151 to 175 of 289 Statistics Jobs in London

time, meeting up with colleagues in the London office once a week.About you:You're degree educated in a relevant discipline e.g. Mathematics, Statistics, Economics, and have studied to MSc level at a world class university e.g. Russell Group You have data modelling and predictive analysis skillsYou have Python ...

problems, analyse curve, risk and volatility behaviour, and identify opportunities Required qualifications, capabilities, and skills Advanced degree (MSc or PhD) in mathematics, physics, engineering, statistics or a closely related quantitative discipline, with demonstrable strength in advanced mathematics Strong command of stochastic calculus, probability theory, numerical analysis and PDE/Monte ...

LLMs) and orchestration frameworks. Strong Python programming skills, with experience building within modern backend and cloud-native environments. Solid understanding of machine learning fundamentals, statistics, and working with complex datasets to support model development, training, fine‐tuning, and inference. Experience with CI/CD, containerisation, MLOps/LLMOps workflows ...

graduate, with relevant course work, internship, or other applicable experience or knowledge Bachelor's degree in a quantitative or related field such as Mathematics, Statistics, Econometrics, Engineering, Operations Research, Computer Science, Physics, Economics, Finance Strong communication skills with the ability to collaborate with teammates globally Strong sense of urgency with ...

screen and data designs Competent at understanding and extracting data in relational databases for assessment and testing(SQL) Competent a data analysis and basic statistics Competent at understanding JSON data structures and being able to visual data manipulation. Ideally some experience in Machine Learning/Artificial Intelligence and/ ...

statistical aspects (especially these which are used in Credit Risk-Basel modelling): Logistic-Linear Regression, Scorecard development model validation approaches (GINI coefficient KS- statistics) Data sampling Data mining model maintenance frameworks. Excellent analytical skills and a strong attention to detail. A qualification in a degree with relevant analytical/statistical ...

LLMs) and orchestration frameworks.• Strong Python programming skills, with experience building within modern backend and cloud-native environments.• Solid understanding of machine learning fundamentals, statistics, and working with complex datasets to support model development, training, fine-tuning, and inference.• Experience with CI/CD, containerisation, MLOps/LLMOps workflows ...

/CD pipelines Familiarity with Microsoft Purview, Entra ID, DLP, or Insider Risk tools Understanding of ISO 27001, Agile ways of working Knowledge of statistics, data science, or AI/ML applied to cybersecurity Relevant certifications (MS-500, AZ-500, SC-series, Security+, GSOC, CCSK) Perks & Benefits Hybrid/remote ...

/CD pipelines Familiarity with Microsoft Purview, Entra ID, DLP, or Insider Risk tools Understanding of ISO 27001, Agile ways of working Knowledge of statistics, data science, or AI/ML applied to cybersecurity Relevant certifications (MS-500, AZ-500, SC-series, Security+, GSOC, CCSK) Perks & Benefits Hybrid/remote ...

client relationships. Drive innovation in risk governance, compliance, and analytics. Mentor senior leaders and ensure practice growth and excellence.Qualifications -Bachelors - Economics, Bachelors - Finance, Bachelors - Statistics, Masters - Business Administration, Masters - Risk ManagementCertifications -Certified Fraud Examiner (CFE) - ACFEACFE, CISA - ISACA – Information Systems Audit and Control AssociationISACA – Information Systems Audit and Control Association ...

C++ (a plus) Experience with agentic coding tools and AI coding assistants (a plus) Postgraduate degree in a quantitative discipline, such as engineering, statistics, mathematics, physics or similar; PhD preferred About State Street Across the globe, institutional investors rely on us to help them manage risk, respond to challenges ...

years of experience in designing, building and maintaining machine learning models to solve complex, large-scale business problems. Deep understanding of frequentist and Bayesian statistics, plus supervised and unsupervised modelling techniques. Proven experience modelling complex interactions (e.g., cluster or network effects). Expertise in model explainability to tune feature engineering ...

