1 to 25 of 845 Mathematics Jobs in the UK excluding London

business users to build reliable, scalable, and secure systems that underpin critical business applications. All applicants must hold a 2:1 or higher degree in Computer Science, Engineering, Physics, Mathematics, or a related field from a top-tier UK university. We particularly welcome candidates from Russell Group institutions , such as Oxford, Cambridge, Imperial, UCL, Manchester, Edinburgh, Warwick, Bristol , and similar. More ❯

value demonstration. Person Specification: To excel as a Principal Data Scientist, you will typically possess: 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, and production-grade data science solutions. A More ❯

and non-experts, customers. Our Data Science projects vary from site to site, specific project details will be provided at the interview stage Qualifications/Requirements Currently studying a Maths, Physics, Physical/Engineering Sciences, Data Science, Statistics/Computer Science, or Mechanical/Aeronautical Engineering Bachelor's or integrated Master's degree. Other degree subjects may also apply. On More ❯

AAAI, ACL, IEEE TPAMI, IEEE TNNLS, IJCV, and JMLR. Skills and Qualifications Pursuing or completed PhD in ML/AI, Computer Science/Engineering, or related disciplines. Proficiency in mathematics (calculus, probability, statistics, linear algebra, optimization) and computer science (algorithms, data structures, parallel/distributed computing). Strong fundamentals in Machine Learning, Computer Vision, and Deep Learning. Hands-on experience More ❯

across the business, with a focus on end-to-end machine learning solutions. Experience - Lead Data Scientist You will have: An M.Sc. or Ph.D. in: Machine Learning, Statistics, Applied Mathematics, Computer Science, Engineering, etc. Experience using Python is a must Knowledge of cloud technologies important (agnostic) A strong knowledge of statistical/machine learning models applied to real-world problems More ❯

house platforms. Champion/challenger testing methodology experience. Experience Required: Extensive experience working with decision systems platforms (FICO systems, Provenir, SDS/PowerCurve, etc.). Education Required: STEM degree (Mathematics, Statistics, Computer Science, Engineering) or equivalent experience. Additional Information This role is INSIDE IR35 More ❯

Familiarity with Agile development methodologies (XP, SCRUM, Kanban) and continuous integration practises. Previous experience in UI design, optimisation, and development processes. A solid degree in Computer Science, Physics, Engineering, Mathematics, or a relevant analytical field. Deep understanding of algorithms, data structures, and design patterns. Excellent communication skills and a strong team player mentality. Knowledge of derivatives and options products, ideally More ❯

verification, and validation. Excellent communication skills with the ability to lead, mentor, and inspire a team. UK Nationality with eligibility for DV or SC Security Clearance. Degree in Engineering, Mathematics, Computer Science, or related field (or equivalent experience). The position can be a Senior Software Engineer or Software Team Lead to play a pivotal role in architectural design and More ❯

observability, and maintainability in ML model development. Turn complex technical challenges into clear business outcomes for colleagues and customers. Requirements: MSc or PhD Degree in Computer Science, Artificial Intelligence, Mathematics, Statistics or related fields. 3+ years of experience in a Data Science, Data Analysis, or related role Strong hands-on experience with Python and SQL Excellent communication skills and stakeholder More ❯

observability, and maintainability in ML model development. Turn complex technical challenges into clear business outcomes for colleagues and customers. Requirements: MSc or PhD Degree in Computer Science, Artificial Intelligence, Mathematics, Statistics or related fields. 3+ years of experience in a Data Science, Data Analysis, or related role Strong hands-on experience with Python and SQL Excellent communication skills and stakeholder More ❯

observability, and maintainability in ML model development. Turn complex technical challenges into clear business outcomes for colleagues and customers. Requirements: MSc or PhD Degree in Computer Science, Artificial Intelligence, Mathematics, Statistics or related fields. 3+ years of experience in a Data Science, Data Analysis, or related role Strong hands-on experience with Python and SQL Excellent communication skills and stakeholder More ❯

clearly to non-technical stakeholders. Help develop tools using SQL, Python, and BI platforms (e.g. Quicksight, Power BI, Tableau). What we’re looking for Essential: A degree in (Maths, Statistics, Economics, Computer Science, Data Science). Strong analytical and problem-solving skills. Proficiency in SQL and Excel . Excellent communication and presentation skills. Attention to detail with a proactive More ❯

