1 to 25 of 45 Permanent Applied Mathematics Jobs in England

an expert in PyMc, Python 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 using SQL and Spark Have … cloud-based data science frameworks 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 foundation in modelling and computer science is More ❯

Senior/Lead Applied Data Scientist - Causal AI for Demand Forecasting Location: Offsite, London, United Kingdom Area of Interest Job Type Professional AI or Artificial Intelligence Job Id Location: Offsite, London, United Kingdom Area of Interest Engineer - Software Job Type Professional Technology Interest AI or Artificial Intelligence Job Id New Meet the Team The post-pandemic years have … values of the next generation of Cisco data scientists. Minimum Qualifications 6+ years of Advanced Analytics experience with a Masters Degree or 4+ years with a PhD in a Mathematics or Applied Mathematics, Operations Research, Economics, Econometrics, Physics, Computer Science, Engineering, or related quantitative field. Strong foundation in AI and machine learning, with a theoretical and More ❯

drive meaningful outcomes while maintaining a bias toward simplicity and speed. What you'll need to succeed: A masters or PhD in Operations Research, Computer Science, Applied Mathematics, Machine Learning, Statistics or related algorithmic fields Proven experience developing optimisation or machine learning solutions in fast-paced logistics marketplaces or top-tier management consulting firms focused on logistics More ❯

implementing preventive measures. Maintain documentation and knowledge repositories to support operational continuity and onboarding. Profile Master's or Bachelor's degree in Computer Science, Data Engineering, Applied Mathematics, or a related technical field. 8+ years of experience in data engineering, with at least 3 years in a senior or lead role. Proven experience in the energy trading More ❯

challenge the status quo. You will be responsible to build and productionize Machine Learning models across asset classes, apply advanced techniques in Machine Learning, statistics, and applied mathematics using Python (PyTorch or similar) and work hands-on with cloud platforms like AWS SageMaker to scale solutions fast. Essential Skills: Master's degree in a Science, Technology, Engineering … and Mathematics (STEM) field (PhD preferred). A proven record of a strong foundation in Machine Learning, data science, and software engineering. Demonstrated success and passion for crafting solutions that are both technically rigorous and operationally effective. Champions a collaborative mindset and a drive to learn, iterate, and improve. Publications or open-source contributions? Even better-we value original More ❯

s various financial products as they relate to the analysis, tracking, and reporting of various risk metrics. This role often possesses an advanced degree in physic, applied mathematics, statistics/probability or another heavy quantitative discipline. Quantitative analytic staff is focused on and responsible for the development of the theory and mathematics behind various models. May … colleagues You will have excellent communication skills (oral and written), planning, project management, networking and influencing skills. Skills that will help (optional): Advanced degree in physics, applied mathematics, statistics/probability, or another heavy quantitative discipline. Experience in Financial Crimes related to Sanctions or AML Compliance. Proficiency in SQL, Python, R and/or SAS. Broad experience More ❯

be considered for this Lead Data Scientist role you will need to have: - A Masters or PhD in a relevant discipline such as Computer Science, Statistics, Applied Mathematics, or Engineering - Strong experience with Python and R - A strong understanding of a number of the tools across the Hadoop ecosystem such as Spark, Hive, Impala & Pig - An expertise More ❯

infrastructure, including input systems and engineering pipelines, to debug user issues Required Qualifications: A degree in a quantitative discipline: statistics, operations research, computer science, informatics, engineering, applied mathematics, economics, etc. At least 8+ years of experience in an analytics or data-oriented role Prior experience supporting at the executive level across GTM, sales strategy, sales/marketing More ❯

STEP Science and Tech Have 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, we look forward to hearing … or Research) Scientists. As a 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/python/C++) Research experience in one or more: Combinatorial optimization problems (e.g., scheduling More ❯

as both you and the 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 More ❯

working knowledge on AWS and GCP data solutions. Good understanding of deploying AI solutions in Azure Open AI,GCP and AWS platforms. 2 to 4 years' experience in applied data science role or equivalent; ideally in a CPG, Retail. Experience in SAP MDG/S4 HANA is a big plus. Working knowledge of data visualisation tools such as … architects to develop technical architectures for F&N enterprise projects and initiatives. Learn about machine learning, data science, computer vision, artificial intelligence, statistics, and/or applied mathematics What can you expect from Mars? Work with diverse and talented Associates, all guided by the Five Principles. Join a purpose driven company, where we're striving to build More ❯

doctoral research experience. Qualifications Applicants must have completed a BS/MS degree before the appointment in a data science field, which may include computer science, applied mathematics, econometrics, operations research, or a related field. They must demonstrate capabilities for writing code (Python or R), basic knowledge in mathematical modelling, and prior experience using libraries in statistics More ❯

with a data-first approach Project Management - Experience with planning and leading projects end-to-end What you will bring: Bachelor's degree in business, finance, applied mathematics or related field preferred 2-5 years professional experience, with at least 2 years at non-agency environment In-depth knowledge of Paid Search Marketing Ability to conceptualize business More ❯

disciplinary team of machine learning experts, experimentalists, fabrication experts, software developers, and computer scientists. Qualifications and Education Requirements Master's degree in Physics, Photonics, Electrical Engineering, Applied Mathematics, Computer Science, or equivalent. The ideal candidate is deeply interested and enthusiastic to perform research in the emerging field of optical and neuromorphic computing, specifically from the holistic point More ❯

