451 to 475 of 1,754 Mathematics Jobs in the UK

system design and architecture discussions. Contribute to the implementation of newt technologies and tools. Collaborate with team members to deliver high-quality solutions. Degree in a quantitative discipline - Engineering, Mathematics, Physics, Chemistry, Computer Science or related fields (Bachelor's, Master's, PhD). Strong programming skills, preferably with some experience working with Python, C# and/or JavaScript. Knowledge of More ❯

include software coding, interface design, testing and algorithm development. However, this is expected to be within projects applied to structural geology or geoenegineering. Requirements: PhD in Computer Science, Geophysics, Maths or Geology combined with industry or extended academic (ideally doctoral) projects involving structural geology or geoengineering. Excellent C or C++ programming skills including OO design and use of standard libraries More ❯

methodology and construction Document and present research findings, white papers, and model specifications to internal and external stakeholders You'll need to have: Advanced degree in Financial Engineering, Economics, Mathematics, Physics, or a related quantitative discipline 3-10+ years of experience in financial markets, preferably in a research role focused on indices, derivatives, or commodities Strong understanding of pricing More ❯

systems with front-office applications. Stay abreast of regulatory developments and ensure compliance with relevant market risk capital requirements. Qualifications Bachelor's or Master's degree in Computer Science, Mathematics, Finance, or a related field. Strong understanding of market risk principles and methodologies, including econometrics. Proficiency in Python and relevant libraries (Pandas, NumPy, SciPy). Solid understanding of time series More ❯

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 environments More ❯

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 environments More ❯

and making proposals. Manage or mentor one presales consultant Required Qualifications and Skills: BS/BA degree preferably in a quantitative subject such as finance, economics, engineering, computer science, mathematics, physics At least five years of experience in a presales capacity targeting enterprise software solutions to hedge funds, investment managers, and other financial institutions. An understanding of financial products including More ❯

offering the opportunity to work across multiple departments and contribute directly to business-critical processes. About You We are looking for a recent graduate with: A degree in Economics, Mathematics, Statistics or a related discipline Excellent analytical skills with strong attention to detail High IT literacy, particularly with Excel; the ability to quickly learn new systems Strong organisational skills and More ❯

potential 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 More ❯

Design, implement, and maintain scalable retrieval and agentic systems. Implement testing and CI/CD practices for AI system development. Is this you? Bachelor's degree in CS, Engineering, Mathematics, or related field, or equivalent experience. Proficiency in Python programming. 5+ years of experience in software engineering and AI/ML development, including: Experience with production software and systems design. More ❯

exploration of new tool and approaches Share findings and insight effectively using structured narratives and visualisations Requirements: Experience in analytical work, working with primarily quantitative methods Degree in statistics, mathematics, economics or equivalent field Good skills in analytical tools, preferably PowerBI and Excel, SQL, Tableau, Python, R or equivalent Some experience in qualitative approaches including content, thematic and discourse analysis More ❯

coding, interface design, testing and algorithm development. However, this is expected to be within projects applied to structural geology or geoenegineering. Requirements: MSc or PhD in Computer Science, Geophysics, Maths or Geology combined with industry or extended academic (ideally doctoral) projects involving structural geology or geoengineering. Excellent C or C++ programming skills including OO design and use of standard libraries More ❯

growth and impact Champion adoption of best practices in ML operations, experimentation frameworks, and data governance Key Skills Advanced degree (MSc/PhD) in Data Science, Computer Science, Statistics, Mathematics, or a related quantitative field Extensive experience in data science, with proven in leadership roles managing dynamic, multi-disciplinary teams Deep expertise in machine learning techniques, including clustering, Bayesian methods More ❯

k8s 3-5 years programming and software engineering in industry , working with Python. 2+ years researching and developing AI based features. Bachelors degree or higher in Computer Science, Physics, Mathematics, Electronic Engineering, or similar. Reasonable London salary Employee options scheme (EMI) Office-based team Access to all Grasps learning tools for your personal self-study Dinner/Breakfast Statutory pension More ❯

for 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/ More ❯

for 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/ More ❯

executives. Coach and mentor team members. What you'll bring 3-5 years of professional work experience in the analytics domain. An advanced degree in a quantitative field (e.g. mathematics, computer programming, etc.). An ability to think analytically, decompose problem sets, develop hypotheses and recommendations from data analysis. Strong technical skills regarding data analysis, statistics, and programming. Strong working More ❯

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 similar More ❯

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 similar More ❯

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 similar More ❯

or a placement completed during studies. Initially being offered on a 12 month fixed term contract however, opportunities to extend to 24 months may be possible. Degrees such as Mathematics, Statistics, Physics, MORSE, Economics etc are suitable - with a strong numerical and problem solving content. You should have experience delivering business insights and stakeholder engagement. You will be expected to More ❯

partnership with data product analysts and data engineers to communicate performance metrics across services, markets, channels and subscriber types Basic Qualifications Bachelors degree in Data Science, Computer Science, Engineering, Mathematics, Econometrics, Statistics or related field 5+ years of experience in a marketing science/analytics role with understanding of measurement and optimization best practices Coursework or direct experience in applied More ❯

develop junior analysts, supporting both technical and career development. YOUR PROFILE Experience in credit risk and lending strategy (SME or consumer lending preferred). Strong quantitative background (degree in Maths, Engineering, Physics, or similar). Experience building and maintaining predictive credit models. Fluency in Python (Pandas, NumPy, SciPy, Matplotlib) and SQL. Experience with advanced modelling techniques (e.g., Monte Carlo, Bayesian More ❯

effectiveness of the team Collaborate with software developers to maintain or productionize risk tools Required Experience and Skills: Bachelor's Degree in a technical or quantitative field (Financial Engineering, Mathematics, Financial Math, Statistics, Computer Science) 3-5 years of work experience Knowledge of financial markets and financial instruments; exposure to related risk analytics and pricing preferred Previous programming or scripting More ❯

and maintain mapped database Program edit checks for external data Coordinate communication and issues with Data Management regarding database specifications and data transfers Qualifications Bachelor's Degree in Statistics, maths, health informatics, data analytics, computer science,or life sciences field SAS Base Certification required; Experience with CDISC SDTM conversion would be an advantage Excellent analytical, written and oral communication skills More ❯