1 to 25 of 74 Remote Statistics Jobs in the UK excluding London

and approaches adopted by the Team Job requirements Knowledge, Skills and Experience: MEng/MSc or PhD degree in a quantitative field such as Data Science, Computer Science, Engineering, Statistics, or a related discipline Proven experience in data analysis, statistical modelling, and machine learning techniques. Previous experience in Aerodynamic Performance, Software and/or Vehicle Modelling is advantageous Proficiency in More ❯

platforms such as Azure, (AWS or Google Cloud) Good knowledge of optimisation techniques and design patterns for large data solutions. Bachelor's or master's degree in data science, Statistics, Computer Science, or a related field is a plus Home-based Excellent benefits £50000 - 55000 Salary Please send a copy of your CV if you meet the requirements and are More ❯

peer reviews for modelling projects. Stay current with industry trends, tools, and best practices to continuously improve the team's capabilities. Qualifications Education: Bachelor's degree in data science, Statistics, Mathematics, or a related field. Experience: 2 or more years of experience in a data science or analytics role. Proven experience in building machine learning models, statistical analysis, and predictive More ❯

solving skills are critical. Presentation skills for explaining complex analytics solutions to diverse audiences. Qualifications: Necessary Qualifications include: Bachelor’s degree in a quantitative field (e.g., Computer Science, Engineering, Statistics, Mathematics) or equivalent combination of education and relevant work experience. Master’s degree preferred. Why QBE? At My Best? At QBE, we want our people to feel rewarded and inspired More ❯

set and continuously seek to learn and improve. Ideally, you bring strong programming skills and can rapidly learn new programming languages. You may come from a background in mathematics, statistics, analytics, computer science, engineering, or a related field, but we don't expect everyone to fit a single profile. We value diversity of thought and experience and offer development support More ❯

Curious, collaborative, and proactive in driving change Qualifications 7+ years in data science or analytics with a strong focus on customer behavior MSc or PhD in a quantitative field (Statistics, Data Science, Computer Science, Applied Math) Proven track record of creating measurable business value through customer-focused models and analytics Experience working in B2C, e-commerce, subscription, retail, or fintech More ❯

set and continuously seek to learn and improve. Ideally, you bring strong programming skills and can rapidly learn new programming languages. You may come from a background in mathematics, statistics, analytics, computer science, engineering, or a related field, but we don't expect everyone to fit a single profile. We value diversity of thought and experience and offer development support More ❯

set and continuously seek to learn and improve. Ideally, you bring strong programming skills and can rapidly learn new programming languages. You may come from a background in mathematics, statistics, analytics, computer science, engineering, or a related field, but we don't expect everyone to fit a single profile. We value diversity of thought and experience and offer development support More ❯

flexible and willing to adapt within a fast-changing business environment. We would expect the successful candidate to have: A master's or PhD degree in bioinformatics, computational biology, statistics, data science or a related scientific discipline, or equivalent previous experience working in industry Demonstrated understanding of statistical analysis and application of mathematical techniques to complex biological data including microbiome More ❯

can then make data driven decisions upon. The successful candidate will be able to demonstrate: A Degree in a subject with Data Analysis at its core (ie. Computer Science, Statistics, Data Science etc.) That you live in commuting distance to Newport Pagnell 3+ years' experience in a similar role and possess a genuine passion for data analysis and progressing your More ❯

with cloud-based data platforms and tools, such as Azure Data Lake, AWS, or Google Cloud. Degree, or equivalent experience, in a quantitative field such as Data Science, Mathematics, Statistics, Computer Science, or related discipline. Strong working knowledge of Microsoft Office products, specifically MS Excel. Desirable Experience Prior involvement in transitioning data environments, such as migrating from traditional databases to More ❯

data solutions before deployment. Document business processes, data flows, and analytical requirements to support transparency and knowledge sharing. Your Background (Skills and attributes) Bachelor's degree in business, Finance, Statistics, or a related field. Proven experience as a Business Analyst with a focus on data and analytics. Strong attention to detail that is focussed on data quality, accuracy, and completeness More ❯

