1 to 25 of 82 Mathematics Jobs in Manchester

Knowledge of build systems, Spack, and source code control systems is desirable. ACADEMIC CREDENTIALS: Bachelor's or Master's degree in Computer Science, Engineering, Mathematics, Physics, or an equivalent. More ❯

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 software is preferred Proficient at communicating results in a concise manner both verbally More ❯

have 3+ years of work experience with a bachelor's degree or master's degree in quantitative field (e.g., Statistics, Business Analytics, Data Science, Mathematics, Economics, Engineering or Computer Science) 3+ years of experience in consumer product, digital media or entertainment industries Expertise in SQL, SAS, R, Python or other More ❯

ERP and Supply Chain Planning systems, or other cloud applications. Qualifications Essential Bachelor's degree in Computer Science, Data Science, Engineering, Information Systems, Physics, Maths, or similar; or equivalent work experience. Strong commercial experience with Svelte Kit, or a willingness to learn and strong commercial experience with TypeScript or React. More ❯

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 More ❯

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 More ❯

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 More ❯

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 More ❯

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 More ❯

or marketing analytics. A STEM or financial background. A good fit may have a BSc, MSc, or PhD in one of the following areas: mathematics, statistics, chemistry, physics, economics, or finance. Analytical thinker with an ability for identifying patterns and drawing meaningful insights from data. Should have the ability to More ❯

Qualifications: Certifications like CISM, CISSP, CRISC, ISO 27001 LI/LA, CISA are advantageous. A degree in a science-related topic (some examples are Mathematics, Computer Science, Engineering, Physics or relevant work experience in an operational environment). Proficiency in managing people and building teams, demonstrating the ability to lead More ❯

agile environment. - Present and discuss data pipelines/practices to non-technical stakeholders Requirements: - Bachelor's or Master’s degree in computer science, Engineering, Mathematics, or related field. - Proven experience (5+ years) in developing and deploying data engineering pipelines and products - Strong proficiency in Python - Experienced in Hadoop, Kafka or More ❯

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 software is preferred Proficient at communicating results in a concise manner both verbally More ❯

within the role of a Senior Engineer - Systems Engineering (Integration, Validation & Verification) , you'll ideally have the following: Degree in a STEM subject (Engineering, Maths, Physics, etc.) Proven experience in the systems engineering lifecycle. Strong knowledge of Control & Instrumentation (C&I) systems. Skilled in requirements management, systems integration, and testing. More ❯

career-advancing resources here to help you develop into a better-rounded professional. Minimum Requirements: Bachelor's degree in Information Technology, Computer Science, Engineering, Mathematics, Physics or equivalent industry experience. 1+ years of experience in managing full 3 tier application stacks from the OS up through custom applications Relevant work More ❯

articulate highly complex datasets and analysis concisely. Connect to your skills and professional experience Do you possess the following?: Bachelor's degree in Statistics, Mathematics, Economics, Finance, Business Analytics, Management Information Systems, a Technology-related field, or equivalent education or work-related experience. Experience in information security, in areas such More ❯

Qualifications: Certifications like CISM, CISSP, CRISC, ISO 27001 LI/LA, CISA are advantageous. A degree in a science-related topic (some examples are Mathematics, Computer Science, Engineering, Physics) or relevant significant work experience in an operational environment. Proficiency in managing people and building teams, demonstrating the ability to lead More ❯

skills Presentation skills Administrative skills Number skills Analytical skills Logical Team working Creative Initiative Non judgemental Patience Qualifications English Language GCSE, grade 4+ (Essential) Maths GCSE, grade 4+ (Essential) Any A Level, grade 104 UCAS points (Essential) About the Employer HITACHI RAIL GTS UK LIMITED Hitachi Rail is driving the More ❯

learning pipelines for efficiency, scalability, and reliability, considering both computational and operational constraints. Requirements: - Bachelor's or master's degree in computer science, Engineering, Mathematics, or related field. - Proven experience (5+ years) in developing and deploying machine learning models and algorithms in real-world applications. - Strong proficiency in Python programming More ❯

ecommerce is ideal as you need to understand how they operate and what kind of models need to be produced Proficiency in data mining, mathematics, and statistical analysis Able to articulate key messages and analysis outcomes clearly and concisely with a Pragmatic and analytical mind A strong academic record with More ❯

A team player - we highly regard collaboration. Knowledge or willingness to learn about dealing with big data. Bachelor or advanced degree in computer science, mathematics, or related discipline preferred. Why INRIX? The people and passion . Work with an amazing team that values collaboration and innovation to help solve complex More ❯

experienced peers and through advice to assigned clients. Experience & Qualification: Degree in Accounting, Finance, or relevant critical thinking specialty such as MIS, Computer Science, Mathematics preferred. Relevant years of total work experience. Prior experience in Audit or Risk, preferably focussed on Applications. Additional core skill requirements include understanding and interpretation More ❯

Proven experience developing and maintaining desktop applications. A proactive, collaborative approach to development in a scaling team. A background in Computer Science, Engineering, or Mathematics (degree preferred but not required). A genuine passion for creating high-performance, data-driven software. If youre looking to be part of an ambitious More ❯

API integrations. Ability to lead technical delivery and engage with diverse stakeholders. ?? Qualifications: Degree in a numerate discipline (e.g. Computer Science, Data Science, Engineering, Mathematics) or equivalent experience. ?? Benefits: 28 days annual leave + bank holidays Local government pension scheme Flexi-Time Scheme (accrue up to 18 additional leave days More ❯

/ML engineering or data science roles, ideally within high-growth or research-driven environments. Strong academic background in Machine Learning, Computer Science, Applied Maths, Computational linguistics or a related field (MSc/PhD strongly preferred). Any candidates with exposure to computational linguistics are highly desirable, either from a More ❯