301 to 325 of 827 Statistics Jobs in England

knowledge of C# Operation of Kubernetes Clusters Building cloud native applications (AWS) Front-end web technologies (React, shadcn) Domain Driven Design Mathematical Aptitude, particularly statistics Data Engineering skills Experience in building production grade software with Agentic AI What we expect from our co-workers Curiosity and strong desire to learn ...

conception to delivery while aligning with business objectives. · Have an advanced knowledge level of the Data Science Toolbox (i.e. the fundamentals of Mathematics and Statistics, computer programming, Data Ingestion, Data Munging, Data visualisation, Machine Learning, Optimisation, Simulation, Reinforcement Learning and Big Data techniques and technologies) · Have experience of leading ...

conception to delivery while aligning with business objectives. · Have an advanced knowledge level of the Data Science Toolbox (i.e. the fundamentals of Mathematics and Statistics, computer programming, Data Ingestion, Data Munging, Data visualisation, Machine Learning, Optimisation, Simulation, Reinforcement Learning and Big Data techniques and technologies) · Have experience of leading ...

conception to delivery while aligning with business objectives.· Have an advanced knowledge level of the Data Science Toolbox (i.e. the fundamentals of Mathematics and Statistics, computer programming, Data Ingestion, Data Munging, Data visualisation, Machine Learning, Optimisation, Simulation, Reinforcement Learning and Big Data techniques and technologies)· Have experience of leading ...

business, procurement, finance, legal and internal stakeholders for sizeable commercial/enterprise deals- Bachelor's degree, or MBA in computer science, engineering, analytics, mathematics, statistics, IT or equivalent- Experience creating and implementing long-term transformational account strategies in a customer-facing role or equivalent- - Knowledge of the Telecommunications industryPreferred qualification ...

drive realistic customer expectations. You will embody our culture and values. QualificationsRequired QualificationsBachelor's OR Master's OR Doctorate Degree in Data Science, Mathematics, Statistics, Econometrics, Economics, Operations Research, Computer Science, or related field AND data-science experience (e.g., managing structured and unstructured data, applying statistical techniques and reporting results ...

care and continuous feedback, with an annual performance review cycle. Knowledge, Experience and Qualifications Essential Extensive commercial software experience. Degree in Computer Science, Mathematics, Statistics, Physics, Engineering or another relevant STEM discipline, or equivalent practical experience. Familiarity with our core stack, with strong experience in at least 2 components: Python ...

engineering and data engineeringIn-depth knowledge of statistical and machine learning models: gradient boosted trees, logistic regression, neural networks, survival analysis, etcSolid knowledge of statistics: hypothesis testing, confidence intervals, bootstrapExperience of end-to-end model development and maintenance of ML models used for business critical automated decisioning, in a consumer ...

statistical modelling, analysis and lightweight prototyping.Comfort with the modern data stack - a cloud warehouse (BigQuery or equivalent) and dashboard design principlesSolid grasp of statistics and experimental design - hypothesis testing, sample sizing, A/B testing rigour in a consumer-facing context.Strong product sense and commercial instinct - you can connect work ...

planning and contribute to the broader Life Sciences data science and AI strategy.Required qualificationsMaster’s, or PhD in Computer Science, Data Science, Machine Learning, Statistics, Bioinformatics, Cheminformatics, Information Retrieval, or a related field, or equivalent practical experience.At least 5 years of experience in data science, machine learning, NLP, statistical modelling ...

skills and clear ownership across the organisation.Track progress and increase data maturity, adoption and value. What you'll bring: A relevant degree (Data Science, Statistics, Mathematics, Computer Science, or related subject or equivalent) or professional certifications in analytics/data management.Proven experience of developing and delivering an organisation-wide data ...

have a view on where it helps and where it doesn’t. The requirements Essential: Statistical foundations . Strong grounding in probability and statistics, with an understanding of Bayesian reasoning and experience applying hierarchical modelling or decision-making under uncertainty. Causal inference . Experience separating signal from noise in observational ...

expected to have a view on where it helps and where it doesn't.The requirementsEssential:Statistical foundations. Strong grounding in probability and statistics, with an understanding of Bayesian reasoning and experience applying hierarchical modelling or decision-making under uncertainty.Causal inference. Experience separating signal from noise in observational and experimental data.Business ...

codeFamiliarity with common Python libraries for data management, statistical analysis, machine learning.Experience with popular machine learning frameworks such as TensorFlow and PyTorch.Strong understanding of statistics and probability.Strong knowledge of the machine learning lifecycle, from prototyping state-of-the-art to scaling and managing for enterprise use.Experience with one or more ...

ignore.Desired Experience & Qualifications8+ years in an analytics, data science, or decision science role at a consumer tech companyAdvanced degree in a quantitative field (economics, statistics, quantitative social science, operations research) or equivalent practical experienceDemonstrated experience with causal inference methods in applied settings (e.g., difference-in-differences, instrumental variables, regression discontinuity ...

