1 to 25 of 120 Applied Mathematics Jobs in the UK

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 ❯

of regression modelling, Bayesian inference, hierarchical models, and MCMC techniques. Proven ability to handle and analyse large, complex datasets using SQL and/or Spark. Solid knowledge of applied statistics, modelling techniques, and the … mathematical underpinnings of inference and simulation. Familiarity with cloud platforms (Azure preferred) and modern data science toolkits. Advanced degree (MSc or PhD) in Statistics, Data Science, Applied Mathematics, Computer Science, or a related quantitative field. Preferred Attributes Strong foundation in optimization, simulation modelling, and decision analytics. Demonstrated ability to translate complex Bayesian models into strategic insights and More ❯

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 … and cloud-based data science frameworks and toolkits. Working knowledge of Azure is Have a deep knowledge of a sufficiently broad area of technical specialism (Optimisation, Applied Mathematics, Simulation) #J-18808-Ljbffr More ❯

cases. Mentor junior team members, conducting advanced training sessions and develop sophisticated tools to enhance how economists works with data. Master’s degree in computer science, applied mathematics, statistics, machine learning, economics, or operations research 4+ years of professional data science experience, with a proven track record of translating business problems into data science solutions Proficiency and More ❯

junior data scientists & apprentices Help building a culture of responsible AI, good governance, and ethics Qualifications & Skills MS or PhD degree in Data Science, Computer science, applied mathematics, statistics, or another relevant discipline with a strong foundation in modelling and computer science. At least 2-5 years of industry experience with developing machine learning models and creating 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 ❯

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 ❯

in the role. Experience working as a Data Scientist, ideally on client-facing analysis or products. Degree (or equivalent) in a quantitative field such as Statistics, Applied Mathematics, Physics, Engineering, Computer Science, or Economics. Proficient using Python and/or R and SQL for the download, cleansing and analysis of data. Proficient in coding and creating insightful 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 ❯

problems with appropriate statistical and machine learning models 3+ years of experience as a data scientist, quantitative researcher, quantitative analyst or another relevant role Degree in Applied Mathematics, Computer Science, Financial Engineering, Technology or Engineering Knowledge of probability theory, inferential statistics, machine learning, Bayesian statistics, linear algebra, and numerical methods Experience with statistical and machine learning models More ❯

which make sure our clients’ needs are met and the best technical solutions are adopted. Skills and experience required: Strong background in data science, computer science, applied mathematics, statistics, or another quantitative field. Experience using foundational Python data science libraries (e.g. pandas, numpy, scikit-learn, ...). Experience with SQL and working with databases like Postgres and More ❯

code optimization. Excellent communication and collaboration skills to interact with technical teams, business partners, and 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 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 ❯

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 ❯

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 ❯

Security Clearance 4+ years in AI/ML engineering or data science roles, preferably in high-growth or research environments. Strong academic background in Machine Learning, Computer Science, Applied Maths, Computational Linguistics, or related fields (MSc/PhD preferred). Experience with computational linguistics is highly desirable. Proficiency in Python and ML libraries such as Hugging Face, PyTorch 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 ❯

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 related fields (MSc/PhD preferred). Exposure to computational linguistics is highly desirable, from both academic research and commercial perspectives. Proficiency in Python and 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 … England, United Kingdom 1 week ago Research Engineer, ML, AI & Computer Vision London, England, United Kingdom 2 weeks ago London, England, United Kingdom 3 months ago Data Scientist (Applied Machine Learning) London, England, United Kingdom 1 month ago London, England, United Kingdom 3 days ago London, England, United Kingdom 2 weeks ago Machine Learning Software Engineer, Research London 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 ❯

code optimization. Excellent communication and collaboration skills to interact with technical teams, business partners, and 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 ❯

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 ❯