Ability to interpret complex datasets, drawing meaningful insights to drive business decisions. Strong communication skills, with experience in managing client relationships. A degree in a relevant field such as Mathematics, Statistics, Economics, Psychology, Sociology, Physics, Engineering, or Computer Science (Master’s or PhD is a plus). Interest or experience in TV viewing data, media, or marketing analytics is beneficial More ❯

technologies (HTML, JavaScript, etc) and Linux systems Strong academic background including a 1st or 2:1 or PhD in a numerate subject and A’s or A*’s in Maths and Physics at A Level Strong communication skills both for client work and for mentoring and leading team members British citizenship and UK residency for at least 10 years Due More ❯

contributing new ideas to internal R&D discussions What We’re Looking For: A recently completed Master’s degree from a Russell Group university in Data Science, Computer Science, Mathematics, Physics, Engineering, or a related discipline Strong programming skills in Python (e.g. NumPy, pandas, scikit-learn, matplotlib); R is also welcome A solid understanding of core machine learning concepts, data More ❯

contributing new ideas to internal R&D discussions What We’re Looking For: A recently completed Master’s degree from a Russell Group university in Data Science, Computer Science, Mathematics, Physics, Engineering, or a related discipline Strong programming skills in Python (e.g. NumPy, pandas, scikit-learn, matplotlib); R is also welcome A solid understanding of core machine learning concepts, data More ❯

contributing new ideas to internal R&D discussions What We’re Looking For: A recently completed Master’s degree from a Russell Group university in Data Science, Computer Science, Mathematics, Physics, Engineering, or a related discipline Strong programming skills in Python (e.g. NumPy, pandas, scikit-learn, matplotlib); R is also welcome A solid understanding of core machine learning concepts, data More ❯

This is a hybrid position with a requirement to attend the office 3 days a week. Qualifications Good degree in a scientific or numerate discipline, e.g. Computer Science, Physics, Mathematics, Engineering or equivalent work experience Experience implementing statistical models and analytics algorithms in software Experience using Python, Java, or another major programming language for data analysis, machine learning or algorithm More ❯

Experience in UI design, optimisation, scalability and reliability. Excellent problem solving and analytical skills in a high-pressure environment. Must possess a solid degree in Computer Science, Physics, Engineering, Mathematics or relevant analytical degree. Strong understanding of algorithms, data structures and design patterns including why and where to use them. Candidate must be a strong team player with excellent communication More ❯

market - checking that all required data and 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++, and R). More ❯

or machine learning techniques Strong programming skills in Python, C++, or similar; experience working with large datasets and research infrastructure Master’s or PhD in a quantitative field (e.g., Mathematics, Computer Science, Physics, Engineering, Statistics) Excellent communication skills and ability to work in a collaborative, performance-driven environment More ❯

or machine learning techniques Strong programming skills in Python, C++, or similar; experience working with large datasets and research infrastructure Master’s or PhD in a quantitative field (e.g., Mathematics, Computer Science, Physics, Engineering, Statistics) Excellent communication skills and ability to work in a collaborative, performance-driven environment More ❯

or machine learning techniques Strong programming skills in Python, C++, or similar; experience working with large datasets and research infrastructure Master’s or PhD in a quantitative field (e.g., Mathematics, Computer Science, Physics, Engineering, Statistics) Excellent communication skills and ability to work in a collaborative, performance-driven environment More ❯

typical Back Office Architecture and Modelling in the Sports Betting Industry. Experience using DevOps tools such as Azure DevOps/Jira. Experience with concurrent development source control (GIT). Mathematics skills such as dealing with matrices, probabilities, and statistics. Experience generating reports, dashboards and data visualisations to explain the results and behaviour of models and analyses. Familiarity with SQL and More ❯

typical Back Office Architecture and Modelling in the Sports Betting Industry. Experience using DevOps tools such as Azure DevOps/Jira. Experience with concurrent development source control (GIT). Mathematics skills such as dealing with matrices, probabilities, and statistics. Experience generating reports, dashboards and data visualisations to explain the results and behaviour of models and analyses. Familiarity with SQL and More ❯