151 to 175 of 279 Statistics Jobs in London

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 ...

working with semantic models, knowledge graphs, entity resolution, metadata governance, or AI‐ready data initiatives. Academic or professional background in computer science, data engineering, statistics, economics, operations research, or a related technical discipline. You’ll be successful in this role if you: Improve the velocity and variety of content that ...

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 ...

empower the Localization product with data-driven insights. You will partner with cross-functional teams to understand user behavior, run experiments, and apply statistics to improve engagement and bookings. You will develop production ML/NLP models, design end-to-end data pipelines, and mentor peers while collaborating with Product ...

support for the Localization product within Content Product Analytics. You will partner with cross-functional teams to understand user behavior, design experiments, and apply statistics and causal inference to drive product decisions. The role involves building scalable data pipelines, mentoring teammates, and safely integrating AI/ML solutions at production ...

processes are ready. During market - sporadically monitoring behaviour and performance of strategies. Ideal Candidate: Quantitative background - including Master/PhD's in Mathematics, Statistics, Econometrics, Financial Engineering, Operations Research, Computer Science and Physics from a top University. Programming proficiency with at least one major programming or scripting language (Python, C++ ...

technology teams to make effective use of shared internal platforms and Services Qualifications Master’s or PhD/Post doctorate in Computer Science, Mathematics, Statistics, Engineering, Physics, or a related quantitative discipline, from a leading institution Preferred Technical Skills 3+ years of professional experience in software engineering, quantitative development ...

NeurIPS, ICML and ICLR. Contribute to publication efforts where appropriate and consistent with intellectual property considerations. Skills & Experience PhD in Machine Learning, Computer Science, Statistics, Mathematics, Physics or a related quantitative discipline. Outstanding academic credentials and a strong publication record in leading research venues. Current or recent experience ...

working shoulder to shoulder with growth engineers. Deep instinct for acquisition, activation, retention, and expansion, and what actually moves them. Strong SQL, Python, applied statistics, and heavy experimentation (A/B and growth tests) in a fast-moving environment. You build the systems and agents that surface growth opportunities proactively ...

NeurIPS, ICML and ICLR. Contribute to publication efforts where appropriate and consistent with intellectual property considerations. Skills & Experience PhD in Machine Learning, Computer Science, Statistics, Mathematics, Physics or a related quantitative discipline. Outstanding academic credentials and a strong publication record in leading research venues. Current or recent experience ...

working shoulder to shoulder with growth engineers. Deep instinct for acquisition, activation, retention, and expansion, and what actually moves them. Strong SQL, Python, applied statistics, and heavy experimentation (A/B and growth tests) in a fast-moving environment. You build the systems and agents that surface growth opportunities proactively ...

high-performance native code systems. Familiarity with cryptographic techniques. Knowledge of compiler architecture, ASTs, lexer design, static analysis etc. Deep data science and applied statistics background. Responsibilities Help build a first-party Google Cloud product, the Google Cloud Universal Ledger (GCUL), implementing critical functionalities to address key customer concerns ...

monitoring. Required qualification, capabilities, and skills Advanced degree in a quantitative field (or Bachelor's with relevant experience). Strong understanding of probability/statistics and derivatives pricing; demonstrated ability to develop new quantitative approaches. Strong programming in Python and/or C++. Clear communicator with strong ownership, problem-solving ...