1 to 25 of 55 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 ❯

Spark. Strong knowledge of statistical 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 computer science background are highly More ❯

on ad-hoc analytics projects—anything from volatility clustering studies to optimisation of storage dispatch—whenever the desk needs statistical horsepower. REQUIREMENTS: Minimum of a degree in Statistics, Applied Maths, Physics or related field. Minimum of 2 years working in a Data Science related role Proven depth in probability & inference (e.g., Bayesian updating, time-series/state-space More ❯

on ad-hoc analytics projects—anything from volatility clustering studies to optimisation of storage dispatch—whenever the desk needs statistical horsepower. REQUIREMENTS: Minimum of a degree in Statistics, Applied Maths, Physics or related field. Minimum of 2 years working in a Data Science related role Proven depth in probability & inference (e.g., Bayesian updating, time-series/state-space More ❯

ensuring performance, reliability, and governance compliance. Innovation & Research: Stay current on advancements in AI/ML and proactively bring forward new ideas, frameworks, and techniques that can be applied to marketing use cases. Data Strategy: Collaborate with data engineering teams to ensure the availability of clean … structured, and enriched data pipelines required for model training and inference. Required Qualifications Bachelor’s or Master’s degree in Computer Science, Data Science, Machine Learning, Applied Mathematics, or a related field. 4+ years of experience in building and deploying AI/ML models in a business setting, ideally in a regulated or enterprise environment. Demonstrated experience 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 ❯

management skills What You'll Bring Master's Degree or PhD with significant relevant experience providing advanced analytics solutions. The degree should be in computer science, applied mathematics, statistics, machine learning, or a related data centric field. 2 years+ of relevant work experience. Demonstrated deep technical and data science expertise, acute strategic and analytical skills, ability to More ❯

technical methods and results to diverse audiences and partners, enabling informed decision-making. Qualifications PhD degree in a quantitative field like statistics, computer science, artificial intelligence, applied mathematics, electrical engineering, or a related area. Equivalent experience will also be considered. Demonstrated experience in driving research and applying Computer Vision techniques, including Transformers, CNNs, Diffusion, and GANs. Extensive 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 ❯

Clearance 4+ years in AI/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 research academic or More ❯

to make an impact on a global scale, please apply! BASIC QUALIFICATIONS - Master's degree in a highly quantitative field (Industrial Engineering, Operations Research, Machine Learning, Applied Mathematics, Statistics) or equivalent experience. - 2+ years of experience developing quantitative models to solve complex problems. - Expertise in at least one of the following areas: Discrete Event Simulation, Linear Programming … languages - Experienced in handling large data sets using SQL/Python in a business environment. PREFERRED QUALIFICATIONS - PhD/Master's degree in Statistics, Industrial Engineering/Operations Research, Mathematics or Statistics or related quantitative field with 5+ years of work experience. - Experienced in writing academic-styled papers for presenting both the methodologies used and results for data science 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 ❯

Clearance 4+ years in AI/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 research academic or 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 ❯

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 ❯

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 ❯

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 ❯

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 ❯

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 ❯

/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 ❯