476 to 500 of 1,747 Mathematics Jobs in the UK

packages for some of these model types would be an advantage. Experience in statistical and data science programming languages (e.g. R, Python, PySpark, SAS, SQL) A good quantitative degree (Mathematics, Statistics, Engineering, Physics, Computer Science, Actuarial Science) Experience of WTW’s Radar software is preferred Proficient at communicating results in a concise manner both verbally and written Behaviours: Good communication More ❯

packages for some of these model types would be an advantage. Experience in statistical and data science programming languages (e.g. R, Python, PySpark, SAS, SQL) A good quantitative degree (Mathematics, Statistics, Engineering, Physics, Computer Science, Actuarial Science) Experience of WTW's Radar software is preferred Proficient at communicating results in a concise manner both verbally and written Behaviours: Good communication More ❯

guidance/legislation. Key Skills and Experience: Previous demonstratable Data Science/Analytics Experience ideally within insurance or financial services. Strong academic background in a numerical discipline (eg BSc Mathematics, Computer Science, Data Science). Proficiency in statistical and machine learning techniques (eg logistic regression, clustering, GBMs) and the application of these in a business context. Advanced SQL and experience More ❯

Date Thursday, 21st August 2025 Start Date Thursday, 28th August 2025 Desired Skills Communication skills IT skills Organisation skills Problem solving skills Analytical skills Team working Qualifications 5 including Maths & English GCSE, grade 4 (C) or above (Essential) STEM A Level, grade Level 3 (Desired) Relevant subject BTEC, grade Any (Desired) Software Other, grade Level 3 (Desired) About the Employer More ❯

Attention to detail Organisation skills Customer care skills Problem solving skills Presentation skills Administrative skills Number skills Analytical skills Logical Team working Creative Initiative Non judgemental Patience Qualifications English & Maths GCSE, grade Minimum 4 (Essential) About the Employer RYDAL COMMUNICATIONS LTD Rydal Group was founded in 2008, starting from a home-based location delivering mobile airtime and BT line rental More ❯

guidance/legislation. Key Skills and Experience: Previous demonstratable Data Science/Analytics Experience ideally within insurance or financial services. Strong academic background in a numerical discipline (eg BSc Mathematics, Computer Science, Data Science). Proficiency in statistical and machine learning techniques (eg logistic regression, clustering, GBMs) and the application of these in a business context. Advanced SQL and experience More ❯

packages for some of these model types would be an advantage. Experience in statistical and data science programming languages (e.g. R, Python, PySpark, SAS, SQL) A good quantitative degree (Mathematics, Statistics, Engineering, Physics, Computer Science, Actuarial Science) Experience of WTW's Radar software is preferred Proficient at communicating results in a concise manner both verbally and written Behaviours: Good communication More ❯

packages for some of these model types would be an advantage. Experience in statistical and data science programming languages (e.g. R, Python, PySpark, SAS, SQL) A good quantitative degree (Mathematics, Statistics, Engineering, Physics, Computer Science, Actuarial Science) Experience of WTW's Radar software is preferred Proficient at communicating results in a concise manner both verbally and written Behaviours: Good communication More ❯

with the product, marketing, and engineering teams to turn insights into product features and campaigns. Preferred Qualifications for the Data Scientist: Bachelor’s degree in a quantitative field (e.g., Mathematics, Statistics, Computer Science, Data Science, Engineering, or similar) is required. Master’s degree in a relevant field is a strong plus, especially with hands-on experience in gaming, betting, or More ❯

Experience in the generation of ship or submarine manoeuvring modelling Advanced numeracy and analytical skills A strong understanding of hydrodynamic principles and methods Degree in Naval Architecture, Aeronautical Engineering, Mathematics, Physics or equivalent experience Desirable: Hydrodynamic/aerodynamic design and evaluation experience Physical testing experience Chartered Engineer or working towards/ability to achieve Benefits: As well as a competitive More ❯

