201 to 225 of 711 Statistics Jobs in the UK

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 ❯

eg in market making, proprietary, or possibly agency space. Experience with large-scale data analysis beneficial. Excellent Masters degree or PhD in statistical or related discipline or computing eg statistics, stochastic modelling, machine learning or computer science. Interested? Please Apply! Quant Quantitative Developer Java Developer Python Developer Algo Algorithmic Trading Trade Execution Low Latency High Frequency Trading High-frequency trading 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 ❯

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 ❯

engineering and fine-tuning . Experience deploying models via cloud platforms (AWS, GCP) and using Docker , Linux , and edge device optimisation . Additional Requirements Advanced degree in Computer Science , Statistics , Data Science , or a related field. Proven experience building and commercialising machine learning models. Deep knowledge of the ML lifecycle: data annotation, model training, serving, scoring, productionisation, and feedback loops. More ❯

capital requirements for Markets Front Office, including SACCR and Resolution. Leverage a wide variety of mathematical and computer science methods and tools. Develop pricing models using advanced financial mathematics, statistics, probability, and numerical techniques such as Monte Carlo Methods and partial differential equation solvers. Implement solutions primarily using Python and C++ programming languages. Provide direct support and collaborate closely with More ❯

solutions Preferred Knowledge & Skills Bachelors Degree Required, ideally in Information Sciences or Business Studies Excellent knowledge of Microsoft Office, including Excel and PowerPoint. Data analysis skills essential; knowledge of statistics modelling is preferred. Experience with analytics tool such as Tableau, SQL, R, Python or MATLAB is a plus. Client-facing experience is a plus. Hybrid working (2 days in London 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 ❯

solutions. Skilled at translating complex data into clear, compelling insights for non-technical audiences through effective communication and storytelling Education and/or Experience Requirements: Bachelor's Degreein Marketing, Statistics, Mathematics, Computer Science, or Finance. Preferred: Bachelor's Degree inFinance, Mathematics, or Statistics. Master's Degree Preferred 5+ years of experience in marketing or customer analytics. 1+ years in a 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 ❯

solutions. Skilled at translating complex data into clear, compelling insights for non-technical audiences through effective communication and storytelling Education and/or Experience Requirements: Bachelor's Degreein Marketing, Statistics, Mathematics, Computer Science, or Finance. Preferred: Bachelor's Degree inFinance, Mathematics, or Statistics. Master's Degree Preferred 5+ years of experience in marketing or customer analytics. 1+ years in a More ❯

of users quickly and iteratively. Enjoy working in a fast-paced, design-driven, product development cycle. Embody our Culture and Values . Required Qualifications: Degree in Data Science, Mathematics, Statistics, Econometrics, Economics, Operations Research, Computer Science, or related field AND data-science experience (e.g., managing structured and unstructured data, applying statistical techniques and reporting results) OR equivalent experience. Experience in 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 ❯

with data warehousing, process automation, and machine learning tools and techniques. Familiarity with model-driven apps and related technologies (e.g. JavaScript). Knowledge of SQL, Python, R, GIS packages, statistics, and cloud platforms such as Azure or AWS. Strong written and verbal communication skills, with a highly collaborative, customer-focused approach. Quick learner with the ability to adapt to technical More ❯

data quality and availability, and clearly communicate your findings to stakeholders to support strategic decision-making. Valued skills and experience: Education: Bachelor's degree in Data Science, Business Analytics, Statistics, Economics, or a related field. Experience: Demonstrated experience in a data analysis or business intelligence role. Skills: Proficiency in SQL and Excel is essential. You must also have experience with 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 ❯