1 to 25 of 86 Permanent 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 ❯

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 ❯

an interview for this vacancy, the essential criteria (in order of application process) are: • You must hold a GCSE or Level 2 qualification in Maths at Grade 4/C or above. This will be assessed during application sift. • Demonstrate a strong motivation for applying to work for GCHQ as 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 ❯

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 ❯

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) Proven experience of modelling using WTW toolkit (Emblem and Radar) Proficient at communicating results in a concise manner More ❯

cloud, then you'll fit right in. Able to commute to our central Manchester office 3 days per week. A degree in computer science, mathematics, or a science related subject. A passion for coding, data science, and open source technologies. Ability to write and review production-grade Python. Experience with 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 ❯

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 ❯

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 ❯

/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 ❯

/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 ❯

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 ❯

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 ❯

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 ❯

in technical operations or support focused on cloud infrastructure - Tertiary qualification/Bachelor's Degree in Information Science/Information Technology, Computer Science, Engineering, Mathematics, Physics, or a related field (or 6+ years of relevant work experience) - Candidates that have been most successful after joining our team have demonstrated capabilities More ❯

proposals. Key Skills and Experience: Previous experience in statistical and data science programming languages (e.g. R, Python, PySpark, SAS, SQL). A quantitative degree (Mathematics, Statistics, Engineering, Physics, Computer Science, Actuarial Science). Experience of WTW’s Radar software is preferred, but not essential. Proficient at communicating results in a More ❯

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 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 ❯

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 ❯

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 ❯