Jump Trading Group is committed to world class research. We empower exceptional talents in Mathematics, Physics, and Computer Science to seek scientific boundaries, push through them, and apply cutting edge research to global financial markets. Our culture is unique. Constant innovation requires fearlessness, creativity, intellectual honesty, and a relentless competitive streak. We believe in winning together and unlocking unique individual More ❯

but someone who also focuses on applying best practices, design patterns and principles to develop scalable, maintainable and high-quality code. Experience working within Collections framework Someone who enjoys maths/logic problems and challenges Experience across one or more asset classes such as Equities, FX, Commodities, and Derivatives. Familiarity with Front Office trading systems and a deep understanding of More ❯

priorities. Identify and implement improvements to existing data workflows or analytical approaches. Experience, Skills & Knowledge Demonstrated knowledge and expertise equivalent to advanced education in Data Science, Computer Science, Statistics, Mathematics, or related fields. Proven experience in data science, advanced analytics, or quantitative analysis Strong programming skills in Python or R, with experience in data analysis libraries (pandas, scikit-learn) SQL More ❯

hands 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 More ❯

Experience in the generation of ship or submarine manoeuvring modelling Advanced numeracy and analytical skills A strong understanding of hydrodynamic principles and methods Degree in Naval Architecture, Aeronautical Engineering, Mathematics, Physics or equivalent experience Hydrodynamic/aerodynamic design and evaluation experience Physical testing experience Chartered Engineer or working towards/ability to achieve As well as a competitive pension scheme More ❯

Modal). Experience in fast moving AI, ML or high growth environments, such as startups, research labs, or AI-driven product teams. Bachelors, Masters, or PhD in Computer Science, Mathematics or a related field. Nice to Haves: Experience with LLMs, NLP, or synthetic data generation. Familiarity with Rust or C++ for high performance ML applications. Experience working on search, ranking More ❯

high-quality documentation. Stay up to date with AI and data science innovations, bringing cutting-edge thinking into the business. Experience required A degree in Data Science, Computer Science, Mathematics, or a related field. 5+ years' experience in data science, with proven success delivering end-to-end projects. Proficiency in Python, R, SQL, and machine learning frameworks (e.g., TensorFlow, PyTorch More ❯

back-office IT to accomplish all the tasks of the Risk Valuation group. Qualifications To land this role you will need: Bachelors and Masters' degrees in Financial Engineering/Maths/Computer Science/Finance. Good analytical and problem solving skills. Team player Strong organisational skills with an interest in working in a fast-paced environment, often balancing multiple high More ❯

working practices. What You ll Bring Strong engineering mindset with experience in one or more of: Microsoft .Net, GoLang, Python, C++, Rust. Broad exposure to remote sensing disciplines, including: Mathematics, physics, and geospatial mapping. Working with sensor hardware and electronics. Networking principles, protocols, and services. Application development across embedded, desktop, and web platforms. Video and radar signal processing (e.g., OpenCV More ❯

ensuring compliance and reducing risk 3) improving customer experience, and 4) providing accurate, complete, and timely data. BASIC QUALIFICATIONS - Bachelor's degree in computer science, engineering, commerce, analytics, mathematics, statistics, IT or equivalent. - 5+ years of customer-facing product development and product management experience. - Experience managing technical products or online services. - Experience with feature delivery and tradeoffs of a product. More ❯

and system integration Growth & Ownership: Take on increasing responsibility and help shape our technical direction, incorporating new technologies and proven best practices Qualifications Education: BS in Computer Science, Engineering, Mathematics, or related field with relevant coursework in machine learning/statistics, software engineering principles, and database systems Core Skills: Python, ML frameworks (TensorFlow/PyTorch/scikit-learn), SQL, distributed More ❯

Fluency in English with strong negotiation skills, ability to work well with others globally and influence. BA/BS/MS or international equivalent experience in statistics, computer science, mathematics, life sciences or related field Must have strong programming skills in R/R Shiny. Python is desirable (and SAS optional). Demonstrated knowledge of data visualization , exploratory analysis. Exposure More ❯

and system integration Growth & Ownership: Take on increasing responsibility and help shape our technical direction, incorporating new technologies and proven best practices Qualifications Education: BS in Computer Science, Engineering, Mathematics, or related field with relevant coursework in machine learning/statistics, software engineering principles, and database systems Core Skills: Python, ML frameworks (TensorFlow/PyTorch/scikit-learn), SQL, distributed More ❯

working practices. What You’ll Bring Strong engineering mindset with experience in one or more of: Microsoft .Net, GoLang, Python, C++, Rust. Broad exposure to remote sensing disciplines, including: Mathematics, physics, and geospatial mapping. Working with sensor hardware and electronics. Networking principles, protocols, and services. Application development across embedded, desktop, and web platforms. Video and radar signal processing (e.g., OpenCV More ❯

important XVA functionality that cuts across asset classes. What you will do Create and support analytics for Markets Front Office XVA across multiple asset classes using probability theory, financial mathematics, and numerical techniques. Implement these analytics in C++, also using Python. Support trading desks. Collaborate closely with other MQA teams. Work in partnership with control functions to ensure appropriate governance More ❯