151 to 175 of 345 Statistics Jobs in England

on performance measurement, reporting automation, and dashboard development. Experience in operations, e-commerce, or service-oriented environments preferred. Education: Bachelor's Degree in an analytical field (math, economics, engineering, statistics, etc.), preferred Masters Degree is a plus Tools: You will have knowledge of key industry tools, SQL, Tableau and Excel. Specifically for this role that would include: Advanced SQL: You More ❯

of the data Implementation and operation of systems to enable quantitative research (i.e. large scale computation and serialization frameworks) Requirements :- Master’s or PhD in Computer Science, Physics, Engineering, Statistics, Applied Mathematics, or related technical field appropriate to a computational background Expert in C++ Advanced programming skills in Python Strong Linux-based development Knowledge of machine learning and statistical techniques More ❯

data science techniques to define, address, communicate and improve forecasting of key measures to inform and drive strategic decisions. What you will bring to the role: Your knowledge of statistics, BI infrastructure and analytical methods combined with strong management and communication skills will influence how we create, evolve and embed a data strategy across the organisation You will lead in More ❯

challenges into intelligent, scalable solutions powered by cutting-edge AI tools. The Candidate Key attributes of the suitable Data Scientist include: Strong Data Science Foundations – bring solid grounding in statistics and machine learning, along with strong programming skills – Python preferred. Passion for Cutting-Edge AI – You actively experiment with and apply modern AI technologies such as LLMs, RAGs, co-pilots More ❯

challenges into intelligent, scalable solutions powered by cutting-edge AI tools. The Candidate Key attributes of the suitable Data Scientist include: Strong Data Science Foundations – bring solid grounding in statistics and machine learning, along with strong programming skills – Python preferred. Passion for Cutting-Edge AI – You actively experiment with and apply modern AI technologies such as LLMs, RAGs, co-pilots More ❯

data science techniques to define, address, communicate and improve forecasting of key measures to inform and drive strategic decisions. What you will bring to the role: Your knowledge of statistics, BI infrastructure and analytical methods combined with strong management and communication skills will influence how we create, evolve and embed a data strategy across the organisation You will lead in More ❯

problem-solving skills. Proficiency in Python and SQL for data extraction, transformation, and analysis. Expertise in data-driven storage solutions and handling large, complex datasets. Good understanding of classical statistics, with the ability to apply statistical inference and established methods effectively. Strong experience in strategy development, financial analysis, and stakeholder management Advanced communication and presentation skills Proven ability to manage More ❯

challenges into intelligent, scalable solutions powered by cutting-edge AI tools. The Candidate Key attributes of the suitable Data Scientist include: Strong Data Science Foundations – bring solid grounding in statistics and machine learning, along with strong programming skills – Python preferred. Passion for Cutting-Edge AI – You actively experiment with and apply modern AI technologies such as LLMs, RAGs, co-pilots More ❯

challenges into intelligent, scalable solutions powered by cutting-edge AI tools. The Candidate Key attributes of the suitable Data Scientist include: Strong Data Science Foundations – bring solid grounding in statistics and machine learning, along with strong programming skills – Python preferred. Passion for Cutting-Edge AI – You actively experiment with and apply modern AI technologies such as LLMs, RAGs, co-pilots More ❯

challenges into intelligent, scalable solutions powered by cutting-edge AI tools. The Candidate Key attributes of the suitable Data Scientist include: Strong Data Science Foundations – bring solid grounding in statistics and machine learning, along with strong programming skills – Python preferred. Passion for Cutting-Edge AI – You actively experiment with and apply modern AI technologies such as LLMs, RAGs, co-pilots More ❯

NLP/LLM projects into production. Solid understanding of model deployment, pipelines, and software development fundamentals. Expertise in Deep Learning, including training, evaluation, and optimisation. Strong grounding in mathematics, statistics, and data analysis. Experience working in Agile environments. Familiarity with technologies such as AWS, GCP, Kubernetes, Ray Serve, and Kubeflow is desirable. ---------------------------------------- Professional Values Growth: Demonstrates curiosity, adaptability, and continuous More ❯

for some of these model types would be an advantage. Experience in statistical and data science programming languages (e.g. R, Python, PySpark, SAS, SQL) A good quantitative degree (Mathematics, Statistics, Engineering, Physics, Computer Science, Actuarial Science) Experience of WTW’s Radar software is preferred Proficient at communicating results in a concise manner both verbally and written Behaviours: Good communication and More ❯