improve the quality, consistency and efficiency of measurement.Communicate analytical findings and recommendations clearly to technical and non-technical stakeholders.Stay current with emerging developments in statistics, machine learning and AI, identifying opportunities to improve measurement capabilities and analytical workflows.Contribute to a culture of evidence-based decision-making by sharing knowledge, collaborating … across teams and promoting analytical best practices.What We're Looking For:Required:Master's degree (or equivalent industry experience) in Statistics, Economics, Mathematics, Computer Science, Data Science or another quantitative discipline. PhD preferred.3+ years of industry experience applying experimentation, causal inference, statistical modelling, machine learning or related analytical techniques ...

quality, consistency and efficiency of measurement. Communicate analytical findings and recommendations clearly to technical and non-technical stakeholders. Stay current with emerging developments in statistics, machine learning and AI, identifying opportunities to improve measurement capabilities and analytical workflows. Contribute to a culture of evidence-based decision-making by sharing knowledge … collaborating across teams and promoting analytical best practices. What We\'re Looking For: Required: Master\'s degree (or equivalent industry experience) in Statistics, Economics, Mathematics, Computer Science, Data Science or another quantitative discipline. PhD preferred. 3+ years of industry experience applying experimentation, causal inference, statistical modelling, machine learning or related ...

decision-making by educating stakeholders, sharing best practices, and communicating advances in experimentation, causal inference and applied data science.Stay current with emerging developments in statistics, machine learning and AI, identifying opportunities to improve measurement capabilities and analytical workflows.Represent the team across PlayStation, building strong partnerships, engaging senior stakeholders, and promoting … technical excellence in data science and experimentation.What We're Looking For:Required:Master's degree (or equivalent industry experience) in Statistics, Economics, Mathematics, Computer Science, Data Science or another quantitative discipline. PhD preferred.Strong industry experience (5+ years) applying experimentation, causal inference, statistical modelling and measurement science to solve complex business ...

making by educating stakeholders, sharing best practices, and communicating advances in experimentation, causal inference and applied data science. Stay current with emerging developments in statistics, machine learning and AI, identifying opportunities to improve measurement capabilities and analytical workflows. Represent the team across PlayStation, building strong partnerships, engaging senior stakeholders … promoting technical excellence in data science and experimentation. What We're Looking For: Required: Master's degree (or equivalent industry experience) in Statistics, Economics, Mathematics, Computer Science, Data Science or another quantitative discipline. PhD preferred. Strong industry experience (5+ years) applying experimentation, causal inference, statistical modelling and measurement science ...

Microsoft Fabric to develop practical, production-ready machine learning solutions. We are looking for a Data Scientist with a solid background in Machine Learning, Statistics and Predictive Analytics to join NTT DATA UK's Data Practice. You will contribute hands-on across the model development lifecycle, from data understanding … modern cloud data or analytics platform, such as Snowflake, Databricks, Microsoft Fabric, Azure, AWS or GCP. · MSc or equivalent experience in Data Science, Statistics, Mathematics, Computer Science, Artificial Intelligence, Physics, Engineering or a related quantitative discipline. · Experience with Spark or distributed data processing frameworks. · Experience preparing data pipelines or analytical ...

recurring workflows, and scale insight delivery.What You Need to SucceedThe ideal candidate combines strong analytical and modelling capabilities with hands-on expertise in SQL, statistics, and data visualization.Data-driven mindset with a degree in a quantitative discipline such as Engineering, Computer Science, Economics, Statistics, or Mathematics.Significant experience in data science … analytics, economics, statistics, or a related quantitative field, including hands-on experience analyzing large and complex datasets.Advanced expertise in SQL and Python, with experience building scalable analytical solutions and applying statistical methods to real-world business problems.Demonstrated experience applying advanced analytical methods—including machine learning, causal inference, synthetic controls ...

marketing, ecommerce, loyalty, or subscription environments Advanced Python and SQL skills Experience building predictive models and deploying data-driven solutions Strong understanding of experimentation, statistics, and machine learning Excellent stakeholder management and communication skills Experience with Databricks and ML lifecycle tools is beneficial ...

support to analysts and key stakeholders. You will need to have the following: A PhD or equivalent advanced qualification in Machine Learning, Data Science, Statistics, Mathematics or another quantitative discipline. Experience building and deploying production-grade machine learning models, with a solid understanding of MLOps, Git and CI/ ...

through the effective use of data science. Skills & Experience: Proven experience leading Data Science teams in a commercial environment. Strong knowledge of machine learning, statistics, Python and SQL. Experience developing and deploying predictive models using customer and commercial data. Experience with cloud analytics platforms (e.g. Databricks, Snowflake or BigQuery). ...

exposure to interest rates swaps, fixed income futures, interest rate options and foreign exchange. Experience in interest rates curves construction methodologies• Knowledge of statistics, including time series analysis and regressions• Strong organization skills with the ability to present results clearly and iterate with PMs accordinglyThe ideal candidate will be someone ...