51 to 75 of 84 Statistics Jobs in London

flows. Proficiency in risk management. Experience in continuous improvement initiatives to enhance the user experience. Working in high-pressured projects to tight timescales. Producing statistics and reports through PowerBI, ServiceNow and MS Products, as required. Maintaining appropriate, accurate and robust templates, processes and documentation. Experience of using ServiceNow ...

execution systems, performance optimization, data pipelines, Linux Remote Status - No Remote Client Willing to Sponsor - Yes Degree - Bachelor's Degree in Computer Science, Mathematics, Statistics, or Operation Research ONLY Relocation Paid - YesRecruit From UK only Other Compensation - Base + BonusA leading systematic investment team is spinning out from a globally ...

Machine Learning lifecycle, including model training, optimization, experimentation, and maintenance. Leverage core SDE computer science skills combined with a strong understanding of statistics and math to analyze algorithmic performance. Requirements Basic Qualifications Experience contributing to the architecture and design (architecture, design patterns, reliability, and scaling) of new and current systems. ...

must hold a PhD or equivalent doctoral degree in a relevant discipline, including but not limited to: Mathematics and Theoretical Foundations Mathematics Applied Mathematics Statistics Mathematical Modeling Artificial Intelligence and Data Sciences Data Science Natural Language Processing (NLP) Knowledge Representation and Reasoning Computer and Information Sciences Computer Science Software Engineering ...

technical integration and migration of new, complex data source systems into our existing data pipelines and model ecosystems Develop and evolve platform reporting statistics/data to monitor ongoing model success Engage key stakeholders to understand needs and requirements Provide guidance on usage and translating needs for changes/ ...

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 ...

roadmaps, translating technical insights, and aligning teams on customer and business impact. Requirements Significant experience in data science, AI/ML, NLP, information retrieval, statistics, or a related quantitative field, or equivalent practical experience. Strong technical expertise across modern data science methods, including machine learning, experimentation, deep learning, generative ...

machine learning techniques to solve real‐world problems? Expedia Group possesses extensive and rich data sets, many of which remain untapped. Your passion for statistics and machine learning can drive significant growth for our business. We are seeking individuals with hands‐on experience in building machine learning models, acquired ...

scaling quantitative models and e-Trading platform components. A strong understanding of Credit Flow e-Trading systems and infrastructure is essential Expertise in statistics and probability theory is vital to design models that accurately interpret complex financial data and market behaviour. A thorough grasp of credit markets , including the dynamics ...

information https://gov.uk/ukhsa/careers Job description Job responsibilities Essential Criteria Bachelors degree or higher with significant analytical content (e.g., statistics, data science, epidemiology, or similar), or at least 6 years of relevant experience in a comparable analytical or health-related field. Proven experience in strategic ...

Global is seeking a Senior Data Scientist to develop machine-learning powered products. This role requires expertise in statistics, Python, and AI technologies to solve complex business problems. Join a dynamic team in a hybrid work environment, leveraging your skills to build production-ready solutions that deliver significant business value. ...

implementing new tools to support research and trading needs Qualifications Bachelor’s in computer science, mathematics, physics, or similar field, with strong familiarity with statistics and quantitative problem-solving Self-sufficient ability to implement statistical ideas in code Strong familiarity with Python and C++ (or equivalent) preferred Interest in financial ...

Strong interpersonal and communication skills with ability to present coherent recommendations based on fact and analysis. Degree-level education required preferably in mathematics or statistics or other quantitative disciplines Excellent ability to assess and interpret business data and ascertain if it is consistent, complete and accurate, and to identify ...

resistance, building adoption across different types of people, and making change persist beyond your direct involvement. Technical background: You have a background in probability, statistics, or a related quantitative field, with hands‐on experience building and overseeing probabilistic ML models on structured commercial or financial data. Production experience: You have ...

probabilistic models for lending decisions, embedding AI across the business, and collaborating with engineering and product teams. Candidates should have a strong background in statistics, experience managing data science teams, and a proven capacity for transforming analytical workflows. This position offers a hybrid work model with a competitive salary range ...

teams. The successful candidate will work closely with various teams to shape strategic decisions and must demonstrate strong leadership and a technical background in statistics and probability. A salary between £120,000 to £170,000 is expected. #J-18808-Ljbffr ...

instabilities. Strong analytical skills: You bring rigorous quantitative chops from working on fields such as scaling laws in LLMs, statistical physics, dynamical systems, applied statistics etc. You’re comfortable building mathematical models of empirical phenomena and know how to extract signal from noisy data. We want to emphasize that people ...

