151 to 175 of 461 Statistics Jobs in London

experience with data scripting languages (e.g., Python, SQL) 2+ years in a Data Scientist role with proven experience in AI/ML Strong academic background in a quantitative discipline (Statistics, Mathematics, Computer Science, etc.) Experience in data extraction, manipulation, and analysis from multiple sources Proficiency in modern programming practices and collaborative coding Passion for working in fast-paced, high-growth More ❯

experience with data scripting languages (e.g., Python, SQL) 2+ years in a Data Scientist role with proven experience in AI/ML Strong academic background in a quantitative discipline (Statistics, Mathematics, Computer Science, etc.) Experience in data extraction, manipulation, and analysis from multiple sources Proficiency in modern programming practices and collaborative coding Passion for working in fast-paced, high-growth More ❯

experience with data scripting languages (e.g., Python, SQL) 2+ years in a Data Scientist role with proven experience in AI/ML Strong academic background in a quantitative discipline (Statistics, Mathematics, Computer Science, etc.) Experience in data extraction, manipulation, and analysis from multiple sources Proficiency in modern programming practices and collaborative coding Passion for working in fast-paced, high-growth More ❯

new data sources and vendors; Collaborate with engineering and data sourcing teams to vet data vendors, ensure data integrity and quality; Requirements Bachelor's degree or higher in Mathematics, Statistics, Physics, Computer Science, or other STEM related field; Extensive experience working with large, unstructured datasets and ideating unique features; Knowledge of general finance and company fundamentals; 3+ years in a More ❯

everyone You thrive in fast-paced environments, balance detail with big picture thinking, and love seeing your work deliver tangible results What You’ll Bring • Degree in Economics, Mathematics, Statistics, Computer Science, Business, or similar. • 3+ years in analytics, with lending or risk experience,credit card background is a big plus. • Strong SQL skills, plus confidence with Python/R More ❯

everyone You thrive in fast-paced environments, balance detail with big picture thinking, and love seeing your work deliver tangible results What You'll Bring Degree in Economics, Mathematics, Statistics, Computer Science, Business, or similar. 3+ years in analytics, with lending or risk experience,credit card background is a big plus. Strong SQL skills, plus confidence with Python/R More ❯

annotation challenges. Stay updated with industry trends in data annotation, finance, and news. Participate actively in project and product coordination when needed. Qualifications: Bachelor's degree or higher in Statistics, Data Analytics, Data Science, or related STEM fields. At least four years of experience in data management concepts like data quality, sampling, and modeling. Experience with data visualization tools like More ❯

everyone You thrive in fast-paced environments, balance detail with big picture thinking, and love seeing your work deliver tangible results What You’ll Bring • Degree in Economics, Mathematics, Statistics, Computer Science, Business, or similar. • 3+ years in analytics, with lending or risk experience,credit card background is a big plus. • Strong SQL skills, plus confidence with Python/R More ❯

everyone You thrive in fast-paced environments, balance detail with big picture thinking, and love seeing your work deliver tangible results What You’ll Bring • Degree in Economics, Mathematics, Statistics, Computer Science, Business, or similar. • 3+ years in analytics, with lending or risk experience,credit card background is a big plus. • Strong SQL skills, plus confidence with Python/R More ❯

strong modelling solutions Commercially aware, with a good understanding of market trends and the financial impact of modelling decisions A strong academic background (Bachelor’s or Master’s) in Statistics, Mathematics, Economics, Data Science, or a related discipline. Ability to manage multiple projects and stakeholders, prioritising effectively to meet deadlines Desirable: industry experience in sectors such as finance, automotive or More ❯

comprehensive documentation for data models, calculation methodologies, and dashboard functionality to ensure knowledge transfer and sustainability. Knowledge, Skills, Experience & Qualifications : Undergraduate degree in Mathematics, Computer Science, Information Systems, Analytics, Statistics, or related quantitative field, or equivalent professional experience. 3-5 years of progressive experience in data analytics, preferably in HR analytics, workforce planning, or people-focused business intelligence. Advanced proficiency More ❯

architectural decisions and implementation of our market making platforms, both strategically and day to day. Basic Qualifications Excellent academic record in a relevant quantitative field such as physics, mathematics, statistics, engineering or computer science. Strong programming skills in an object oriented or functional paradigm such as C++, Java or Python. Self-starter with strong self-management skills, ability to manage More ❯

