17 of 17 Numerate Degree Jobs in Nottinghamshire

methods such as linear regression, KMM, forecasting models, and experimentation. Strong communication skills with the ability to simplify complex analysis for business audiences. Degree in Mathematics, Statistics, Economics or related quantitative field. Experience working with SageMaker or similar cloud-based ML platforms. Prior experience in subscription or membership More ❯

methods such as linear regression, KMM, forecasting models, and experimentation. Strong communication skills with the ability to simplify complex analysis for business audiences. Degree in Mathematics, Statistics, Economics or related quantitative field. Desirable: Experience working with SageMaker or similar cloud-based ML platforms. Prior experience in subscription or More ❯

methods such as linear regression, KMM, forecasting models, and experimentation. Strong communication skills with the ability to simplify complex analysis for business audiences. Degree in Mathematics, Statistics, Economics or related quantitative field. Desirable: Experience working with SageMaker or similar cloud-based ML platforms. Prior experience in subscription or More ❯

infrastructure Designing and implementing quantitative models Collaborating with engineers, quants, and researchers on complex challenges Learning and growing within a dynamic environment Qualifications: Degree in Mathematics, Computer Science, Physics, Engineering, or related STEM field Proficiency in programming languages such as Python, C++, Java, C#, KDB+/Q, etc. More ❯

processes. What experience you need: We are looking for a candidate with a strong analytical aptitude and a proactive approach: A relevant numerical degree, achieving a 2:1 or higher. Proven experience in programming languages such as Python, SQL, and SAS, ideally applied within a credit risk environment. More ❯

Work closely with internal Sales and Strategy Consulting teams to inform and shape broader opportunities and solutions What experience you need Relevant numerical degree with a 2:1 or above Experience in programming languages Python and SQL in a credit risk environment Experience in the use of credit More ❯

working reality. We have built a representative and welcoming environment, for everyone. Your skills and experience Hold an Engineering/Physics/Maths degree (or are working towards one for interns) Experience with the following technologies is highly desired (required for experienced applicants): Python development, in particular data More ❯

Train junior programmers and staff on best practices and regulatory updates. Support regulatory submissions with data packages and documentation. Key Skills and Requirements: Degree in Statistics, Mathematics, Computer Science, or related field. Proficiency in statistical programming languages such as SAS. Understanding of global regulations and guidelines. Experience with More ❯

with: At least 2 years of commercial game development experience, preferably in UNITY. Proficiency in C#. Knowledge of C++ is a plus. A degree in mathematics, computer science, or a related field. Knowledge of statistical mathematics is desirable. Light and Wonder employs over 550 professionals across the UK More ❯

Understand and analyze reporting requirements. Advise on analytics and data transformation. Design, document, and test data solutions, correcting errors as needed. Candidate Requirements: Degree in Mathematics, Science, Computing, Engineering, or equivalent experience. Expertise in PowerBI, Cognos Analytics, and related tools. Experience working in agile teams and collaborating with More ❯

Write clear documentation to support ongoing software use and development. Contribute to continuous improvement and product innovation. What We're Looking For: A degree in Mathematics, Physics, Engineering, Software or relevant. Strong mathematical and/or geometrical ability. Experience with object-oriented programming (C++, Python, or Matlab). More ❯

and maintain macros, and perform data integrity checks, while ensuring proper documentation and compliance with SOPs. What you will need: A Bachelor’s degree in Statistics, Biostatistics or Computer Sciences + Masters or PH.D in Statistics. 8 years’ experience in clinical trial statistical programming. Excellent knowledge of SAS More ❯

questions related to Math. Evaluating and ranking domain-specific responses generated by AI models. Examples of Desirable Expertise: A Master's or higher degree in Math or a related subject. Experience working as a Math professional. Ability to write clearly about concepts related to Math in fluent English. More ❯

but not essential: Experience using cloud platforms such as GIT, SageMaker or Data Bricks. KNOWLEDGE: What You know Academic Qualifications: Degree in numerate/statistical subject, or equivalent experience in a related field. Technical Qualifications: No formal required however qualifications around Python, R, SQL, Statistics, Data Visualisation More ❯

BI, Tableau, or similar tools. Manage relationships with external lead generation partners. Collaborate with cross-functional teams to deliver data-driven solutions. Requirements: Degree in relevant subject (Data Science, Statistics, Economics or similar degree) (Essential) 3+ years' experience in the Financial Services Industry (Essential) Proficiency in … Essential) Comfortable working in a fast-paced, evolving environment (Essential) Statistical Methods Knowledge (Desirable) Experience using Salesforce and data visualisation tools (Desirable) Profile Degree in relevant subject (Data Science, Statistics, Economics or similar degree) (Essential) 3+ years' experience in the Financial Services Industry (Essential) Proficiency in More ❯

contribute to impactful projects from day one. Ideal Candidate Academic Excellence: Minimum of an A grade in A-Level Mathematics (not equivalent). Degree Requirements: 2:1 or higher in a STEM-related degree (Science, Technology, Engineering, or Mathematics). Eligibility to Work in the UK More ❯

models which combine and summarise data from multiple sources using excel and other reporting tools What are we looking for? Minimum 2:1 degree in Accountancy and Finance, Maths, Economics or a numerical based degree Excellent working knowledge of Microsoft Excel, including pivot tables, VLOOKUP's More ❯