Barb (UK TV audience measurement) and RAJAR (radio audience measurement), to help them understand, plan, and measure consumer behaviour across media. We focus on statistics and data science in media, developing models and methodologies for audience and viewer measurement. Our team of around 50 people operates in a hybrid working … broad knowledge of statistical/mathematical techniques – Ideally possessing the following skills: Education: At least a 2:1 Bachelor's degree in Data Science, Statistics, Mathematics, or a related field. If applying with a predicted grade, any job offer will be subject to achieving this grade. Technical Skills: Competent with ...

Barb (UK TV audience measurement) and RAJAR (radio audience measurement), to help them understand, plan, and measure consumer behaviour across media. We focus on statistics and data science in media, developing models and methodologies for audience and viewer measurement. Our team of around 50 people operates in a hybrid working … broad knowledge of statistical/mathematical techniques Ideally possessing the following skills: Education: At least a 2:1 Bachelor's degree in Data Science, Statistics, Mathematics, or a related field. If applying with a predicted grade, any job offer will be subject to achieving this grade. Technical Skills: Competent with ...

Barb (UK TV audience measurement) and RAJAR (radio audience measurement), to help them understand, plan, and measure consumer behaviour across media. We focus on statistics and data science in media, developing models and methodologies for audience and viewer measurement. Our team of around 50 people operates in a hybrid working … broad knowledge of statistical/mathematical techniques – Ideally possessing the following skills: Education: At least a 2:1 Bachelor's degree in Data Science, Statistics, Mathematics, or a related field. If applying with a predicted grade, any job offer will be subject to achieving this grade. Technical Skills: Competent with ...

across the business, for which research is a key part of their business. Key Responsibilities: Manage a large and complex database of Soft commodity statistics ensuring that production data is up to date and accurate. With focus on exports, imports, trade flows, stocks, local prices/differentials and consumption trends. ...

solutions to complex problems to ensure business needs are met Trouble shoot and solve problems as and when they occur during projects Prepare project statistics and reports to allow monitoring of performance of projects Lead post project evaluations and present the findings as required Support Support all projects ...

version control), CI/CD and/or cloud services experience is beneficial. Excellent interpersonal, relationship building and customer service skills. Strong econometrics and statistics background, experience in asset pricing empirical work. Passionate about financial markets with a curiosity about investing. Leadership and Development Supervisory responsibilities: None. Potential for growth. ...

long-term AI and discovery strategy across Elsevier platforms. Requirements: Master's or PhD in Computer Science, Data Science, Machine Learning, Information Retrieval, Statistics, NLP, or a related quantitative field. Significant experience in Data Science, Machine Learning, Information Retrieval, Search Relevance, Evaluation Systems, or Applied AI. Significant experience leading … balance strategic leadership with pragmatic execution in rapidly evolving AI environments. Preferred qualifications PhD preferred in Computer Science, Machine Learning, NLP, Information Retrieval, Statistics, or related field. Experience leading search, ranking, recommendation, or AI evaluation organizations at scale. Experience building evaluation systems for LLM-powered applications and AI assistants. Familiarity ...

long‐term AI and discovery strategy across Elsevier platforms. Qualifications Master’s or PhD in Computer Science, Data Science, Machine Learning, Information Retrieval, Statistics, NLP or a related quantitative field. 10+ years of experience in Data Science, Machine Learning, Information Retrieval, Search Relevance, Evaluation Systems, or Applied AI. Significant experience … balance strategic leadership with pragmatic execution in rapidly evolving AI environments. Preferred Qualifications PhD preferred in Computer Science, Machine Learning, NLP, Information Retrieval, Statistics, or a related field. Experience leading search, ranking, recommendation, or AI evaluation organisations at scale. Experience building evaluation systems for LLM‐powered applications and AI assistants. ...