8 of 8 Permanent Numerate Degree Jobs in the Thames Valley

principles, and modern data tools (Airflow, Kafka, Spark, AWS). Experience working with large, complex datasets from structured, high-quality environments — e.g. consulting, finance, or enterprise tech. STEM degree in Mathematics, Physics, Computer Science, Engineering, or a related field. Demonstrates curiosity, attention to detail, and a pragmatic, problem-solving mindset . Enjoys collaborating across technical and non-technical More ❯

support, troubleshooting, and performance tuning Act as a trusted advisor to clients on Power ON strategies and future enhancements Qualifications Preferred Qualifications & Experience: Bachelor’s or Master’s degree in Mathematics, Computer Science, Data Analytics, Business Intelligence, or a related field Experience in Power BI development and business intelligence consulting Experience in the finance industry Microsoft Power BI More ❯

models 🤝 Collaborate closely with top engineers, quants, and researchers on complex problems 🚀 Rapidly learn and develop your skills in a culture that rewards initiative What You’ll Bring 🎓 Degree in Mathematics, Computer Science, Physics, Engineering, or related STEM field 💻 Proficiency in at least one programming language (Python, C++, Java, C#, KDB+/Q, etc.) 🔍 Strong analytical mindset and More ❯

the continuous improvement of the math development process Support existing math models and features Keep up to date with industry practices and developments What you’ll NEED A degree in Mathematics/Statistics, Computer Science or equivalent Excellent problem-solving abilities 2+ years’ experience as a Mathematician in online gaming Use of Excel spreadsheets to design math models More ❯

in a middle office, product control, or risk environment. Exposure to commodities, energy, or financial services. Strong Excel and SQL skills, and confidence handling and analysing data. A degree in Mathematics, Finance, Engineering, or a STEM subject. Why This Role is Exciting You’ll learn directly from senior Product Managers and quants while working on live client projects. More ❯

in a reporting or analytics role focused on performance measurement, reporting automation, and dashboard development. Experience in operations, e-commerce, or service-oriented environments preferred. Education: Bachelor's Degree in an analytical field (math, economics, engineering, statistics, etc.), preferred Masters Degree is a plus Tools: You will have knowledge of key industry tools, SQL, Tableau and More ❯

specification Qualifications Expert knowledge of software and data engineering acquired through a combination of specialist training and relevant study (e.g., computer science, software engineering, mathematics) to Master's degree or equivalent level Extensive experience within a complex and demanding environment Extensive, relevant professional experience may be considered against the requirement for a degree in computer science … or a related discipline (the expectation of professional, technical competence is at least that associated with a degree level education in this subject) Experience Demonstrable experience of collaboration and leadership in data engineering or software development within a healthcare, academic, or commercial environment. Excellent understanding of data engineering processes, models, data structures, and data formats (including JSON, SQL More ❯

Qualifications Essential Expert knowledge of software and data engineering acquired through a combination of specialist training and relevant study (eg computer science, software engineering, mathematics) to Master's degree or equivalent level Extensive experience within a complex and demanding environment Desirable Extensive, relevant professional experience may be considered against the requirement for a degree in computer … science or a related discipline (the expectation of professional, technical competence is at least that associated with a degree level education in this subject) Experience Essential Demonstrable experience of collaboration and leadership in data engineering or software development within a healthcare, academic, or commercial environment. Excellent understanding of data engineering processes, models, data structures, and data formats (including More ❯