226 to 250 of 404 Statistics Jobs in England

projects. Communicate technical decisions, risks and concerns clearly to non-technical audiences. Knowledge, Experience and Qualifications Essential • PhD or MSc in Computer Science, Mathematics, Statistics, Engineering, Physics or another relevant STEM discipline, or equivalent practical experience. • Extensive years of experience in machine learning engineering, software engineering, or a related technical ...

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 ...

data into insights that drive strategic decisions. The role blends data engineering and analytics, with a focus on building robust pipelines, applying advanced statistics, and delivering strategic reporting. #J-18808-Ljbffr ...

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++ ...

Senior Analyst £60,000–£70,000 Manchester (Hybrid – 3x Days a Week in Office) If you're passionate about product analytics, experimentation, and using statistics to shape the experience of millions of users, this is an opportunity to join one of the UK's leading digital product teams! The Company ...

Product Analyst £60,000-£70,000 Manchester (Hybrid - 3x Days a Week in Office) If you're passionate about product analytics, experimentation, and using statistics to shape the experience of millions of users, this is an opportunity to join one of the UK's leading digital product teams! The Company ...

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 ...

engineer to create scalable processes and systems for internal and external applications, data infrastructure and integration with 3rd party services/systems.• Utilise probability, statistics, numerical methods and mathematical optimizations to enhance the product offering and enable the creation of new RiskTech products.Passionate about pioneering RiskTech and leveraging big data ...

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 ...

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 ...

transformation of energy markets and infrastructure Desirable attributes: Hands‐on experience building LLM‐based systems Experience testing non‐deterministic systems Understanding of statistics and inferential methods LangGraph, RAG, MCP, MLOps, IaaC, AWS What we offer Private Medical Insurance Dental Insurance Parental Support Salary‐Exchange Pension Employee Assistance Programme (EAP) Local ...

researchers Preferred Qualifications Hands‐on experience working with deep learning toolkits such as JAX, PyTorch or MLX Strong mathematical skills in differential calculus, probability, statistics Strong coding skills, as exemplified by e.g. OSS contributions, and ability to maintain a coherent and evolving codebase Ability to work as a team player ...

applied to solve business problems. About you. Ability to develop, code, test, correct and document programmes or scripts. Excellent working knowledge of applied maths, statistics, and scientific practices with broad knowledge of how and when to practically apply existing best practice solutions. Good ability to work with Data Engineers ...

applied to solve business problems. About you. Ability to develop, code, test, correct and document programmes or scripts. Excellent working knowledge of applied maths, statistics, and scientific practices with broad knowledge of how and when to practically apply existing best practice solutions. Good ability to work with Data Engineers ...

understand systematic strategies and to research and build new risk models and tools MSc (or higher) in a highly quantitative discipline (e.g. Mathematics, Statistics, Physics) Minimum 2 years’ experience in a quantitative and/or risk‐focused role within buy‐side, sell‐side or financial services Knowledge of financial markets ...