1 to 25 of 84 DemandTrendPermanent Mathematics Jobs in the North of England

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 ❯

practical application. Mentor and guide junior ML engineers, sharing best practices and reviewing their work. Present technical findings, progress, and recommendations to stakeholders and leadership. MSc in Computer Science, Mathematics, or a similar technical discipline; advanced certifications are a bonus. Proficiency in Python and C++ with a proven track record of delivering robust, scalable ML systems. Professional experience as a More ❯

of 5 years proven experience in an analytics role Previous experience in the betting and gaming industry is a significant plus Technical skills Degree in a relevant field, e.g. Mathematics, Physics, Statistics, Engineering, or Computer Science Proficiency in a statistical programming language, e.g. R or Python Proficiency with data visualization and reporting tools, e.g. Tableau or PowerBI Strong proficiency in More ❯

with visualisation tools like Power BI or Tableau. Excellent interpersonal skills and ability to work cross-functionally. Nice to haves: Degree in a quantitative field (e.g. Data Science, Applied Mathematics, Statistics). Experience with machine learning in academic or commercial settings. Strong grasp of probability, statistical significance, and regression analysis. SQL proficiency and experience with cloud-based data platforms. Location More ❯

in the software development field and M-RAS and proactively explore their implementation within the company Qualifications, skills and experience: A degree in Software Engineering, Computer Science, Physics or Maths with a grade of at least a 2:1 or an equivalent qualification and experience. Proven experience in relevant industry that will complement and enhance RAS development Experience with Linux 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 ❯

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 ❯

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 ❯

must have completed a Level 3 Software Development Apprenticeship with QA or have an equivalent qualification with another training provider OR an A-level in Science, Technology, Engineering or Mathematics (STEM) subject and a successful completion of our aptitude test OR a BTEC Diploma in IT and a successful completion of our aptitude test OR 2 years’ experience in a More ❯

mindset - people who enjoy getting things done the right way, without compromising on quality or security. All candidates must have a 2:1 or above in Computer Science, Engineering, Mathematics, Physics, or a related field from a leading UK university. We're particularly interested in graduates from top-tier institutions , including Russell Group universities such as Oxford, Cambridge, Imperial, UCL More ❯

and reporting support as needed. Forecasting : Assist in developing forecasting models to predict future trends and provide insights to support strategic planning. Candidate profile. Education : Bachelor’s degree in Maths, Finance, Business, or a related field. Experience : Minimum of 2 years’ experience in data analysis and reporting. Technical Skills : Proficiency in data analysis tools such as SQL, Excel, along with More ❯

and information security regulations (including GDPR) - Supporting SHEQ improvement projects and risk mitigation strategies with data-driven insights What are we looking for? Essential: - A degree in computer science, mathematics, statistics, or a related discipline - Proficiency in Python, R, SQL and data visualisation software (e.g. Power BI) - Experience with data collection, cleaning and management practices - The ability to interpret complex More ❯

hands-on, eager to take ownership, and thrives in a collaborative and quality-driven team. All applicants must hold a 2:1 or above degree in Computer Science, Engineering, Mathematics, Physics, or a related field from a top-tier UK university. We strongly encourage applications from graduates of Russell Group universities , such as Oxford, Cambridge, Imperial, UCL, Warwick, Manchester, Edinburgh More ❯

ideas. What we're looking for in you: The successful candidate will be able to demonstrate the following: An accomplished Electronics Design Engineer with a strong background in physics, mathematics or similar, ideally with a solid understanding of RF circuit design. Understanding of mechanical design achieved through development work and transferring products to production stage. Experience of working on and More ❯

All staff are expected to adapt to meet operational needs and take on additional or relinquish duties as required. Qualifications Essential Minimum GCSE grade 4-9 (A-C) including Maths & English or equivalent At least 12 months experience in an administration role IT skills Intermediate/Advanced (MS Word, Excel, Outlook) Literacy and numeracy skills Current valid UK driving licence More ❯

physics problems and evaluate their outputs Evaluate the quality produced by AI models for correctness and performance Qualifications: Fluency in English (native or bilingual level) Detail-oriented Proficient in mathematics, inductive/deductive reasoning, physical/temporal/spatial reasoning A current, in progress, or completed Masters and/or PhD is preferred but not required Note: Payment is made More ❯

scope, design, develop, and deploy our products. What we are looking for Predicted 2:1 or above at degree level A AA at A Level with an A in Maths Additional job details Location: Leeds Depending on experience Contract, dates, and working times: Full-time How to apply Click Apply to start your application now. This job will be available More ❯

be proficient in using MS tools, in particular Excel, SharePoint, Teams and PowerPoint. Desirable Criteria: To succeed in this role, the following experience would be an advantage: IT and mathematics - You can demonstrate IT and mathematical skills through relevant qualifications or work experience. Analysis and synthesis - You have an understanding of, or experience of using, data modelling tools and techniques More ❯

Deliver projects to agreed timescales, maintaining regular communication with customers. Evaluate and test new technologies (including Azure-based solutions). What We're Looking For Qualifications: GCSE English and Maths (or equivalent) at grade C or above (required) Degree in a relevant subject (preferred) Microsoft Certified (Associate/Professional), MCSA, Linux LPIC-1 (all advantageous) Experience: Background in field-based More ❯

and organisational skills Customer care skills Team player Able to work on own initiative Entry requirements: 3 GCSEs (or equivalent) at grades 4+ (A-C) in any subject GCSE Maths and English (or equivalents) at grades 3+ (D or above) Prospective apprentices must not hold an existing qualification at the same or higher level as this apprenticeship is in a More ❯

Test activities As a domain expert, you will share your knowledge across project teams and peers. The ideal candidate would ideally have: • Ideally degree qualified or equivalent experience in Mathematics, Physics or Engineering • Experience and awareness of Development and Production Test Techniques and implementation • Proficient in Microsoft Office Suite with strong communication skills The ideal candidate must have: • Knowledge of More ❯

role responsibilities. Skills, Qualifications and Experience To be successful in this role, you will need to: Degree Current and valid industry specialism Certificate of education or PGCE English and maths minimum level 2 Grace C or grade 4 and above Proven track record of effective teaching in delivering in subject specialism or current valid industry specialism Minimum of 3 years More ❯

and influence stakeholders effectively within a multicultural ecosystem, Ability to manage complexity and make decisions with limited information or under uncertainty, Bachelor's degree in computer science, Computer Engineering, Mathematics or similar or have equivalent experience, You must be able to communicate effectively in English (ie CEFR C1). Desirable skills and experience: Spanish or Swedish language skills If you More ❯