51 to 75 of 218 Statistical Analysis Jobs

range of requirements including: Supports statutory, contractual and internal reporting requirements Supports all management information reporting solutions Supports corporate departments in their reporting and analysis Supports operational teams to understand their data quality and their performance The post holder will have an active role in taking requirements from users … establish clear requirements through to development, testing, implementation and maintenance. Provide specialist advice to staff on data warehouse, SQL development web development, data analysis and reporting, To ensure all development outputs are well designed, thoughtfully compiled and add value. Keep up to date with the latest technologies, methodologies ...

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 ...

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 ...

Applied Health and Social Care Research (CARe) at Sheffield Hallam University is seeking to appoint a Senior Research Fellow in Data Science to support analysis of administrative linked data to explore intersectional inequalities in perinatal mental health service pathways. CARe is part of the College of Health, Wellbeing … relevant impact. To secure external research income and contribute to the development of institutional research capability, environment and sustainability. The role will support the analysis of existing perinatal mental healthcare pathways within the NIHR Maternity Disparities Consortium and the Perinatal Mental Health and Psychosocial Wellbeing team. The post holder ...

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 ...

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 ...

Need A naturally curious mindset, with a genuine interest in exploring data and asking why Stakeholder management and communication skills, including explaining analysis clearly to different audiences SQL and data manipulation skills Python programming capability for analytics, automation and modelling Experience analysing large-scale survey, consumer or behavioural datasets … Statistical analysis and forecasting techniques Data modelling and analytical framework development Ability to identify trends, drivers and commercial opportunities from data Experience translating complex analysis into clear business recommendations Experience creating dashboards and data visualisations that effectively communicate insights Understanding of predictive analytics, machine learning ...

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. What You’ll Be Doing Data Analysis/Feature Engineering … identify and calculate features that can be leveraged by multiple use cases as well as models. Train Machine Learning Models: Use machine learning and statistical modelling techniques such as recommendations, reinforcement learning, decision trees, Bayesian analysis, neural networks and transformers to develop and evaluate algorithms to address business ...

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 ...

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 ...

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 ...

accountability across workflows.Partner with Product, Engineering, and Data teams to embed quality-by-design principles into ingestion, transformation, and delivery pipelines.Perform data profiling, statistical analysis, and root cause investigations to validate approaches and recommend improvements.Lead initiatives to modernize workflows—advocating for automation, AI/ML-enabled quality checks … complex findings clearly to both technical and non-technical audiencesStrong coding skills in Python (e.g. OOP, PySpark, Pandas, NumPy, etc) and experience with SQLStrong statistical & analytical skills (e.g. sampling methods), attention to detail, and a proactive empirical mindsetFamiliarity with data modelling & modern data tech stack tools such as Airflow ...

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 ...

purpose, and work with Product Directors/VPs to advocate for insights‐driven decision‐making. What you’ll need to succeed Proficiency in statistical analysis, data modeling, and data visualization. Ability to interpret complex data sets and translate findings into actionable insights. Experience with data analysis, data … 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 ...

D3.js) and techniques. Excellent writing skills, with the ability to create clear and concise reports and documentation. Proficiency in Python. Solid understanding of statistical analysis, machine learning, and predictive modeling. Strong problem-solving skills and attention to detail. Ability to work independently and collaboratively in a fast-paced ...

cross-sector innovation and academic communities What 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 sectors Strong programming skills in Python, R, and SQL Experience working with cloud ...

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/ ...

shaping pricing strategy across a fast-paced ecommerce environment. Working with large datasets, you'll help drive smarter buying and selling decisions through insightful analysis, experimentation, and data-driven recommendations. This is an excellent opportunity to work at the heart of a business undergoing an exciting pricing transformation, collaborating … trends. Design, execute, and evaluate pricing experiments and A/B tests. Analyse pricing simulations and measure business impact. Identify opportunities through root cause analysis and commercial insight. Present findings clearly to both technical and non-technical stakeholders. Automate reporting processes to improve efficiency. Work closely with Product, Technology ...

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 ...

reports and presentations. You will work as part of multidisciplinary teams under the guidance of more senior data science colleagues and contribute to technical analysis and solution design while continuously learning and upskilling on the job, including developing your domain expertise, commercial awareness, and stakeholder management skills. Key Responsibilities … Proven experience in applying data science in an industry or commercial setting. Ability to apply statistical analysis, machine learning, AI, and data visualisation techniques to solve real-world problems and generate actionable insights. Experience in prototyping and developing data science and data engineering solutions in languages such ...

reports and presentations. You will work as part of multidisciplinary teams under the guidance of more senior data science colleagues and contribute to technical analysis and solution design while continuously learning and upskilling on the job, including developing your domain expertise, commercial awareness, and stakeholder management skills. Key Responsibilities … Proven experience in applying data science in an industry or commercial setting. Ability to apply statistical analysis, machine learning, AI, and data visualisation techniques to solve real-world problems and generate actionable insights. Experience in prototyping and developing data science and data engineering solutions in languages such ...