Job Description Summary GE Aerospace is seeking a highly skilled and motivated Data Analytics and Reliability Engineer to join our team. In this role, you will be responsible for driving data validation, automation strategies, and predictive analytics initiatives to support More ❯

key decision makers across the business Assist in the deployment and monitoring effort to ensure efficient productisation of the solutions created Key Skills and Experience: PhD. or masters in statistics, data science or equivalent field Previous experience within data science Experience in commercial pricing and modelling, ideally with a focus in Motor Experience and detailed technical knowledge of GLMs/ More ❯

key decision makers across the business Assist in the deployment and monitoring effort to ensure efficient productisation of the solutions created Key Skills and Experience: PhD. or masters in statistics, data science or equivalent field Previous experience within data science Experience in commercial pricing and modelling, ideally with a focus in Motor Experience and detailed technical knowledge of GLMs/ More ❯

product innovation. Commit to continuous enhancement of data analytics skills, staying abreast of the latest industry tools and practices. Desired Qualifications: Bachelor’s degree in Computer Science, Data Science, Statistics, or a related technical discipline. Solid foundation in data analysis, with a keen interest in specializing within the tech sector. Proficiency in Excel; proficiency in SQL, Python, R, or other More ❯

algorithms and techniques. Extensive experience in building AI based applications Strong understanding of Software Development best practices and in OO Design principles and patterns. Very strong competency in mathematics, statistics, data structures and algorithms. A penchant for finding outstanding solutions to very difficult problems. Excellent communication skills and collaboration capabilities. Ability to work in a diverse/multi-cultural environment. More ❯

at least 2 years focused on deep learning and LLM applications. Strong programming experience in Python and hands-on development of ML pipelines. Solid knowledge of machine learning algorithms, statistics, and deep learning. Proven experience with PyTorch, TensorFlow, Scikit-learn, and transformer-based models. Practical knowledge of LLM integration (e.g., GPT, Claude) and RAG architecture. Experience with ML lifecycle management More ❯

Teamwork: the capacity to operate as a team player, working co-operatively with colleagues and clients Academic background: degree at graduate or postgraduate level, preferably in Data Science, Mathematics, Statistics, Economics, Finance, and other social sciences with significant quantitative components. Other numerate degrees will also be considered Some experience working in the energy or utilities, environmental sector, or with public More ❯

GLMs, GAMs, Decision Trees, Random 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 and Emblem software is preferred Proficient at communicating results in a concise manner both verbally and written Behaviours: Self More ❯

customer experiences. You thrive in working autonomously to drive impact in a fast-paced cross-functional business. PhD or MSc or equivalent a numerate subject: Machine Learning, Computer Science, Statistics, or similar Demonstrable experience of applying, researching, and developing sophisticated statistical/ML methods to drive value in a commercial setting, Ability to deliver projects on time, taking project briefs More ❯

communicate with both technical and non-technical audience and strong stakeholder management experience. Minimum criteria You'll need all of these. Educated to a degree standard, ideally in applied statistics/Data Science/Mathematics. Strong experience using machine learning to solve business problems involving both structured and unstructured data. Experience of working with cloud-based data stores such as More ❯

controls Collaborate with Commercial Pricing to align models to business goals Mentor and support junior analysts and team members What We’re Looking For: Degree (graduate or postgraduate) in Statistics , Mathematics , or a related analytical field Experience in a pricing or actuarial role in general insurance Hands-on experience with Earnix or Radar Proficient in Python or R for data More ❯

solutions. Skilled at translating complex data into clear, compelling insights for non-technical audiences through effective communication and storytelling Education and/or Experience Requirements: Bachelor's Degreein Marketing, Statistics, Mathematics, Computer Science, or Finance. Preferred: Bachelor's Degree inFinance, Mathematics, or Statistics. Master's Degree Preferred 5+ years of experience in marketing or customer analytics. 1+ years in a More ❯

solutions. Skilled at translating complex data into clear, compelling insights for non-technical audiences through effective communication and storytelling Education and/or Experience Requirements: Bachelor's Degreein Marketing, Statistics, Mathematics, Computer Science, or Finance. Preferred: Bachelor's Degree inFinance, Mathematics, or Statistics. Master's Degree Preferred 5+ years of experience in marketing or customer analytics. 1+ years in a More ❯