26 to 50 of 86 Applied Mathematics Jobs in London

address business problems with appropriate statistical and machine learning models3+ years of experience as a data scientist, quantitative researcher, quantitative analyst or another relevant roleDegree in Applied Mathematics, Computer Science, Financial Engineering, Technology or EngineeringKnowledge of probability theory, inferential statistics, machine learning, Bayesian statistics, linear algebra, and numerical methodsExperience with statistical and machine learning models, such as More ❯

and collaboration skills, with the ability to interact effectively with both technical teams and business stakeholders. Bachelor's degree in machine learning, computer science, data science, applied mathematics, or a related field (Master's or higher is strongly preferred). What Would Make You Stand Out: A track record of successfully leading project initiatives and shaping technical More ❯

Bedrock, S3, SageMaker; Azure AI Search, OpenAI, blob storage, etc. • Bachelor’s degree (master’s or higher strongly preferred) in machine learning, computer science, data science, applied mathematics or related technical field What Would Make You Stand Out: Experience developing/integrating functionality for/in Document Management Systems and content management systems Experience supporting prototyping teams 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 ❯

and collaboration skills, with the ability to interact effectively with both technical teams and business stakeholders. Bachelor’s degree in machine learning, computer science, data science, applied mathematics, or a related field (Master’s or higher is strongly preferred). What Would Make You Stand Out: A track record of successfully leading project initiatives and shaping technical 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 … and solutions 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 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 ❯

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 ❯

department, and senior leadership in 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 bank. Essential Skills: Proven experience More ❯

prop) Strong understanding of European equities market microstructure Background in quantitative modelling, data analysis, or algorithm design MSc or PhD in a relevant field: Computer Science, Applied Mathematics, Statistics, or similar Desirable Experience: Experience with low-latency systems, high-frequency trading (HFT) or execution consultancy Exposure to Python for prototyping and data analytics Familiarity with distributed systems More ❯

department, and senior leadership in 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 bank. Proven experience in designing More ❯

record in Linux-based development Experience with DevOps functions (e.g. Google Cloud, Airflow, InfluxDB, Grafana) Degree (Masters or PhD preferred) in Computer Science, Physics, Engineering, Statistics, Applied Mathematics, or related technical field, from a top-tier university Knowledge of machine learning and statistical techniques and related libraries Experience as a quantitative developer supporting an intraday (or faster 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 ❯

attention to detail Incentives & Compensation Collaborate with Sales Operations leads to design and execute end to end sales compensation and incentive strategies Your Expertise Degree in Applied Mathematics, Marketing, Finance, Statistics, Computational Sciences or similar field 8+ years working experience in similar role in a fast moving business environment, preferred tech, consulting, or banking Strong proficiency with More ❯

applied maths approaches as you solve problems for online self-directed learners. What you’ll need: Proven track record in software development with machine learning and computational mathematics in research-focused environments 5+ years of professional software engineering experience with strong Python expertise Experience building innovative products from concept to deployment (e.g., working as a research engineer … large language model workflows Strong capability to break down strategic business goals into executable technical plans with clear deliverables An advanced degree in Computer Science, Physics, Applied Mathematics, Electronic Engineering, or a related quantitative field #J-18808-Ljbffr 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 … based architecture Frontend: Typescript, React, Bun for package management (monorepo again), Tailwind CSS, Shadcn Infra: GCP, k8s Requirements 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 Benefits Reasonable London salary Employee options scheme (EMI) Office-based team Access to all Grasps learning tools for your personal self-study Dinner/Breakfast More ❯

culture and help non-data people get excited about what’s possible. What You Bring A Master’s degree in a relevant field (e.g., Data Science, Applied Mathematics, Engineering, etc.). 2+ years of commercial data science or analytics experience (post-study). Proficiency in Python (pandas, numpy) and SQL . Strong experience building dashboards using Power More ❯

culture and help non-data people get excited about what’s possible. What You Bring A Master’s degree in a relevant field (e.g., Data Science, Applied Mathematics, Engineering, etc.). 2+ years of commercial data science or analytics experience (post-study). Proficiency in Python (pandas, numpy) and SQL . Strong experience building dashboards using Power More ❯

working on sophisticated Python-based software tools and libraries in a fast changing environment Masters or PhD degree in a quantitative subject such as Computer Science, Applied Mathematics, Statistics, or related fields from a top ranked university Demonstrate excellent communication, analytical and quantitative skills Preferred Experience 2+ years of experience with cash equities strategies doing alpha research More ❯

new techniques, mentoring team members, and leading initiatives to enhance decision-making capabilities. Qualifications Qualifications: Advanced degree (Master’s or Ph.D.) in Industrial Engineering, Operations Research, Applied Mathematics, or related fields. Deep expertise in optimization modelling, algorithm design, and simulation techniques with proven experience implementing practical solutions. Demonstrated ability to translate mathematical concepts into business insights and More ❯

Computer Science, relevant technical field, or equivalent practical experience. Degree must be completed prior to joining Meta. Research background in machine learning, artificial intelligence, computational statistics, applied mathematics, or related areas. Research publications reflecting experience in theoretical or empirical research. Experience in developing and debugging in Python or similar programming languages. Experience in analyzing and collecting data More ❯

trade-offs with hardware designers. Excellent data-visualisation and communication skills: able to turn millions of simulation samples into one decisive slide. Bachelor’s+ in EE, CS, Physics, Applied Maths or related; advanced degree preferred but not required. Personal or open-source projects in simulators, ML kernels, or performance analysis are a significant plus. Competitive salary and stock More ❯

in the successful implementation and evolution of technology products in close coordination with product managers and colleagues. Education and expertise Bachelor's degree in Computer Science, Applied Mathematics, Engineering, or a related discipline, or equivalent experience. Strong software development experience React, Typescript/js (ES6) Node.js (express) Experience with SQL relational databases such as Postgresql Demonstrable experience More ❯