226 to 250 of 650 Statistics Jobs in London

continuous enhancement of analytical methodologies and automation capabilities within the team.What we’re looking for:Master’s degree or PhD in Mathematics, Statistics, Physics, Engineering, Computer Science, or a related quantitative discipline.Relevant experience (3y minimum) in a quantitative, trading, data science, or analytical role within financial services.Strong analytical and quantitative ...

ways 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 ...

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 ...

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

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 ...

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 ...

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 ...

foster a culture of rigorous learning and experimentationWe'd love to hear from you if you...Have an advanced degree in Computer Science, Mathematics, Statistics or a similar quantitative disciplineAre proficient with Python, including open-source data libraries (e.g Pandas, Numpy, Scikit learn etc.)Have experience productionising machine learning models ...

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 ...

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 ...

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 ...

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 ...

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 ...

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 ...

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 ...