151 to 175 of 1,046 Statistics Jobs in the UK

understanding of statistical foundations and mathematical modelling. Familiarity with cloud-based frameworks; Azure preferred. Advanced degree (MS/PhD) in Data Science, Computer Science, Statistics, Applied Math, or related field. Strong Points: Deep technical specialization in optimization, simulation, and applied math. Ability to translate complex models into actionable business insights. More ❯

academic performance alone. You will, however, need to be working towards an honours degree in a technology related discipline such as Computer Science, Maths, Statistics, Engineering, Data Science, have a minimum of grade 4/C GCSE (or equivalent) in English Language and Maths, or in your home language if More ❯

analytics. Strong attention to detail and ability to retain information. Adept using analytical programming languages such as R, Python, C++, etc. BSc in mathematics, statistics, computer science, engineering or other quantitative discipline. Strong communication and collaboration skills. Positive 'can do' attitude, and ability to meet deadlines. Willingness to learn and More ❯

environment. Strong analytical mindset - a background in data science, AI, or machine learning is essential. Degree educated in a STEM discipline such as Mathematics, Statistics, Computer science etc. Excellent problem-solving skills - with a strategic approach to product development. Outstanding communication and leadership - the ability to influence stakeholders and drive More ❯

environment. Strong analytical mindset - a background in data science, AI, or machine learning is essential. Degree educated in a STEM discipline such as Mathematics, Statistics, Computer science etc. Excellent problem-solving skills - with a strategic approach to product development. Outstanding communication and leadership - the ability to influence stakeholders and drive More ❯

Forests, Neural Nets and Clustering 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 More ❯

expenses fully paid). About you: You are degree educated, having achieved a 2.1 or above in a relevant discipline, e.g. Data Science, Mathematics, Statistics, Physics, Computer Science, Informatics or Engineering You have strong experience with analytics and data manipulation software e.g. R, Python, PySpark, SAS, SQL, SPSS You take More ❯

expenses fully paid). About you: You are degree educated, having achieved a 2.1 or above in a relevant discipline, e.g. Data Science, Mathematics, Statistics, Physics, Computer Science, Informatics or Engineering You have strong experience with analytics and data manipulation software e.g. R, Python, PySpark, SAS, SQL, SPSS You take More ❯

reporting and analytics. Constantly seeking ways to improve data processes, tools, and output quality. What You Bring A degree in a quantitative field (e.g. Statistics, Mathematics, Computer Science, or Actuarial Science). Proven experience in the insurance industry — actuarial pricing experience is highly preferred. Hands-on experience with SQL and More ❯

great team spirit, supporting team and colleagues on tasks big and small. Desirable MSc or PhD in Data Science related field (e.g. Machine Learning, Statistics, Mathematics). Experience within a regulated financial services organization. Ability to present sophisticated findings clearly, adapting the level of detail to the audience. Experience in More ❯

desirable. Proven track record of delivering analytics solutions in collaboration with data engineers and IT teams. Degree in a quantitative field such as Mathematics, Statistics, Computer Science, or similar. Why Apply? Influence core business decisions at one of the most respected insurers in the Lloyd’s market. Lead exciting projects More ❯

desirable. Proven track record of delivering analytics solutions in collaboration with data engineers and IT teams. Degree in a quantitative field such as Mathematics, Statistics, Computer Science, or similar. Why Apply? Influence core business decisions at one of the most respected insurers in the Lloyd’s market. Lead exciting projects More ❯

guide other scientists and engineers, fostering a culture of scientific curiosity and excellence. BASIC QUALIFICATIONS Ph.D. or Master's in Computer Science, Electrical Engineering, Statistics, Mathematics, or a related field. Proven expertise in AI/ML fields such as LLMs, Computer Vision, Generative AI, NLP, or foundational models. Experience with More ❯

advanced level Experience with data mining tools like SQL, SAS, SPSS, or similar PREFERRED QUALIFICATIONS Bachelor's degree in a quantitative discipline such as statistics, mathematics, economics, computer science, or any related quantitative field Knowledge of SQL/Python/R, scripting, MS Excel, table joins, and aggregate analytical functions More ❯

under pressure. Strong decision-making and problem-solving skills. Minimum of a 2:1 degree in Mathematics or a related field with elements of statistics, data analytics, or logic. Relevant work experience is desirable but not essential; we are hiring both experienced and new professionals. Desirable Skills and Experience Experience More ❯

contributions Communicate important developments and changes to area leadership and other stakeholders Who you are: Bachelor's degree in a quantitative field (Economics, Finance, Statistics, Mathematics, Computer Science, etc.) or equivalent experience Extensive analytical experience in Revenue, Sales, Operations, or Business Analytics Fluency in one or more programming languages, SQL More ❯

processes and methodologies to support knowledge sharing and transparency, reproducibility, and knowledge sharing across teams. What You Need A degree in Computer Science, Engineering, Statistics, or a related field (Master's or Ph.D. preferred but not essential). Strong understanding of machine learning algorithms and NLP techniques, with hands-on More ❯

new programming languages and software tools. - Interest in, and awareness of, the data science technology landscape. - Interest and understanding of global trade, economics and statistics is also important. Salary Competitive (dependent on experience) plus bonus and benefits Location London/Midlands/Hybrid Number of vacancies 1-2 Start date More ❯

new programming languages and software tools. - Interest in, and awareness of, the data science technology landscape. - Interest and understanding of global trade, economics and statistics is also important. Salary Competitive (dependent on experience) plus bonus and benefits Location London/Midlands/Hybrid Number of vacancies 1-2 Start date More ❯

5+ years of relevant experience in capacity planning, financial/business analysis, or quantitative research. PREFERRED QUALIFICATIONS MBA or Master's degree in Mathematics, Statistics, Computer Science, Engineering, or related analytical disciplines. Our inclusive culture empowers Amazonians to deliver the best results for our customers. If you have a disability More ❯

Machine Learning/Data Science. Working away at partner locations as required. WHAT YOU'LL NEED A Masters degree in Computer Science, Applied Mathematics, Statistics, Physics or related field, or equivalent experience. A PhD/DPhil is highly valued but not essential. Experience with state-of-the-art ML libraries. More ❯

Master's degree in Economics, a related field (e.g., Statistics, Data Science, Public Policy, Business, Finance), or equivalent practical experience. 9 years of experience using analytics to solve product or business problems, coding (e.g., Python, R, SQL), querying databases or statistical analysis. Preferred qualifications: PhD in economics or a related More ❯

and components while working alongside super-smart colleagues challenging and rewriting the rules, not just following them. What we expect from you: Degree in Statistics, Maths, Physics, Economics or similar field Programming skills (Python and SQL are a must have, Pyspark is recommended) Analytical Techniques and Technology Experience with and More ❯

use and which not to use. Engage stakeholders in constructive dialogues to convert business problems into logic problems that can be solved with data, statistics, and scripting. Manage and execute entire projects or components of large projects from start to finish including project management, data gathering and manipulation, synthesis and More ❯

media systems management and bidding optimization, process improvements, and automation to enhance performance. What We Seek Bachelor's degree in Business/Maths/Statistics or a related quantitative field. 2+ years experience working in a data analytics position, preferably in a digital marketing environment. Ability to turn complex data More ❯