architectural standards. You can navigate trade-offs between model complexity, serving latency, and engineering velocity. Nice to Have PhD or M.S. in Computer Science, Statistics, or a related quantitative field. Experience at a frontier AI lab or high‐growth AI startup. Publications in top‐tier ML conferences (e.g., NeurIPS, ICML ...

knowledge of Amazon Web Services (EC2, S3, Athena, etc.) Interest in back-end technologies, architecture, and passion for learning new things Interest in math, statistics, or adtech technology is a plus Analytical approach to problems and pragmatic approach to solutionsAbility to work independently and enterprisingly in a dynamic environment where ...

computer vision, foundation models, or 3D medical imaging. Deep understanding of machine learning theory and its background, including deep learning, linear algebra, probability theory, statistics and optimisation. Strong Python and PyTorch skills, with the ability to work confidently in model training and inference codebases. Experience developing and evaluating deep learning ...

partners or customers. Experience in either system design or reading code (e.g., Java, C++, or Python). Preferred qualifications: Master’s degree in Business, Statistics, Mathematics, Economics, Engineering or Applied Science, or a related field. 10 years of experience managing projects and working with analytics, software coding, or customer-side ...

working with real-world, noisy datasets. Preferred Qualifications: Advanced degree (Master’s or PhD) in a quantitative field with a focus on machine learning, statistics, or AI, with experience applying research ideas to practical, large-scale problems. Experience designing and operating ML systems at scale, including feature pipelines, model training ...

working with real‐world, noisy datasets. Preferred Qualifications Advanced degree (Master\'s or PhD) in a quantitative field with a focus on machine learning, statistics, or AI, with experience applying research ideas to practical, large‐scale problems. Experience designing and operating ML systems at scale, including feature pipelines, model training ...

translate findings into actionable modeling recommendations. What You'll Bring to the Table A Master's degree or PhD in Data Science, Computer Science, Statistics, or a related quantitative field. Proven, extensive experience in leadership and people management, with a demonstrated ability to mentor, guide, and develop Data Scientists. Prior ...

scientific rigor while guiding them through applied ML and production constraints. Skills & Experience Education: Master’s or Ph.D. degree in Computer Science, Machine Learning, Statistics, or a highly quantitative field. Experience: 5+ years of industry experience developing, validating, and deploying large‐scale ML models in production environments. Algorithmic Expertise: Strong ...

assurance is done as the field matures. This role isn’t for you if... You prefer narrow, well‐scoped analytical problems. The work spans statistics, regulation, HR practice, product, and customer context. You need complete information before acting. Many decisions rely on judgment under uncertainty and evolving guidance. ...

experience delivering applied data science and machine learning in production within banking, capital markets, or similarly regulated, data-intensive environments. + Deep grounding in statistics, machine learning, time-series analysis, and predictive modelling, with experience building models under real operational constraints. + Hands-on ownership of the full model lifecycle ...

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 ...

efficiency of data science solutions, ensuring continuous value demonstration. Person Specification Bachelor’s/Master’s degree in a quantitative field (e.g., Computer Science, Statistics, Mathematics, Physics, Engineering) or equivalent. Extensive professional experience in data science, with a proven track record of technically leading and successfully delivering complex, impactful … Large Language Models (LLMs) and related areas such as Natural Language Processing (NLP) or Computer Vision, relevant to business solutions. Solid understanding of foundational statistics and experimental design. Familiarity with or experience on cloud platforms. Impact and Achievements Pioneer the development and robust deployment of highly impactful machine learning ...

supporting flagship programmes including the World Risk Poll and the Global Safety Evidence Centre. This is a hybrid role combining advanced data analysis, applied statistics, evidence production, and high-quality communication. It plays a central role in strengthening the Foundation’s evidence ‐ led approach to safety. About the Global Safety … working with both exploratory (notebook-based) and production code Experience with data engineering principles and cloud based data architecture Statistical and Analytical Solid applied statistics, including: Hypothesis testing Regression analysis Confidence intervals and effect sizes Experience working with complex survey data, including: Cross-national comparison Ability to develop reproducible, auditable ...