51 to 75 of 267 Statistical Analysis Jobs in England

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 ...

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 ...

Water in cross-sector innovation and academic communitiesWhat skills & qualifications you will need:Degree in a numerate subject (e.g. Mathematics, Statistics)Proven experience in statistical analysis and data science, ideally within the water industry or similar sectorsStrong programming skills in Python, R, and SQLExperience working with cloud platforms ...

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 ...

transformation to 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 and identify … with 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 ...

data-driven culture by enhancing analytical capability, promoting self-service insights and championing evidence-based decision-making across the organisationApply advanced analytical techniques, including statistical analysis, predictive modelling and data science methodologies, to uncover trends, identify risks and generate prescriptive insightsWhat you’ll need to succeedDegree in data … analytics, statistics or a closely related field2+ years experience working as an analyst within a large, regulated organisationExperience conducting quantitative analysis and communicating insights to both technical and non-technical audiencesStrong problem solving skillsStrong Excel, SQL and Power BI skillsStrong communication and stakeholder management skillsExcellent attention to detail#LI-AIGAt ...

honest perspectives through active listening and engaged participation. Technical Leadership & Project Delivery Leading technical project delivery by designing solutions, writing code, and conducting analysis using Agile principles. Using data and operational management techniques to improve operational performance. Providing technical oversight to data scientists, identifying opportunities to use data … demonstrate proven experience in any combination of the following skills, with a priority on the technical areas listed below: Technical CapabilitiesStrong data manipulation and analysis skills. Programming using Python and SQL (additional languages are a benefit). Dashboarding using Tableau and/or Power BI and data visualisation using ...

product KPIs, success metrics and analytics requirements for digital products.Experience writing requirements for product analytics, event tracking, instrumentation and reporting.Strong understanding of customer behaviour analysis, product performance measurement, product lifecycle metrics and digital commerce.Experience analysing digital product performance using metrics such as conversion, engagement, adoption, retention, utilisation and revenue.Experience … such as GA4, Amplitude, Mixpanel, Pendo or similar is highly desirable.Familiarity with experimentation methodologies including A/B testing, hypothesis-driven product development and statistical analysis would be advantageous.Excellent stakeholder management and communication skills, with the ability to explain technical concepts and analytical findings to both technical ...

Strong hands-on experience with data visualisation tools such as Tableau, Power BI, or Looker. Familiarity with programming languages like Python or R for statistical analysis is highly advantageous. Excellent communication skills, with the ability to explain complex data concepts to non-technical audiences clearly and concisely. ...