cloud-based Knowledge of statistical and data science techniques (e.g., forecasting, regression, clustering) Experience with Data Visualization tools (Tableau preferred, Power BI, Looker) Degree in a numerate subject (Math, Statistics, Economics, etc.) 1-2 years' experience in a data analyst or similar role in a fast-paced environment Who We're Looking For: A commercially driven analyst passionate about business More ❯

using KDB+/q Practical knowledge of volatility trading and market microstructure in equity derivatives Some other highly valued skills may include: Master's or PhD in STEM (math, statistics, or computer science) Machine learning and optimization theory Knowledge of Python & Rust You may be assessed on key critical skills relevant for success in this role, such as risk and More ❯

capable data specialist with a keen eye for accuracy and a strong understanding of the higher or further education landscape. You will bring: Degree-level qualification in data science, statistics, computer science, or a related field – or equivalent experience. Advanced SQL skills, including joins, subqueries, and performance tuning. Experience building and managing reports in Power BI (including DAX and Power More ❯

capable data specialist with a keen eye for accuracy and a strong understanding of the higher or further education landscape. You will bring: Degree-level qualification in data science, statistics, computer science, or a related field – or equivalent experience. Advanced SQL skills, including joins, subqueries, and performance tuning. Experience building and managing reports in Power BI (including DAX and Power More ❯

capable data specialist with a keen eye for accuracy and a strong understanding of the higher or further education landscape. You will bring: Degree-level qualification in data science, statistics, computer science, or a related field – or equivalent experience. Advanced SQL skills, including joins, subqueries, and performance tuning. Experience building and managing reports in Power BI (including DAX and Power More ❯

capable data specialist with a keen eye for accuracy and a strong understanding of the higher or further education landscape. You will bring: Degree-level qualification in data science, statistics, computer science, or a related field – or equivalent experience. Advanced SQL skills, including joins, subqueries, and performance tuning. Experience building and managing reports in Power BI (including DAX and Power More ❯

technical stakeholders with clarity and impact. Support go-to-market efforts with technical insights and customer-facing engagements. SKILLS Advanced degree (PhD or MSc) in Computer Science, Data Science, Statistics, or related field. Experience with AI governance, model explainability, and regulatory compliance. Familiarity with composable banking platforms and financial services data. Experience working in agile, cross-functional teams in a More ❯

stories with data that help drive business decisions What We're Looking For Master's degree or equivalent experience in any of the following fields: machine learning, computer science, statistics, or mathematics 8+ years of work experience in a business environment with an analytics background Very strong programming background and expertise in using SQL Solid understanding of machine learning models More ❯

datasets - Experience with big data technologies such as: Hadoop, Hive, Spark, EMR - Experience operating large data warehouses - Bachelor's/Master's degree in computer science, engineering, analytics, mathematics, statistics, IT or equivalent Amazon is an equal opportunities employer. We believe passionately that employing a diverse workforce is central to our success. We make recruiting decisions based on your experience More ❯

The preferred qualifications are great to have, but are not mandatory. Minimum qualifications: 7+ years industry experience and an advanced degree (PhD or MS) in a quantitative field (e.g. Statistics, Engineering, Sciences, Computer Science, Economics) Excellent communication skills, ideally with a proven track record of working directly with executive-level stakeholders to influence strategy. Expertise in causal inference methods and More ❯

Graphcore to help define, build and test Graphcore's next generation of AI hardware. Candidate Profile Essential: Master's, PhD or equivalent experience in a technical field (e.g., Maths, Statistics, Computer Science, Physics, Chemistry, Biomedical Engineering). Python programming in a modern deep learning framework, e.g. PyTorch or JAX. Familiar with deep learning fundamentals: models, optimisation, evaluation and scaling. Capable More ❯

libraries for data science (e.g. NumPy, Pandas, Scikit-Learn) and familiarity with a deep-learning framework (e.g. TensorFlow, PyTorch, Caffe) A high level of mathematical competence and proficiency in statistics A solid grasp of essentially all of the standard data science techniques, for example, supervised/unsupervised machine learning, model cross validation, Bayesian inference, time-series analysis, simple NLP, effective More ❯

development of analytical products and dashboards with integration of internal and third-party data sources/APIs Contribute to cataloguing and documentation of data Bachelor's degree in mathematics, statistics, computer science or related field 2-5 years experience working in data engineering/analyst and related fields Advanced analytical framework and experience relating data insight with business problems and More ❯