Functional Collaboration: Contribute to cross-asset initiatives and research projects, working alongside peers from other quantitative functions across the platform. Requirements & Qualifications Degree in a quantitative field such as Mathematics, Statistics, Engineering, Physics, or Computer Science (advanced degree such as a Master’s or PhD preferred). Proven experience developing financial models in Python and bringing code into production … the underlying mechanics of asset-backed financing, with direct exposure to SRT transactions and other ABS instruments (highly preferred). Deep familiarity with statistical methods and applied mathematics in a financial context. Exposure to cloud platforms (e.g., AWS) and experience managing large datasets through modern data infrastructure. Ability to work through complex problems independently and collaboratively, with More ❯

Functional Collaboration: Contribute to cross-asset initiatives and research projects, working alongside peers from other quantitative functions across the platform. Requirements & Qualifications Degree in a quantitative field such as Mathematics, Statistics, Engineering, Physics, or Computer Science (advanced degree such as a Master’s or PhD preferred). Proven experience developing financial models in Python and bringing code into production … the underlying mechanics of asset-backed financing, with direct exposure to SRT transactions and other ABS instruments (highly preferred). Deep familiarity with statistical methods and applied mathematics in a financial context. Exposure to cloud platforms (e.g., AWS) and experience managing large datasets through modern data infrastructure. Ability to work through complex problems independently and collaboratively, with More ❯

larger Advanced Technology division , known for pioneering next-generation AI/ML capabilities for high-trust domains such as defence, space, and cyber. What You'll Do Lead applied research in AI/ML, with a focus on sequential data and complex decision-making Develop novel algorithms and prototypes in Python using frameworks such as PyTorch, TensorFlow, and … Translate academic thinking into robust, real-world solutions Author technical publications and contribute to patents where appropriate What You'll Bring PhD or equivalent experience in machine learning, applied maths, or related discipline Deep understanding of ML/AI applied to time-series/sensor data or decision systems Strong software prototyping skills, especially in Python More ❯

Strong proficiency in Python; Java is a bonus Track record of rigorous, creative research with impact Preferred Academic Background: PhD or strong Master’s in Statistics, Applied Mathematics, Physics, Computer Science, or another quantitative discipline Demonstrated ability to apply advanced statistical methods to real-world datasets Location: London-based, in office 5-days a week. This is More ❯

Strong proficiency in Python; Java is a bonus Track record of rigorous, creative research with impact Preferred Academic Background: PhD or strong Master’s in Statistics, Applied Mathematics, Physics, Computer Science, or another quantitative discipline Demonstrated ability to apply advanced statistical methods to real-world datasets Location: London-based, in office 5-days a week. This is More ❯

/R Studio. Essential criteria for appointment include: - PhD in a relevant quantitative topic (e.g. epidemiology, biostatistics, health data science, infectious disease modelling, computer science or applied mathematics) - Ability to develop and encourage the commitment to learn in others and to present material to a range of audiences - Ability to provide pastoral assistance to students - Highly advanced More ❯

Grasp This is a system 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 projects and take initiative when … events-based architecture Frontend: Typescript, 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. research engineer embedded in a … systems involving LLM pipelines as 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-study Dinner/Breakfast Statutory More ❯

larger Advanced Technology division , known for pioneering next-generation AI/ML capabilities for high-trust domains such as defence, space, and cyber. What You'll Do Lead applied research in AI/ML, with a focus on sequential data and complex decision-making Develop novel algorithms and prototypes in Python using frameworks such as PyTorch, TensorFlow, and … Translate academic thinking into robust, real-world solutions Author technical publications and contribute to patents where appropriate What You'll Bring PhD or equivalent experience in machine learning, applied maths, or related discipline Deep understanding of ML/AI applied to time-series/sensor data or decision systems Strong software prototyping skills, especially in Python More ❯

complex engineering problems, focusing on 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 involved in multi-physics simulation … customer success engineers to understand 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 developing and implementing numerical algorithms More ❯

Experience: Proficiency in at least 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 analytical and abstract reasoning mindset. More ❯

modelling, and contribute to publishing these results in top rated venues. You will possess a PhD or an equivalent qualification in Statistics or Computer Science or Applied Mathematics (or you will shortly be obtaining it). You should have a strong background in one or more of the following areas: Bayesian inference, spatial statistics, probabilistic machine learning. More ❯