1 to 25 of 77 Permanent Numerate Degree Jobs in England

services, such as AWS, or Google Cloud for scalable AI/ML development and deployment and knowledge of data pipelining (e.g. via Airflow) A minimum BA/BSc degree in Statistics, Mathematics, Physics, Computer Science or related quantitative degree. Masters/PhD What's in it for you? A range of flexible working options to dedicate time to More ❯

365. (Desirable) Familiarity with the Power Platform, Python, or other analytics tools. Experience within a compliance or regulatory data environment is beneficial but not essential. Other Skills & Experience: Degree in Mathematics, Statistics, Computer Science, Engineering, or a related field — or equivalent practical experience (minimum 2 years in a data/analytics role). Strong attention to detail and More ❯

365. (Desirable) Familiarity with the Power Platform, Python, or other analytics tools. Experience within a compliance or regulatory data environment is beneficial but not essential. Other Skills & Experience: Degree in Mathematics, Statistics, Computer Science, Engineering, or a related field — or equivalent practical experience (minimum 2 years in a data/analytics role). Strong attention to detail and More ❯

Solid grasp of relational databases, data modelling, and data storage structures. Experience working within a compliance or regulatory data environment is beneficial but not essential. Other Skills & Experience Degree in Mathematics, Statistics, Computer Science, Engineering, or a related field or equivalent practical experience (minimum 2 years in a data/analytics role). Strong attention to detail and More ❯

in the development of analytics models to predict trends and behaviors. Engage in continuous learning to stay abreast of the latest analytics technologies and methodologies. Qualifications: Bachelor's degree in Mathematics, Statistics, Computer Science, or a related field, with a strong academic record. Demonstrated interest in data analysis through coursework, projects, or internships. Proficiency in at least one More ❯

both technical and non-technical stakeholders. You're confident working with stakeholders at all levels up to director-level and thrive in a collaborative environment. Essential Criteria Educational degree in Mathematics, Statistics, Data Science, or a related analytical field is desirable Experience applying statistical techniques and modelling in a commercial setting (such as regression analysis, time series forecasting More ❯

across project work Sourcing and engineering data to support data science activities Ensuring all work is documented, quality assured, and aligned with governance Who we're looking for: Degree in statistics, computer science, data science, or equivalent experience Strong experience handling high volumes of data with excellent attention to detail Knowledge of a wide range of Generative AI More ❯

and batch data pipelines using Kafka and DBT. Familiarity with Docker, Terraform, and Kubernetes for application orchestration and deployment. A strong numerical or technical background, ideally with a degree in mathematics, physics, computer science, engineering, or a related field. Understanding of data science concepts and experience collaborating with data scientists to productionise machine learning models. Active participation in More ❯

feedback on tooling and to build impactful technology Communicate complex concepts to technical and non-technical stakeholders through clear storytelling Required Skills Education: Bachelor's or Master's degree in Statistics, Data Science, Computer Science or related field Experience: Proven experience in ML model lifecycle management Core Competencies : Model lifecycle: You've got hands-on experience with managing More ❯

Data and Biometrics. There is also the opportunity to be involved in projects internally across NPL, focusing on a wide variety of possible metrology applications. Essential experience A degree in Mathematics, Statistics, Computer Science, or relevant science or engineering discipline, with related post doctoral experience and extensive research track record Experience in the field of Biometrics, both research More ❯

business strategies and operations. Collaborate with product and other teams to promote the achievement of business goals. What you'll Need to Succeed Bachelor's or Master's degree in Mathematics, Statistics, Econometrics, Computer Science, or a related field. 1-3 years of data analysis experience with proficiency in SQL and at least one scripting language (e.g., Python More ❯

elevate the Analytics team and help answer the most difficult business challenges. Key requirements Experience in the London or Lloyd's insurance markets is essential Have an Advanced degree in Statistics, Computer Science, Mathematics or a related field or relevant industry industry experience Have knowledge of programming and data manipulation skills such as SQL and Python, and version More ❯

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 ❯

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 ❯

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 ❯

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 ❯

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 ❯

on how DAS can address customer planning and analytical needs. Collect and analyse customer feedback to inform technical priorities and product roadmap refinements. Experience & Knowledge Required Education & Background Degree in Mathematics, Computer Science, Data Science, Engineering, or related field. Proven experience in technical product management, data science, or algorithm-heavy environments. Technical Expertise Strong knowledge of optimisation, statistical 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 ❯

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 ❯

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 ❯

with proven client-facing experience. Strong quantitative and analytical skills, with experience in marketing mix modeling, multi-touch attribution, customer segmentation, or identity/data management platforms. A degree in Statistics, Data Science, Marketing Analytics, or a related field. Excellent communication skills, with the ability to simplify complex data into actionable insights for diverse audiences. Proficiency in Excel More ❯

the ability to simplify complexity Collaborative mindset with a track record of working across diverse teams and stakeholders Experience within the defence sector, particularly submarines Qualifications A relevant degree in Maths, IT, Software, Data Science, Physics, Computing or similar Security Clearance The successful candidate must be able to achieve and maintain Security Check (SC) security clearance for this More ❯

technologies Familiarity with PHP, particularly for contributing to ecommerce plugins Understanding of DevOps practices, including containerisation and CI/CD A strong numerical or technical background, with a degree in maths, physics, computer science, engineering, or relevant industry experience The salary We expect to pay from £60,000–£70,000 for this role. But, we're open-minded More ❯

statistical and computational methods to uncover insights from data. Research and apply new techniques, including AI and machine learning. Prepare clear, concise technical reports and presentations. Skills & Experience: Degree in mathematics or a related scientific discipline. Strong mathematical ability. Programming skills - Rust, Python, and JavaScript are especially valued, but all experience is considered. Solid working knowledge of Microsoft More ❯