76 to 100 of 498 Statistics Jobs in the UK excluding London

perfect) in short sprints. Skills & experience required: Educated to at least degree level in a quantitative subject; Machine Learning, Computer Science, Physics, Chemistry, Mathematics, Statistics, Engineering, Economics etc. Proven experience in leading data science projects across a range of areas required, such as personalisation, pricing, forecasting, GenAI, NLP, classification and More ❯

data collection pre-processing, feature engineering, model selection, training, evaluation, and validation Who You Are: Have a master’s or PhD in Computer Science, Statistics, Physics, Machine Learning or related field. Proven track record of successfully leading Data/Machine Learning teams Experienced in building and deploying a variety of More ❯

and trading. Clearly articulate complex technical issues and requirements to all stakeholders. Qualifications: PhD or Master's in Quantitative Finance, Applied Mathematics, Operations Research, Statistics, Computer Science, or a related field. Minimum 5 years of experience in a front office development role at a major investment bank. Essential Skills: Experience More ❯

skills, with the ability to work effectively in a cross-functional team environment Education: Bachelor's degree in quantitative field like Computer Science, Engineering, Statistics, Mathematics or related field required. Advanced degree is a strong plus More ❯

collaboration and reproducibility. Preferred Skills: Experience with NLP (Natural Language Processing), computer vision, or reinforcement learning. Mathematics & Algorithms: Strong knowledge of linear algebra, probability, statistics, and optimization techniques. Knowledge of MLOps, CI/CD pipelines, and automated testing for machine learning models. Version Control: Familiarity with version control tools such More ❯

in LLMs : Proven experience with Large Language Models (LLMs) and fine-tuning techniques. Education : Master’s or Ph.D. in AI, Data Science, Computer Science, Statistics, or a related field. Programming Proficiency : Strong proficiency in programming languages like Python or R. Preference for candidates with a competitive coding background (e.g., ACM More ❯

well‑tested, version‑controlled code and transparent research notebooks. Qualifications Education: B.S. or M.S. in a quantitative field such as Mathematics, Computer Science, Engineering, Statistics, or Physics. Experience: Minimum 5 years building and deploying profitable algorithmic strategies at a hedge fund, bank, or proprietary trading firm. Programming: Advanced expertise in More ❯

recommendations for actions Evangelise data best practices across the organisation What we are looking for BS/MS qualifications in Econometrics, Macroeconomics, Computer Science, Statistics, Data Science or similar fields Hands-on experience with at least one scripting language e.g. Python, R, MATLAB and relevant statistical packages. Hands-on experience More ❯

of a data science-related body. Key Technical Skills Ability to abstract complex business problems into data, model, and decisioning ecosystems. Advanced knowledge of Statistics and ML techniques. Proficient in a range of programming languages (Python and/or R preferable, SQL, C#, Java). Solid grasp of popular and More ❯

years' experience in quantitative analysis, within a gaming, entertainment, or digital consumer products organization 5+ years' experience managing people, growing skillsets & coaching Degree in Statistics, Mathematics, Economics, related discipline or equivalent work experience Experience Delivering & coaching analytical presentations to large groups & senior management Be product focused, you will be expected More ❯

reporting, service transformation or project delivery, as well as qualifications such as Microsoft PL300 , membership of a relevant organisation, or postgraduate study in analytics, statistics or business intelligence. An understanding of NHS priorities and a passion for using data to improve services for children, young people and families will also More ❯

New York, Palo Alto, Edinburgh, Atlanta and Seattle. The team has several Stanford professors as senior advisors with world-class expertise in machine learning, statistics, optimization and stochastic control. These advisors include AI Labs co-head Stephen Boyd (Samsung Professor of Engineering at Stanford), Emmanuel Candes, Trevor Hastie, and Mykel More ❯

highly proficient with technology, software and can demonstrate quick grasp of programming languages. You have a degree that demonstrates technical ability (e.g., Economics, Mathematics, Statistics, etc.) You can work within an inclusive and diverse team to deliver fresh thinking and innovative solutions. You interact with colleagues and with our clients More ❯

but the company are happy to consider traditional finance backgrounds. Strong education background to at least MSc level in a quantitative subject such as Statistics, Mathematics, Physics, Computer Science or similar Proficiency in one or more of the following: Python, C#, C++, R, MATLAB Data Science knowledge would be advantageous More ❯

infrastructure. Mentor and guide other Data Science team members. Collaborate with a huge variety of stakeholders Requirements An MSc/PhD in Computer Science, Statistics, or a similarly relevant area. Extensive commercial experience building Machine Learning & Data Science models for Recommender Systems, Pricing Elasticity, Forecasting, NLP, Computer Vision models, etc. More ❯

communication skills (from C-Suite to Technical Teams including technical and non-technical audiences) Educated to Degree Level in Computer Science/Maths/Statistics (or related field) Flexible approach towards hybrid working (1-2 days per week onsite) Nice to have: Immediate availability Critical National Infrastructure experience within Engineering More ❯

a week in the office Commercial experience within data analysis (data matching, interpretation, number crunching) with skills in Python or R. Degree in Mathematics, Statistics or related subject Excellent numeracy skills Analytical mindset and ability to come up with solutions SAS or MicroStrategy experience would be a bonus but not More ❯

and maintain analytical tools and dashboards Participate in process improvement initiatives Qualifications 2:1 or above degree in one of the following: Data Science, Statistics, Mathematics, or a related analytical field Strong numerical and analytical abilities Experience with coding languages Valid UK driving license Problem-solving mindset Ability to explain More ❯

love to hear from you. Experience Required: Educated to degree level in a relevant subject such as Computer Science, Machine Learning, Artificial Intelligence, Mathematics, Statistics, Physics, Chemistry, Engineering etc. Strong programming skills with Python, building algorithms and models, and working with large, messy, complex data sets to model optimised process More ❯

and/or academic publications. Required skills: Recent graduate or currently pursuing a Ph.D. in Machine Learning/AI, Computer Science/Engineering, Mathematics, Statistics, or a related field. Strong foundational knowledge in machine learning and artificial intelligence. First-author publications in top-tier ML/AI conferences or journals More ❯

and contribute to the overall growth and development of the team. BASIC QUALIFICATIONS PhD in engineering, technology, computer science, machine learning, robotics, operations research, statistics, mathematics or equivalent quantitative field. Experience with neural deep learning methods and machine learning. Experience in building machine learning models for business applications. Experience in More ❯

trust Ability to manage multiple projects and priorities effectively in a fast-paced environment Education Qualification in a relevant field (e.g. Web Development, Marketing, Statistics, Business, Mathematics, Computer Science) would be preferable to have but not necessary More ❯

scale computing resources to accelerate advances in the state of art. BASIC QUALIFICATIONS - PhD in engineering, technology, computer science, machine learning, robotics, operations research, statistics, mathematics or equivalent quantitative field, or Master's degree - PhD, or Master's degree and 6+ years of applied research experience - 3+ years of building More ❯

teams, including product specialists and sales professionals. Experience with customer research, or enthusiasm to develop these skills. Bachelor's degree in Business, Economics, Finance, Statistics, or related field (or equivalent practical experience) Preferred Qualifications: Experience with pricing in the accounting, payroll, or business software markets. Knowledge of pricing software tools. More ❯

teams, including product specialists and sales professionals. Experience with customer research, or enthusiasm to develop these skills. Bachelor's degree in Business, Economics, Finance, Statistics, or related field (or equivalent practical experience) Preferred Qualifications: Experience with pricing in the accounting, payroll, or business software markets. Knowledge of pricing software tools. More ❯