1 to 25 of 277 Mathematics Jobs in Yorkshire

or a similar quantitative role within financial services or other regulated industries; or a recent relevant PhD. A numerate degree or equivalent experience, for example in Data Science, Statistics, Mathematics, Computer Science or Physics. Strong analytical and problem-solving skills with the ability to critically evaluate complex AI systems and models. Excellent written and verbal communication skills, with an ability More ❯

as well as backend web development, backend-for-frontend, GraphQL, and FastAPI. Strong communication skills, able to communicate with both technical and commercial people. BSc or a MSc in Mathematics, Physics, Computer Science, or an Engineering discipline (STEM). Desirable knowledge and experience Understanding of or working with AI/ML algorithms and data science. Docker and Kubernetes. Experience with More ❯

as well as backend web development, backend-for-frontend, GraphQL, and FastAPI. Strong communication skills, able to communicate with both technical and commercial people. BSc or a MSc in Mathematics, Physics, Computer Science, or an Engineering discipline (STEM). Desirable knowledge and experience Understanding of or working with AI/ML algorithms and data science. Docker and Kubernetes. Experience with More ❯

as well as backend web development, backend-for-frontend, GraphQL, and FastAPI. Strong communication skills, able to communicate with both technical and commercial people. BSc or a MSc in Mathematics, Physics, Computer Science, or an Engineering discipline (STEM). Desirable knowledge and experience Understanding of or working with AI/ML algorithms and data science. Docker and Kubernetes. Experience with More ❯

as well as backend web development, backend-for-frontend, GraphQL, and FastAPI. Strong communication skills, able to communicate with both technical and commercial people. BSc or a MSc in Mathematics, Physics, Computer Science, or an Engineering discipline (STEM). Desirable knowledge and experience Understanding of or working with AI/ML algorithms and data science. Docker and Kubernetes. Experience with More ❯

for people who can support our ethos. To apply to this post, you will have: Relevant Industry experience with a Bachelor’s or higher degree in Computer Science, Statistics, Mathematics or related disciplines. Ability to analyse data and communicate outcomes to key stakeholders exploring new data sources with excellent coding skills in Python, R, SQL etc. Understanding of cloud services More ❯

details of your employment history, you should highlight your experience in line with the essential criteria below: Evidence of a strong academic background in one of the following, eg - Maths, Data Science, Statistics, Computer Science. Significant experience delivering innovative, data-driven solutions and can apply a range of data science techniques to solve business problems or improve established processes. Proven More ❯

focus on value creation over analysis for its own sake. Demonstrated leadership experience, either through line management or team/project leadership. A degree in a numerate discipline (e.g., Maths, Statistics, Computer Science, Engineering). Why Join Asda? We are a values-led organisation. As such we, encourage everyone to be open and honest. We work creatively and collaboratively, valuing More ❯

Blaizeprovides a full-stack programmable processor architecture suite and low-code/no-code software platform that enables AI processing solutions for high-performance computing at the network’s edge and in the data center. Blaize solutions deliver real-time More ❯

project finished. Qualifications Although you can become a games developer with any degree subject, employers often look for a degree, HND or foundation degree in: computer science games technology mathematics physics software engineering. The role involves a lot of technical expertise and problem solving, so a background in mathematics or physics can be very useful. You will need to be More ❯

analytical and technical ability to ensure the team delivers the highest standards of analysis and reporting to key stake holders What we want from you Numeric based degree i.e. Maths, Economics, Business, Physics etc. Proficient in use of Microsoft Office product suite, particularly Excel i.e. Pivot Tables and V-Lookups Clear, logical analytical approach to problem-solving Ability to investigate More ❯

ensure the team delivers the highest standards of analysis and reporting to key stake holders What we want from you...... Minimum 2:1 within a numeric based degree i.e. Maths, Economics, Business, Psychology, Physics etc. Proficient in use of Microsoft Office product suite, particularly Excel i.e. Pivot Tables and V-Lookups Working knowledge of one or more of the following More ❯

of the latest tracking trends, technologies, and best practices, and share knowledge with the team Qualifications Education: Bachelor's degree in a relevant field (e.g., Marketing, Statistics, Economics, Business, Mathematics, Computer Science) Experience: 2+ years of experience in a digital analytics role, preferably within a marketing agency Stronger candidates will have 5+ years of experience in a client-facing digital More ❯

