251 to 275 of 715 Statistics Jobs in England

with SQL/large datasets/AI tools and the aptitude and willingness to learn BA/BS or equivalent qualification. Major in finance, statistics, quantitative economics or another degree emphasising data analysis preferred Bonus points if you have: Familiarity with BI & Sales tools such as Nexus, Claude, Gemini, Tableau ...

financial sector.Experience with standard rates models (SABR, HJM) and products (Swaptions and CMS Caps).Excellent technical/programming skills in C++ and Python.Proficiency in statistics and probability-based calculations, including using probability theory to evaluate risks, solve analytical equations, and design numerical schemes for complex financial instruments.Strong understanding of software ...

developing and leading a high-performing analytics teamAbout YouStrong experience with SQL, Python or similar analytics tools Deep understanding of experimentation frameworks and the statistics behind them Proven experience building segmentation and targeting models using machine learning Confidence using BI tools like Power BI to tell compelling data stories ...

team members and help foster a collaborative and innovation-driven environment across functions.What we’re looking for:Master’s degree or PhD in Mathematics, Statistics, Physics, Engineering, Computer Science, or a related quantitative discipline.Significant experience in a quantitative, trading, strategy, or data-driven role within financial markets, preferably ...

annotation, data normalisation and filtering techniques.Bioinformatics and pipeline development skills in e.g., KNIME, R or Python.Data handling expertise, database and literature searching.Experience in multivariate statistics and downstream data analysis approaches: differentially abundant metabolite (DAMs) selection, pathway analysis, biochemical data interpretation.Exceptional attention to detail, compliance with best practices and quality assurance ...

Minimum 5 years of experience in a Data Science capacity, with a track record of leading complex projects.A Master's degree (or equivalent) in Statistics, Data Science, or a related quantitative field.Deep understanding of Generative AI and LLMs, particularly for applications in text generation and data synthesis.Advanced knowledge of statistical ...

Good understanding of Consumer Duty and the role customer insight plays in demonstrating good customer outcomes Educated to a degree standard, ideally in applied statistics/operational research/management science. Insatiable curiosity with natural desire to relate to the commercial agenda of the business and to changes going ...

clients use Python, R or similar tools in research and data-engineering workflows. A bachelor’s degree or equivalent professional experience in economics, finance, statistics, mathematics, computer science, business or a related discipline. Python proficiency is valuable but is not the principal requirement for this leadership role. The candidate should ...

technical trade‐offs, risks and progress clearly to both technical and non‐technical stakeholders. Knowledge, Experience and Qualifications Essential Degree in Computer Science, Mathematics, Statistics, Physics, Engineering or another relevant STEM discipline, or equivalent practical experience. 5+ year work experience in relevant field. Strong software engineering capability in Python, including ...

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 ...

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 ...

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 ...

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 ...

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 ...

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 ...

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 ...