1 to 25 of 240 Remote Mathematics Jobs in England

regulatory compliance requirements (FCA, PRA guidelines) ~ Knowledge of manufacturer finance operations ~ Previous experience transitioning from vendor-managed to in-house platforms ~ Champion/challenger testing methodology experience ~ STEM degree (Mathematics, Statistics, Computer Science, and Engineering) or equivalent experience Key Words: FICO, Credit Lending, Decision Systems, Finance, Credit, Provenir, SDS, Powercurve, Software Engineer, Software Developer, Programmer, Python, SAS, SQL, R, Java More ❯

regulatory compliance requirements (FCA, PRA guidelines) ~ Knowledge of manufacturer finance operations ~ Previous experience transitioning from vendor-managed to in-house platforms ~ Champion/challenger testing methodology experience ~ STEM degree (Mathematics, Statistics, Computer Science, and Engineering) or equivalent experience Key Words: FICO, Credit Lending, Decision Systems, Finance, Credit, Provenir, SDS, Powercurve, Software Engineer, Software Developer, Programmer, Python, SAS, SQL, R, Java More ❯

Data Scientist and the successful candidate must have the right to work in the UK and meet the following criteria: Required Skills & Experience: Bachelor's degree in Computer Science, Mathematics, Statistics, Business Administration or related field Advanced knowledge of SQL Good knowledge of Python, including popular Data Science packages (pandas, matplotlib, seaborn, numpy, sklearn) Familiarity with what is happening under More ❯

accuracy, and performance of all developed analytical tools and mode Qualifications: Bachelor's or Master's degree (preferred) in a quantitative field such as Computer Science, ML, AI, Statistics, Mathematics, or Financial Engineering. Should have hand on experience in quantitative analysis, data science, or machine learning, preferably within the financial services industry and ideally within Equities Prime Finance. Demonstrated experience More ❯

skills are critical. Presentation skills for explaining complex analytics solutions to diverse audiences. Qualifications: Necessary Qualifications include: Bachelor’s degree in a quantitative field (e.g., Computer Science, Engineering, Statistics, Mathematics) or equivalent combination of education and relevant work experience. Master’s degree preferred. Why QBE? At My Best? At QBE, we want our people to feel rewarded and inspired to More ❯

Who are we looking for? We do need you to have the following: A PhD is preferred, but if you have a BSc/MSc in Computer Science, Physics, Mathematics, or other numerate discipline plus a few years of progressive post-graduate industry experience in a relevant technical field, we would be keen to hear from you. Whilst not to More ❯

analytics capabilities. Stay hands-on with modelling and analysis while providing realistic guidance to keep projects focused and achievable. Requirements: MSc or PhD Degree in Computer Science, Artificial Intelligence, Mathematics, Statistics or related fields. Strong coding skills in Python and SQL Strong communication skills, with the ability to work effectively in a fast-paced, collaborative environment. **Please note that this More ❯

analytics capabilities. Stay hands-on with modelling and analysis while providing realistic guidance to keep projects focused and achievable. Requirements: MSc or PhD Degree in Computer Science, Artificial Intelligence, Mathematics, Statistics or related fields. Strong coding skills in Python and SQL Strong communication skills, with the ability to work effectively in a fast-paced, collaborative environment. **Please note that this More ❯

models into production pipelines. Collaborate with stakeholders to define modelling goals and interpret model outcomes in a business context. Requirements: MSc or PhD Degree in Computer Science, Artificial Intelligence, Mathematics, Statistics or related fields. Strong coding skills in Python and SQL Strong communication skills, with the ability to work effectively in a fast-paced, collaborative environment. **Please note that this More ❯

models into production pipelines. Collaborate with stakeholders to define modelling goals and interpret model outcomes in a business context. Requirements: MSc or PhD Degree in Computer Science, Artificial Intelligence, Mathematics, Statistics or related fields. Strong coding skills in Python and SQL Strong communication skills, with the ability to work effectively in a fast-paced, collaborative environment. **Please note that this More ❯

models into production pipelines. Collaborate with stakeholders to define modelling goals and interpret model outcomes in a business context. Requirements: MSc or PhD Degree in Computer Science, Artificial Intelligence, Mathematics, Statistics or related fields. Strong coding skills in Python and SQL Strong communication skills, with the ability to work effectively in a fast-paced, collaborative environment. **Please note that this More ❯

models into production pipelines. Collaborate with stakeholders to define modelling goals and interpret model outcomes in a business context. Requirements: MSc or PhD Degree in Computer Science, Artificial Intelligence, Mathematics, Statistics or related fields. Strong coding skills in Python and SQL Strong communication skills, with the ability to work effectively in a fast-paced, collaborative environment. **Please note that this More ❯

