51 to 75 of 546 Statistics Jobs in the UK excluding London

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 ❯

firm remains at the forefront of industry standards. Qualifications: Master’s degree or higher in a quantitative discipline such as Financial Engineering, Applied Mathematics, Statistics, Physics, or Computer Science. At least 3 years of relevant experience in risk management or quantitative research, ideally within a trading or investment environment. Strong 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 ❯

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 ❯

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 ❯

Series Forecasting including in production environment. Theoretical knowledge in other data science domains - Machine Learning (decision trees, linear regression, clustering and more), Deep Learning, statistics, etc. Developing and design capabilities (Python), understanding of object-oriented programming. Experience with machine learning-based solutions in production is an advantage. Experience with SQL More ❯

This is a fixed-term contract for 24 months, ending 30 September 2027. Skills and Attributes for Success Degree in mathematics, data science, AI, statistics, biomedical or biological sciences. Experience in data science roles, managing and analyzing data, and developing ML tools. Leadership experience in managing research projects and teams. More ❯

funding ends 30 th September 2027). Your skills and attributes for success: Degree in a relevant field (e.g. mathematics, data science, artificial intelligence, statistics, biomedical/biological sciences). Experience in a role involving data science, including managing, structuring, visualizing, analyzing data, and building statistical or machine learning tools. More ❯

and drive their implementation Ability to successfully build relationships with clients and stakeholders Mastery of problem solving and solutioning Proven history and background in statistics/mathematics/macroeconomics What’s In It For You At Accenture in addition to a competitive basic salary, you will also have an extensive More ❯

highly proficient with technology, software and can demonstrate quick grasp of programming languages. You have a degree that demonstrates technical ability (e.g., Economics, Mathematics, Statistics, etc.) You can work within an inclusive and diverse team to deliver fresh thinking and innovative solutions. You interact with colleagues and with our clients More ❯

planning. Create data visualization dashboards, handle ad-hoc data requests, and independently complete analytical reports. Requirements Bachelor’s degree or above, preferably in Mathematics, Statistics, Computer Science, Information Management, or related fields. Proficient in English for professional communication; experience in internet-based international business is a plus. Familiar with data More ❯

machine learning models. Advise on proper Model Deployment infrastructure. Collaborate with a huge variety of stakeholders Requirements An MSc/PhD in Computer Science, Statistics, or a similarly relevant area. Extensive commercial experience building Machine Learning & Data Science models for Recommender Systems, Pricing Elasticity, Forecasting, NLP, Computer Vision models, etc. More ❯

Process raw data and build a model to predict revenue (2-4 hours). A technical interview with the Head of Technology, covering coding, statistics, and technical problem-solving. More ❯

to stakeholders and users, and strong communication skills are essential. What we’re looking for: Advanced degree in Quantitative Finance, Applied Mathematics, Operations Research, Statistics, Computer Science or similar At least 5 years of experience in a front office development role at a major investment bank Experience of designing, building More ❯

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 More ❯

and maintain analytical tools and dashboards Participate in process improvement initiatives Qualifications 2:1 or above degree in one of the following: Data Science, Statistics, Mathematics, or a related analytical field Strong numerical and analytical abilities Experience with coding languages Valid UK driving license Problem-solving mindset Ability to explain More ❯

perfect) in short sprints. Skills & experience required: Educated to at least degree level in a quantitative subject; Machine Learning, Computer Science, Physics, Chemistry, Mathematics, Statistics, Engineering, Economics etc. Proven experience in leading data science projects across a range of areas required, such as personalisation, pricing, forecasting, GenAI, NLP, classification and More ❯

data collection pre-processing, feature engineering, model selection, training, evaluation, and validation Who You Are: Have a master’s or PhD in Computer Science, Statistics, Physics, Machine Learning or related field. Proven track record of successfully leading Data/Machine Learning teams Experienced in building and deploying a variety of More ❯

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 5 years of experience in a front office development role at a major investment bank. Essential Skills: Experience More ❯

in data , ML, AI and engineering. Experience Required: Educated to degree level in Data Science, Machine Learning, Physics, Chemistry, Engineering, Economics, Computer Science, Mathematics, Statistics, or a related field. Proven experience in data science, analytics, AI or engineering fields. Proven track record of successfully delivering complex data projects, with demonstrable More ❯

skills, with the ability to work effectively in a cross-functional team environment Education: Bachelor's degree in quantitative field like Computer Science, Engineering, Statistics, Mathematics or related field required. Advanced degree is a strong plus More ❯

collaboration and reproducibility. Preferred Skills: Experience with NLP (Natural Language Processing), computer vision, or reinforcement learning. Mathematics & Algorithms: Strong knowledge of linear algebra, probability, statistics, and optimization techniques. Knowledge of MLOps, CI/CD pipelines, and automated testing for machine learning models. Version Control: Familiarity with version control tools such More ❯

in LLMs : Proven experience with Large Language Models (LLMs) and fine-tuning techniques. Education : Master’s or Ph.D. in AI, Data Science, Computer Science, Statistics, or a related field. Programming Proficiency : Strong proficiency in programming languages like Python or R. Preference for candidates with a competitive coding background (e.g., ACM More ❯