for some of these model types would be an advantage. Experience in statistical and data science programming languages (e.g. R, Python, PySpark, SAS, SQL) A good quantitative degree (Mathematics, Statistics, Engineering, Physics, Computer Science, Actuarial Science) Experience of WTW's Radar software is preferred Proficient at communicating results in a concise manner both verbally and written Behaviours: Good communication and More ❯

for some of these model types would be an advantage. Experience in statistical and data science programming languages (e.g. R, Python, PySpark, SAS, SQL) A good quantitative degree (Mathematics, Statistics, Engineering, Physics, Computer Science, Actuarial Science) Experience of WTW's Radar software is preferred Proficient at communicating results in a concise manner both verbally and written Behaviours: Good communication and More ❯

for some of these model types would be an advantage. Experience in statistical and data science programming languages (e.g. R, Python, PySpark, SAS, SQL) A good quantitative degree (Mathematics, Statistics, Engineering, Physics, Computer Science, Actuarial Science) Experience of WTW's Radar software is preferred Proficient at communicating results in a concise manner both verbally and written Behaviours: Good communication and More ❯

learning models for business application - Experience in building speech recognition, machine translation and natural language processing systems (e.g., commercial speech products or government speech projects) - PhD in math/statistics/engineering or other equivalent quantitative discipline, or Master's degree - Experience in building Computer Vision (CV) systems. Our inclusive culture empowers Amazonians to deliver the best results for our More ❯

data sources and discover techniques for best leveraging data Minimum Qualifications A Master's or PhD in a field related to AI/ML, such as: Computer Science, Mathematics, Statistics, Physics, Linguistics, Mechanical Engineering, or related disciplines Strong background applying Deep Learning techniques (including implementing custom architectures, optimizing model performance, developing novel loss functions, metrics, and benchmarks, and deploying production More ❯

of SaaS software sales experience. You're bright. Bachelor's Degree Required. Additional experience in lieu of required education will be considered. Education and/or experience in Economics, Statistics, Mathematics, Accounting, Marketing, Finance, or Operations Research considered a plus. You’ve already proven your sales expertise exceeding your quota for other SaaS-based technology solution providers. You’ve done More ❯

of SaaS software sales experience. You're bright. Bachelor's Degree Required. Additional experience in lieu of required education will be considered. Education and/or experience in Economics, Statistics, Mathematics, Accounting, Marketing, Finance, or Operations Research considered a plus. You’ve already proven your sales expertise exceeding your quota for other SaaS-based technology solution providers. You’ve done More ❯

of SaaS software sales experience. You're bright. Bachelor's Degree Required. Additional experience in lieu of required education will be considered. Education and/or experience in Economics, Statistics, Mathematics, Accounting, Marketing, Finance, or Operations Research considered a plus. You’ve already proven your sales expertise exceeding your quota for other SaaS-based technology solution providers. You’ve done More ❯

of SaaS software sales experience. You're bright. Bachelor's Degree Required. Additional experience in lieu of required education will be considered. Education and/or experience in Economics, Statistics, Mathematics, Accounting, Marketing, Finance, or Operations Research considered a plus. You’ve already proven your sales expertise exceeding your quota for other SaaS-based technology solution providers. You’ve done More ❯

of SaaS software sales experience. You're bright. Bachelor's Degree Required. Additional experience in lieu of required education will be considered. Education and/or experience in Economics, Statistics, Mathematics, Accounting, Marketing, Finance, or Operations Research considered a plus. You’ve already proven your sales expertise exceeding your quota for other SaaS-based technology solution providers. You’ve done More ❯

with industry standards and best practices Your Profile. Qualifications and Education: A degree in business or IT-related fields such as Business Administration, Business Informatics/Computer Science, Mathematics, Statistics, etc., or equivalent training with relevant experience or BA certification (e.g., IT Specialist in System Integration) At least 3 years of experience in ERP implementation and administration projects, ideally with More ❯

with industry standards and best practices Your Profile. Qualifications and Education: A degree in business or IT-related fields such as Business Administration, Business Informatics/Computer Science, Mathematics, Statistics, etc., or equivalent training with relevant experience or BA certification (e.g., IT Specialist in System Integration) At least 3 years of experience in ERP implementation and administration projects, ideally with More ❯

with industry standards and best practices Your Profile. Qualifications and Education: A degree in business or IT-related fields such as Business Administration, Business Informatics/Computer Science, Mathematics, Statistics, etc., or equivalent training with relevant experience or BA certification (e.g., IT Specialist in System Integration) At least 3 years of experience in ERP implementation and administration projects, ideally with More ❯