focus on value creation over analysis for its own sake. Demonstrated leadership experience, either through line management or team/project leadership. A degree in a numerate discipline (e.g., Maths, Statistics, Computer Science, Engineering). Desirable: Experience in a complex, matrixed organisation - retail sector experience is welcome but not required . Experience working with Jira and Confluence in an Agile More ❯

presentations to audiences of varying technical knowledge. Able to communicate effectively with key stakeholders across different levels of the business. Bachelor’s or advanced degree in statistics, industrial engineering, mathematics, economics, computer science, finance, or related field (Preferred) Proficiency in Microsoft Excel, SQL and Powerpoint. Other data visualization or statistical software a plus. Impact You'll Make: What’s In More ❯

Strong python programming skills Experience of TDD (pytest or other testing framework) Our nice to haves Graduate or Postgraduate qualification or equivalent experience in a relevant discipline e.g. engineering, mathematics, physics, statistics Experience of data science in finance, insurance or Ecommerce is an advantage but not required Experience of deployment in a cloud environment Experience with neural networks and Tensor More ❯

high complexity tasks Following core architectural guidance and development best practices What we want from you Minimum 2:1 in Computer Science, other numeric degrees will be considered i.e. Maths, Economics, Physics etc. Clear, logical analytical approach to problem-solving If you are interested in this fantastic opportunity based near Leeds , please apply direct with an updated CV. Apply for More ❯

ensure the team delivers the highest standards of analysis and reporting to key stake holders What we want from you Minimum 2:1 within a numeric based degree i.e. Maths, Economics, Business, Psychology, Physics etc. Proficient in use of Microsoft Office product suite, particularly Excel i.e. Pivot Tables and V-Lookups Working knowledge of one or more of the following More ❯

option structures, and building robust models to drive analytical excellence within our front office. Required Skills and Experience: Advanced degree (PhD or MS) in a quantitative subject such as Mathematics, Physics, Statistics, Computer Science, Engineering, or a related field. Proven experience as a front-office quant within energy commodities trading, with a strong focus on quantitative analysis and modelling. Deep More ❯

of the latest tracking trends, technologies, and best practices, and share knowledge with the team Qualifications Education: Bachelor's degree in a relevant field (e.g., Marketing, Statistics, Economics, Business, Mathematics, Computer Science) Experience: 2+ years of experience in a digital analytics role, preferably within a marketing agency Stronger candidates will have 5+ years of experience in a client-facing digital More ❯

to company IT and security policies when using equipment such as laptops and phones. EDUCATION, EXPERIENCE & RELEVANT SKILLS EDUCATION & QUALIFICATIONS A first degree in a science, technology, engineering, or mathematics (STEM) subject, preferably science or pharmacy, with a 2:1 classification or higher. A research degree in a STEM subject with a significant computational component is desirable but not essential. More ❯

with C++, C#, .NET, SQL, TypeScript, Python or similar. Commercial experience of leading, managing and directing software teams (at least 3 years). Degree educated in Engineering, Computer Science, Mathematics, Physics or related field. Extensive experience with Azure DevOps and working in an Agile development process. Experience in real time embedded system development. Experience of working within the framework of More ❯

skills. Experience with Test-Driven Development (eg, pytest or similar frameworks). Nice-to-Haves Graduate or postgraduate qualification (or equivalent experience) in a relevant field such as engineering, mathematics, physics, or statistics. Experience in data science within financial services, insurance, or E-commerce (not essential). Familiarity with cloud-based deployment. Knowledge of neural networks, TensorFlow, CatBoost, XGBoost, SKlearn More ❯

bugs where appropriate Onboarding new features and changes to the Support Teams Minimum Requirements: Graduate or early in career analyst working with data analytics tools/Excel Degree in Mathematics, Physics, Electronic Engineering or Computer Science (or a similar degree using large and complex data sets) Quick learner with a desire to understand sophisticated systems and software behaviour Genuine passion More ❯

service and building trust Ability to manage multiple projects and priorities effectively in a fast-paced environment Education Qualification in a relevant field (e.g. Web Development, Marketing, Statistics, Business, Mathematics, Computer Science) would be preferable to have but not necessary Seniority level Seniority level Executive Employment type Employment type Full-time Job function Job function Analyst Industries Data Infrastructure and More ❯