1 to 25 of 195 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 ❯

The Profession consists of people working within specialist communities of practice. There is a full list of roles on GOV.UK:Capability Framework Detailed job description and main responsibilities Applied maths, statistics and scientific practices: You can apply analytical methods including exploratory data analysis, visualisation and statistical testing to reach accurate conclusions. You can use analytical approaches to interpret 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 ❯

research and operate with a continuous-improvement mindset. Required qualifications, capabilities, and skills: Advanced degree (MS, PhD) in a quantitative field (e.g., Data Science, Computer Science, Applied Mathematics, Statistics, Econometrics) or equivalent experience Extensive relevant experience in data analysis and AI/ML domain In-depth expertise and extensive experience with ML projects, both supervised and unsupervised More ❯

similar role. Experience in manufacturing will be considered a significant asset. Educational Requirements A degree in a relevant field, such as Computer Science, Engineering, Statistics, or Applied Mathematics, is highly recommended. Benefits Company Pension Scheme Free Eye Tests 22 Days Holiday + Bank Holidays Performance Metrics Performance will be primarily measured based on the effectiveness of the … or plan to relocate before starting work (required) Work Location: In person Required Skills Performance Metrics Search Algorithms Data Science Salary Machine Learning Programming Languages Metrics R Statistics Manufacturing Mathematics Programming Computer Science Python SQL Engineering Marketing Business Sales Science Training Seniority level Seniority level Mid-Senior level Employment type Employment type Full-time Job function Job function Engineering More ❯

statistical and machine learning models to solve business problems. At least 3+ years of experience as a data scientist, quantitative researcher, or similar 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 models like regression, tree-based 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 ❯

similar role. Experience in manufacturing will be considered a significant asset. Educational Requirements: A degree in a relevant field, such as Computer Science, Engineering, Statistics, or Applied Mathematics, is highly recommended. Company Pension Scheme Free Eye Tests 22 Days Holiday + Bank Holidays Performance Metrics: Performance will be primarily measured based on the effectiveness of the models … relocate: Ashford: reliably commute or plan to relocate before starting work (required) Required Skills: Performance Metrics Search Algorithms Data Science Salary Machine Learning Programming Languages Metrics R Statistics Manufacturing Mathematics Programming Computer Science Python SQL Engineering Marketing Business Sales Science Training #J-18808-Ljbffr 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 ❯

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 ❯

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 ❯

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 ❯

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 ❯

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 ❯

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 ❯

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 ❯