1 to 25 of 43 Permanent Applied Mathematics Jobs in London

techniques and mathematical foundations. Working knowledge of Pymc, cloud data science frameworks, and Azure preferred. Deep expertise in areas like Optimization, Applied Mathematics, or Simulation. Educational qualifications: MS or PhD in Data Science, Computer Science, Applied Mathematics, Statistics, or related fields with modelling and More ❯

development practices to develop effective business solutions based on the business needs. Required Skills Education & Experience: Master's or higher degree in Computer Science, Mathematics, Applied Mathematics, Statistics/Data Science, or related Quantitative experience. Significant working experience in process automation, data analysis, and/or More ❯

company develop; Working autonomously and pragmatically to make appropriate technical decisions. ABOUT YOU EXPERIENCE & QUALIFICATIONS Master's student in computer science, applied mathematics, statistics or meteorological studies; Ideally a previous experience (long-term internship) in data science or climate modeling SKILLS Proficient in statistics, applied mathematics and machine learning methods; Capable of building high-performance algorithms; Proficiency in Python (e.g. scikit-learn); Fluency in English (written and verbal communication) required; Good command of one additional language (e.g. Chinese, French, Italian, German, Spanish ) is valued. MINDSET Interested in weather and natural perils modeling More ❯

should possess prior experience of IRB models (as a developer or validator), with a degree in a quantitative analytical discipline (2.1 or higher), e.g. mathematics, applied mathematics, physics, statistics, engineering, econometrics, and a high level of competence in SAS or SQL programming - an equivalent level in More ❯

design, prototyping, and development role, with a high degree of individual contribution. The systems you build will involve machine learning, generative AI, and applied maths (e.g. graph algorithm) approaches as you solve problems for online self-directed learners. As an individual contributor, you will be expected to lead … React, Bun, Turborepo for package management (monorepo), Tailwind CSS, Shadcn Infra: GCP, k8s Extensive work experience involving programming, machine learning, and applied mathematics for R&D projects. 8+ years programming and software engineering in industry , including several years working with Python. Previous involvement designing new products (e.g. … components. Ability to translate high-level strategic objectives into technical roadmap with regular milestones. An advanced degree in Computer Science, Physics, Applied Mathematics, Electronic Engineering, or similar. Reasonable London salary Employee options scheme (EMI) Office-based team Access to all Grasps learning tools for your personal self More ❯

and familiar with R programming for MMM Models Have in depth understanding of statistical modelling/ML techniques Experience with Regression based models applied to the context of MMM modelling Solid experience with Probabilistic Programming and Bayesian Methods Be an expert in mining large & very complex data sets … and toolkits. Working knowledge of Azure is preferred Have a deep knowledge of a sufficiently broad area of technical specialism (Optimisation, Applied Mathematics, Simulation More ❯

and familiar with R programming for MMM Models Have in depth understanding of statistical modelling/ML techniques Experience with Regression based models applied to the context of MMM modelling Solid experience with Probabilistic Programming and Bayesian Methods Be an expert in mining large & very complex data sets … and toolkits. Working knowledge of Azure is preferred Have a deep knowledge of a sufficiently broad area of technical specialism (Optimisation, Applied Mathematics, Simulation More ❯

and familiar with R programming for MMM Models Have in depth understanding of statistical modelling/ML techniques Experience with Regression based models applied to the context of MMM modelling Solid experience with Probabilistic Programming and Bayesian Methods Be an expert in mining large & very complex data sets … and toolkits. Working knowledge of Azure is preferred Have a deep knowledge of a sufficiently broad area of technical specialism (Optimisation, Applied Mathematics, Simulation More ❯

a part of this mission you are crucial to our future, and we are committed to supporting yours as well. Skills and Competencies: Applied experience collecting, processing, and using data to solve a problem or answer a question. Working knowledge of a computer programming language (examples include SQL … R/tidyverse, Python, Microsoft Excel, Julia, and Fortran) with an adaptability and willingness to learn new languages/software as required. Strong applied analytical, mathematical and/or statistical foundation. Driven and committed, demonstrating self-motivation as well as strong team working skills. Critical thinking, problem-solving … s or PhD degree with a background in Climate Science, Meteorology, Hydrology, Geophysics, Earth Sciences, Geology, Natural Resources, Geographic Information Systems, Applied Mathematics, Statistics, Engineering, or similar. About the Graduate Program: As a graduate, you will establish a diverse and relevant career foundation-gaining insights into our More ❯

a clear and effective manner. Preferred Qualifications Postgraduate degree (MS or PhD) in a quantitative field of study including: Economics, statistics, applied mathematics, data science, business or a related discipline is beneficial. Excellent written, verbal, presentation and communication skills. Self-motivated and proactive with proven creative, problem More ❯

proprietary MMM tools (e.g. Robyn, Meridian ). Strong data visualisation skills (Power BI, Tableau, Looker Studio). Background in econometrics, statistics, applied mathematics, or a similar quantitative field. Please apply More ❯

