning, policy development and service improvement across the Council and wider health and care system. … role focuses on embedding an insight-informed decision-making culture by using epidemiology, data science, statistical analysis, qualitative insight and data visualisation to understand local population needs, reduce health inequalities and improve health and wellbeing outcomes for residents. A key part of the role is leading health intelligence ...

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 ...

this role are expected to apply knowledge of experimental methodologies, statistics, recommendations, reinforcement learning, optimisation, probability theory, and machine learning, using code for statistical analysis and tool building, using both general-purpose software and statistical languages. The ideal candidate will have endless curiosity and can pair … ability to respond quickly to changing business needs. This role requires hybrid working from the Roku Manchester office. What You'll Be Doing Data Analysis/Feature Engineering: Apply your expertise to identify and calculate features that can be leveraged by multiple use cases as well as models. Train ...

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 ...

planning and operational decision making Assess the impact of new processes, systems and technology using data before and after implementation Develop cost and benefit analysis to support business cases and proposed changes Identify opportunities to automate data collection, cleansing, reporting and visualisation Work closely with operational, product and technology … teams Present findings clearly to both technical and non-technical stakeholders, including senior management Help turn complex analysis into straightforward information that teams can act upon Ensure recommendations consider customer experience, efficiency, cost and commercial impact What we are looking for You should have at least two years' commercial ...

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/ ...

data management, and emerging AI technologies. The successful candidate will support data-driven decision making across the organization while developing technical skills in data analysis and visualization. Key Responsibilities: Data Management & Quality Perform data cleansing, validation, and quality assurance processes Identify and resolve data inconsistencies and anomalies Document data … proficiency in Excel and data manipulation techniques, along with basic knowledge of SQL for data querying and retrieval. A solid understanding of fundamental data analysis concepts and methodologies is essential, as is familiarity with database management principles and basic statistical analysis techniques. Beyond technical capabilities, we seek ...

products, delivering insights to clients, and utilising data to make smarter, better decisions. You will be responsible for applying data mining techniques, undertaking statistical analysis, deploying cutting edge machine learning tools and techniques, and drawing insights and building predictive models on both structured and unstructured data. This role … sourcing external structured and unstructured data sets to enhance services and insightsProcessing, cleansing, and verifying the integrity of data used for analysisPerforming ad-hoc analysis and presenting results from a business-centric perspectiveBuilding innovative models to classify and predict tax and legal data leveraging state-of-the-art machine ...

development best practices (version control, testing, documentation).Experience with machine learning libraries such as scikit-learn, PyTorch, or Keras.Strong data visualization and exploratory data analysis skills.Ability to translate complex analytical concepts into clear, actionable insights.Strong collaboration and communication skills across multidisciplinary teams.Fluency in English (oral and written).This … Learning Algorithms, Nlp (Neuro-Linguistic Programming) And Genai, Organization Awareness, Pandas (Python), Python (Programming Language), R (Programming Language), Sql (Structured Query Language), Stakeholder Engagement, Statistical Analysis, Time Series AnalysisSummaryLocation: Cambridge (USA)Type: Full time ...

academic research. Main duties of the job Development of specialist clinical bioinformatics tools and workflows for Lymphoma Precision Medicine, including ctDNA based pathways Specialist analysis of lymphoma genomic data: secondary and tertiary bioinformatics Continued improvement of specialist clinical bioinformatics tools processes and workflows for delivery of genomic diagnostic services … registration Experience Essential Has developed bioinformatics tools and/or resources Has implemented bioinformatics tools and/or resources Has experience of performing specialist analysis and interpretation of genomic data Has experience of performing bioinformatics analysis of next generation sequencing data Has developed software using an object-oriented ...