1 to 25 of 33 Permanent Applied Mathematics Jobs in London

familiar with R programming for MMM Models Have in depth understanding of statistical modelling/ML techniques Strong 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) MS or PhD degree in Data Science, Computer science, applied mathematics, statistics, or another relevant discipline with a strong foundation More ❯

familiar with R programming for MMM Models Have in depth understanding of statistical modelling/ML techniques Strong 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) MS or PhD degree in Data Science, Computer science, applied mathematics, statistics, or another relevant discipline with a strong foundation More ❯

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 ❯

you ever wondered how Amazon delivers timely and reliably hundreds of millions of packages to customer's doorsteps? Are you passionate about data and mathematics, and hope to impact the experience of millions of customers? Are you obsessed with designing simple algorithmic solutions to very challenging problems? If so … key member of the central Research Science Team of logistic operations, these persons will be responsible for designing algorithmic solutions based on data and mathematics for optimizing the end-to-end Amazon supply chain network. The job is opened in the EU Headquarters in Luxembourg (alternatively: Barcelona, Berlin or … London), designed to maximize interaction with the team and stakeholders. Basic qualifications PhD in Operations Research, Machine Learning, Statistics, Applied Mathematics, Computer Science or other field related to algorithms and data (or equivalent experience). Excellent written and verbal communication skills. Experience with some programming language (Java 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 ❯

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 ❯

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 ❯

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 ❯

values: invest in every relationship, lead with curiosity, champion diverse perspectives, turn inputs into actions, and uphold trust through integrity. Skills and Competencies Applied experience collecting, processing, and using data to solve a problem or answer a question is required as successful candidates will be drawing upon this … s/undergraduate degree is required, preferably in Climate Science, Meteorology, Hydrology, Geophysics, Earth Sciences, Geology, Natural Resources, Geographic Information Systems, Applied Mathematics, Statistics, Engineering or a similar discipline. A Master's or PhD degree is desirable. Responsibilities Work closely with our team and colleagues in Model 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 ❯

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 ❯

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 ❯

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 ❯

Professor, Associate Professor, Full Professor, and Chair Professor. Research disciplines at YITech include but are not limited to: Science: Theoretical and applied mathematics, statistics and data science, physics, chemistry, and life science. Engineering: Mechanics and aerospace engineering, robotics, mechanical engineering, advanced materials, chemical and energy engineering, biomedical … integrated circuits, computing, artificial intelligence, software engineering, automation control, and information and communication engineering. Business: Financial engineering, financial technology, digital transformation management, and applied economics. We provides globally competitive salaries and generous start-up funds, commensurate with qualifications and experiences. The start-up package includes stable research funding More ❯

Professor, Associate Professor, Full Professor, and Chair Professor. Research disciplines at YITech include but are not limited to: Science: Theoretical and applied mathematics, statistics and data science, physics, chemistry, and life science. Engineering: Mechanics and aerospace engineering, robotics, mechanical engineering, advanced materials, chemical and energy engineering, biomedical … integrated circuits, computing, artificial intelligence, software engineering, automation control, and information and communication engineering. Business: Financial engineering, financial technology, digital transformation management, and applied economics. We provides globally competitive salaries and generous start-up funds, commensurate with qualifications and experiences. The start-up package includes stable research funding More ❯

Professor, Associate Professor, Full Professor, and Chair Professor. Research disciplines at YITech include but are not limited to: Science: Theoretical and applied mathematics, statistics and data science, physics, chemistry, and life science. Engineering: Mechanics and aerospace engineering, robotics, mechanical engineering, advanced materials, chemical and energy engineering, biomedical … integrated circuits, computing, artificial intelligence, software engineering, automation control, and information and communication engineering. Business: Financial engineering, financial technology, digital transformation management, and applied economics. We provides globally competitive salaries and generous start-up funds, commensurate with qualifications and experiences. The start-up package includes stable research funding 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 ❯

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 ❯

role operating at the intersection of technology, business and transformation. Our solutions bring together multiple domains in artificial intelligence, optimisation science, applied mathematics, software engineering and user product development, often solving complex problems that have never been solved before and apply the latest thinking in academic research. More ❯

team led by a highly successful Systematic Macro PM. Requirements: ✅Advanced degree in a quantitative discipline (e.g. Computer Science, Financial Engineering, Applied Mathematics, Statistics) from a high ranking University ✅Python proficiency ✅Machine learning experience is preferred ✅Experience developing FX or Futures strategies. ✅Ability to work in a More ❯