AI search, Azure OpenAI, Azure blob storage etc. Master's degree or above in Machine learning/data science, computer science, applied mathematics or otherwise research-based field. What Would Make You Stand Out: Passionate about the power of data and predictive analytics to drive better business More ❯

with cloud platforms (AWS, GCP) and containerized ML deployment (e.g., Docker, Kubernetes). PhD or Master’s in AI, Machine Learning, Applied Mathematics, Computer Science, or related field. What We Offer Strategic leadership role with direct influence on trading innovation. Collaborative, high-performance environment at the intersection More ❯

with cloud platforms (AWS, GCP) and containerized ML deployment (e.g., Docker, Kubernetes). PhD or Master’s in AI, Machine Learning, Applied Mathematics, Computer Science, or related field. What We Offer Strategic leadership role with direct influence on trading innovation. Collaborative, high-performance environment at the intersection More ❯

with cloud platforms (AWS, GCP) and containerized ML deployment (e.g., Docker, Kubernetes). PhD or Master’s in AI, Machine Learning, Applied Mathematics, Computer Science, or related field. What We Offer Strategic leadership role with direct influence on trading innovation. Collaborative, high-performance environment at the intersection More ❯

sales and trading. Clearly articulate complex technical issues and requirements to all stakeholders. Qualifications: PhD or Master's in Quantitative Finance, Applied Mathematics, Operations Research, Statistics, Computer Science, or a related field. Minimum 8 years of experience in a front office development role at a major investment More ❯

sales and trading. Clearly articulate complex technical issues and requirements to all stakeholders. Qualifications: PhD or Master's in Quantitative Finance, Applied Mathematics, Operations Research, Statistics, Computer Science, or a related field. Minimum 8 years of experience in a front office development role at a major investment More ❯

sales and trading. Clearly articulate complex technical issues and requirements to all stakeholders. Qualifications: PhD or Master's in Quantitative Finance, Applied Mathematics, Operations Research, Statistics, Computer Science, or a related field. Minimum 8 years of experience in a front office development role at a major investment More ❯

sales and trading. Clearly articulate complex technical issues and requirements to all stakeholders. Qualifications: PhD or Master's in Quantitative Finance, Applied Mathematics, Operations Research, Statistics, Computer Science, or a related field. Minimum 8 years of experience in a front office development role at a major investment More ❯

mathematical optimization, numerical methods for partial differential equations (PDEs), and computational geometry. This role offers the opportunity to work at the intersection of advanced mathematics, engineering, and technology in a rapidly growing company. Key Responsibilities: Develop and refine mathematical models and algorithms to address complex engineering challenges, particularly those … customer needs. Innovate beyond existing literature, developing creative approaches to solve unique real-world engineering problems. Essential Skills & Experience Ph.D. in Applied Mathematics, Physics, Engineering, or a closely related field. Research level experiencein numerical methods for PDEs, mathematical modelling or PDE-constrained optimization. Hands-on experience in More ❯

one scripting language (Python, Matlab, R), with a strong preference for Python. Master's degree (or equivalent) in Economics, Finance, Statistics, Applied Mathematics, Computer Science, or a related STEM field. PhD research experience/publications in relevant fields are a plus. Strong problem-solving skills with an More ❯

remains at the forefront of industry standards. Qualifications: Master’s degree or higher in a quantitative discipline such as Financial Engineering, Applied Mathematics, Statistics, Physics, or Computer Science. At least 3 years of relevant experience in risk management or quantitative research, ideally within a trading or investment More ❯

remains at the forefront of industry standards. Qualifications: Master’s degree or higher in a quantitative discipline such as Financial Engineering, Applied Mathematics, Statistics, Physics, or Computer Science. At least 3 years of relevant experience in risk management or quantitative research, ideally within a trading or investment More ❯

remains at the forefront of industry standards. Qualifications: Master’s degree or higher in a quantitative discipline such as Financial Engineering, Applied Mathematics, Statistics, Physics, or Computer Science. At least 3 years of relevant experience in risk management or quantitative research, ideally within a trading or investment More ❯

remains at the forefront of industry standards. Qualifications: Master’s degree or higher in a quantitative discipline such as Financial Engineering, Applied Mathematics, Statistics, Physics, or Computer Science. At least 3 years of relevant experience in risk management or quantitative research, ideally within a trading or investment More ❯