26 to 50 of 137 Statistical Analysis Jobs

goes beyond traditional A/B testing. You will solve complex measurement problems where controlled experiments are difficult or impossible, applying modern causal inference, statistical modelling and machine learning techniques to generate robust business insights. You will collaborate closely with product, engineering, analytics and business teams to raise … PlayStation. Design robust measurement approaches across randomised experiments, quasi‐experimental methods and observational causal inference where controlled experimentation is impractical. Research, evaluate and prototype statistical, machine learning and AI techniques to solve complex real‐world measurement challenges. Apply advanced data science and machine learning techniques where appropriate to complement ...

develop data science and artificial intelligence solutions that improve research, operational efficiency, and decision-making. This role combines strong foundations in data management, statistical modeling, machine learning, and computational social science with emerging capabilities in generative AI and large language models (LLMs). The Data Scientist I will contribute … Social Sciences The Methodology and Quantitative Social Sciences department implements state-of-the-art methodologies and develops innovations to deliver reliable data and rigorous analysis to guide critical programmatic, business and policy decisions for NORC clients. The department provides leadership throughout the project lifecycle on study design, data collection ...

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 ...

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 ...

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 ...

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 ...

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 ...

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 ...

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 ...

initiatives This is a Senior Data Scientist/Analyst role within their global banking client’s developer experience team, supporting a new organisation-wide analysis initiative. This role sits at the intersection of data engineering and analytics, and requires strong, critical data processing and presentation skills to translate … ambiguous data into insights that directly drive strategic decisions across the organisation. Essential Requirements Stakeholder Management & Analysis Drive organisation-wide analysis, autonomously conducting gap analyses and translating ambiguous business needs into clear technical roadmaps. Manage expectations directly with users and data owners, keeping delivery aligned to business priorities. ...

business value through data. You'll ideally have experience with: Python, SQL and either R or similar analytical languages. Machine Learning, predictive modelling and statistical analysis. Databricks or comparable cloud-based analytics platforms. Tableau, Power BI or other data visualisation tools. Working with cloud data platforms, data lakes ...

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 ...

initiatives. This is a Senior Data Scientist/Analyst role within their global banking client’s developer experience team, supporting a new organisation-wide analysis initiative. This role sits at the intersection of data engineering and analytics, and requires strong, critical data processing and presentation skills to translate … ambiguous data into insights that directly drive strategic decisions across the organisation. Stakeholder Management & Analysis Drive organisation-wide analysis, autonomously conducting gap analyses and translating ambiguous business needs into clear technical roadmaps. Manage expectations directly with users and data owners, keeping delivery aligned to business priorities. Architect, build ...

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. ...

goes beyond traditional A/B testing. You will solve complex measurement problems where controlled experiments are difficult or impossible, applying modern causal inference, statistical modelling and machine learning techniques to generate robust business insights. You will collaborate closely with product, engineering, analytics and business teams to raise … PlayStation. Design robust measurement approaches across randomised experiments, quasi-experimental methods and observational causal inference where controlled experimentation is impractical. Research, evaluate and prototype statistical, machine learning and AI techniques to solve complex real-world measurement challenges. Apply advanced data science and machine learning techniques where appropriate to complement ...

Experience of Arm CPUs , System IP and debug tools Experience of AMBA protocols Understanding of ML applications and their workloads Experience in Characterization, Failure Analysis, Test Development, Statistical analysis, and Customer Support Benefits and Inclusion In addition to a competitive salary, Graphcore offers flexible working, a generous … confidential diversity data from all applicants. This data will be anonymised so that no personal identification information will be collected, and is retained for statistical purposes only and is not attached to your application. Your responses to the following questions will remain confidential and will not impact ...

development of evaluation datasets, gold standards, and annotation strategies. Guide and review experimental design, including offline evaluation and A/B testing, ensuring statistical rigor and validity. Contribute to responsible AI practices, including bias, fairness, and risk evaluation Apply and adapt state‐of‐the‐art techniques in NLP, embeddings … e.g., PyTorch, Hugging Face, LangChain, LangGraph, Haystack) Experience working with Databricks or similar distributed data/ML platforms Strong understanding of experimentation design and statistical analysis Preferred qualifications PhD in Computer Science, Data Science, Machine Learning, or a related field Experience working with large‐scale datasets (scientific, biomedical ...

development of evaluation datasets, gold standards, and annotation strategies. Guide and review experimental design, including offline evaluation and A/B testing, ensuring statistical rigor and validity. Contribute to responsible AI practices, including bias, fairness, and risk evaluation Generative AI & Applied Research Apply and adapt state … e.g., PyTorch, Hugging Face, LangChain, LangGraph, Haystack) Experience working with Databricks or similar distributed data/ML platforms Strong understanding of experimentation design and statistical analysis Preferred qualifications Batchelor's, Masters, PhD in Computer Science, Data Science, Machine Learning, or a related field Experience working with large-scale ...

global organisation. Key Responsibilities Analytics & Machine Learning Design, build, validate and maintain predictive and prescriptive models across travel, security and location-based datasets. Apply statistical analysis, machine learning and experimentation techniques to improve data quality, accuracy and reliability. Develop risk scoring models, benchmarks and domain-specific analytical frameworks … similar advanced analytics role. Strong programming skills in Python and SQL , with experience using modern machine learning libraries. Experience building predictive models using statistical and machine learning techniques. Strong communication skills with the ability to translate complex analysis into clear business insights. Experience working with large, complex datasets ...

global organisation. Key Responsibilities Analytics & Machine Learning Design, build, validate and maintain predictive and prescriptive models across travel, security and location-based datasets. Apply statistical analysis, machine learning and experimentation techniques to improve data quality, accuracy and reliability. Develop risk scoring models, benchmarks and domain-specific analytical frameworks … similar advanced analytics role. Strong programming skills in Python and SQL , with experience using modern machine learning libraries. Experience building predictive models using statistical and machine learning techniques. Strong communication skills with the ability to translate complex analysis into clear business insights. Experience working with large, complex datasets ...

a.m. to 5:00 p.m. The Process Improvement Officer is a senior individual contributor responsible for leading enterprise level business process documentation, analysis, and improvement initiatives across the credit union. A substantial portion of this role focuses on documenting and analyzing end to end business processes in an environment … this opportunity, please submit your fully completed application and resume through our website. Process Improvement Officer Essential Functions & Responsibilities: Business Process Documentation, Modeling & Analysis: • Document and analyze end to end business processes, including workflows, system interactions, controls, and exceptions. • Develop current state ("as is") and future state ...

Description As a Lead Data Scientist, you will spearhead the development of advanced probabilistic models that power real‐time betting markets. The Quantitative Analysis department harnesses data‐driven insights to enhance our betting products and services. The team is responsible for designing, developing, and maintaining sophisticated mathematical models … such as scikit‐learn, TensorFlow, or PyTorch. Proven ability to design and implement complex machine learning solutions and guide best practice. Deep understanding of statistical analysis and probability theory. Demonstrable experience overseeing the implementation of highly accurate, computationally efficient, and scalable models for large‐scale production environments. Track ...