contributing new ideas to internal R&D discussions What We’re Looking For: A recently completed Master’s degree from a Russell Group university in Data Science, Computer Science, Mathematics, Physics, Engineering, or a related discipline Strong programming skills in Python (e.g. NumPy, pandas, scikit-learn, matplotlib); R is also welcome A solid understanding of core machine learning concepts, data More ❯

contributing new ideas to internal R&D discussions What We’re Looking For: A recently completed Master’s degree from a Russell Group university in Data Science, Computer Science, Mathematics, Physics, Engineering, or a related discipline Strong programming skills in Python (e.g. NumPy, pandas, scikit-learn, matplotlib); R is also welcome A solid understanding of core machine learning concepts, data More ❯

and suitability for the role. Successful candidates will be able to demonstrate the following: Qualifications: Essential: Studying towards a degree in a numerate discipline (e.g. engineering, physics, computer science, mathematics etc.). Desirable: Background with control engineering content. Background with some relevance to the aerospace industry. Skills and Experience: Essential: General computer literacy, including MS Office. Written and verbal communication More ❯

large-scale datasets and distributed computing frameworks (e.g., Spark). Strong communication skills and ability to work collaboratively in a team environment. MSc or PhD in Computer Science, Engineering, Mathematics, or a related field. Desirable Skills Experience with generative AI, LLMs, or retrieval-augmented generation (RAG). Exposure to vector databases and semantic search. Knowledge of software engineering best practices More ❯

large-scale datasets and distributed computing frameworks (e.g., Spark). Strong communication skills and ability to work collaboratively in a team environment. MSc or PhD in Computer Science, Engineering, Mathematics, or a related field. Desirable Skills Experience with generative AI, LLMs, or retrieval-augmented generation (RAG). Exposure to vector databases and semantic search. Knowledge of software engineering best practices More ❯

large-scale datasets and distributed computing frameworks (e.g., Spark). Strong communication skills and ability to work collaboratively in a team environment. MSc or PhD in Computer Science, Engineering, Mathematics, or a related field. Desirable Skills Experience with generative AI, LLMs, or retrieval-augmented generation (RAG). Exposure to vector databases and semantic search. Knowledge of software engineering best practices More ❯

common processes and establish playbooks for them Help decide on tooling used during the Data Science project lifecycle Required Skills Education: Bachelor's or Master's degree in Statistics, Mathematics, Actuarial Science, Data Science or related field Experience: At least 5 years proven experience in insurance pricing and applied ML, including leading projects and people, with a particular focus on More ❯

managers, engineers, and other stakeholders to align data science work with broader strategic goals under a “One Team” approach. Requirements: MSc or PhD Degree in Computer Science, Artificial Intelligence, Mathematics, Statistics or related fields. Strong coding skills in Python and SQL Strong communication skills, with the ability to work effectively in a fast-paced, collaborative environment. **Please note that this More ❯

managers, engineers, and other stakeholders to align data science work with broader strategic goals under a “One Team” approach. Requirements: MSc or PhD Degree in Computer Science, Artificial Intelligence, Mathematics, Statistics or related fields. Strong coding skills in Python and SQL Strong communication skills, with the ability to work effectively in a fast-paced, collaborative environment. **Please note that this More ❯

your work to the global research community Who You Are: A PhD holder in ML/AI, Computer Science/Engineering, or a related field. A strong foundation in Mathematics, Machine Learning, NLP, and Deep Learning. Hands-on experience in one or more of these areas: Generative AI, Parameter-efficient Fine-tuning, Model Compression, Foundation Models, Large Language Models (LLMs More ❯

Net GLMs, GAMs, Decision Trees, Random Forests, Neural Nets and Clustering 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 and Emblem software is preferred Proficient at communicating results in a concise manner both verbally and written Behaviours More ❯

to solve unique financial challenges. Commit to continuous learning in financial analytics, tools, and best practices to enhance data analysis capabilities. Qualifications: Bachelor’s degree in Finance, Economics, Statistics, Mathematics, or a related field. Strong foundational knowledge of data analysis, with a keen interest in developing further expertise in the finance sector. Proficiency in Excel is required; familiarity with SQL More ❯

growth and impact Champion adoption of best practices in ML operations, experimentation frameworks, and data governance Key Skills Advanced degree (MSc/PhD) in Data Science, Computer Science, Statistics, Mathematics, or a related quantitative field Extensive experience in data science, with proven in leadership roles managing dynamic, multi-disciplinary teams Deep expertise in machine learning techniques, including clustering, Bayesian methods More ❯