1 to 25 of 210 Statistics Jobs in the UK excluding London

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 ❯

visualisation tools like Power BI or Tableau. Excellent interpersonal skills and ability to work cross-functionally. Nice to haves: Degree in a quantitative field (e.g. Data Science, Applied Mathematics, Statistics). Experience with machine learning in academic or commercial settings. Strong grasp of probability, statistical significance, and regression analysis. SQL proficiency and experience with cloud-based data platforms. Location: This 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 ❯

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 ❯

of business intelligence, data analytics, and data visualization to drive continuous improvement and innovation. What You'll Bring • Education: Bachelor's degree in Business Analytics, Computer Science, Data Science, Statistics, or a related field (Desired). • Experience: Minimum of 3 years of experience in business intelligence, data analytics, or a similar role. Experience working with large datasets and using BI 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 ❯

to interpret complex datasets, drawing meaningful insights to drive business decisions. Strong communication skills, with experience in managing client relationships. A degree in a relevant field such as Mathematics, Statistics, Economics, Psychology, Sociology, Physics, Engineering, or Computer Science (Master’s or PhD is a plus). Interest or experience in TV viewing data, media, or marketing analytics is beneficial but More ❯

implementation and optimization of data analysis tools and processes. Present findings and insights to stakeholders in a clear and concise manner. Experience and Qualifications Bachelor's degree in Mathematics, Statistics, Computer Science, or a related field. Proven experience as a Data Analyst or in a similar role. Proficiency in data analysis tools such as SQL or Python. Power BI experience More ❯

support marketing initiatives. Stay updated on industry trends and best practises to continuously enhance our data capabilities. What You Bring: Bachelor's or Master's degree in Data Science, Statistics, Mathematics, or a related field. Proven experience in data analysis, preferably in marketing, advertising, or public relations. Proficiency in programming languages including Python and R, along with SQL. Strong understanding More ❯

a track record of deploying models to production. Strong skills in data analysis, statistical modeling, and computational problem-solving; ideally with a background in a quantitative field such as Statistics, Mathematics, Physics, or Computer Science. Comfortable working with large-scale data and behavioral/user interaction data, and using it to build impactful, data-driven product features. Proficient in Python More ❯

Effectively partner with commercial managers across Pricing, Sales, and Ecommerce, to develop long-term strategic growth initiatives, and be a critical team member on project implementation. Apply knowledge of statistics, machine learning, programming, data modelling, simulation, and advanced mathematics to recognise patterns, identify opportunities, pose business questions, and make valuable discoveries, leading to prototype development and product improvement. End-to More ❯

foundational understanding of SQL Familiarity with data visualization tools (e.g., Power BI, Tableau) Excellent communication skills and a collaborative mindset A degree in a relevant field (e.g., Data Science, Statistics, Business, or similar) is advantageous Why Join Us? Competitive Salary Pension 31 days holiday, increasing with service, plus have your birthday off Paid time off annually to volunteer Comprehensive health More ❯

based, or you can work from one of the company's offices across the UK. What you'll need to succeed PhD (or Master's with substantial experience) in statistics, maths, physics, data science, computing, statistical genetics or a related field with a strong methodological focus (or equivalent experience) Demonstrated ability to create and validate new statistical/analytical models More ❯

based, or you can work from one of the company's offices across the UK. What you'll need to succeed PhD (or Master's with substantial experience) in statistics, maths, physics, data science, computing, statistical genetics or a related field with a strong methodological focus (or equivalent experience) Demonstrated ability to create and validate new statistical/analytical models More ❯

based, or you can work from one of the company's offices across the UK. What you'll need to succeed PhD (or Master's with substantial experience) in statistics, maths, physics, data science, computing, statistical genetics or a related field with a strong methodological focus (or equivalent experience) Demonstrated ability to create and validate new statistical/analytical models More ❯

based, or you can work from one of the company's offices across the UK. What you'll need to succeed PhD (or Master's with substantial experience) in statistics, maths, physics, data science, computing, statistical genetics or a related field with a strong methodological focus (or equivalent experience) Demonstrated ability to create and validate new statistical/analytical models More ❯

based, or you can work from one of the company's offices across the UK. What you'll need to succeed PhD (or Master's with substantial experience) in statistics, maths, physics, data science, computing, statistical genetics or a related field with a strong methodological focus (or equivalent experience) Demonstrated ability to create and validate new statistical/analytical models More ❯

based, or you can work from one of the company's offices across the UK. What you'll need to succeed PhD (or Master's with substantial experience) in statistics, maths, physics, data science, computing, statistical genetics or a related field with a strong methodological focus (or equivalent experience) Demonstrated ability to create and validate new statistical/analytical models More ❯

based, or you can work from one of the company's offices across the UK. What you'll need to succeed PhD (or Master's with substantial experience) in statistics, maths, physics, data science, computing, statistical genetics or a related field with a strong methodological focus (or equivalent experience) Demonstrated ability to create and validate new statistical/analytical models More ❯

to influence and build rapport Understanding of revenue management, ideally within the travel or leisure industry Strong MS Excel, PowerPoint, and Word skills Bachelor’s degree in Data Science, Statistics, Mathematics, or related discipline Proactive, collaborative mindset with a continuous improvement ethos Familiarity with tools like Snowflake, SharePoint, and AWS (desirable) What’s In It For You? 25 Days Holiday More ❯

Advanced knowledge of Microsoft Excel Specialist business intelligence knowledge and expertise acquired through degree level or equivalent qualification/experience Experience of complex data analysis using advanced knowledge of statistics, database design and BI systems tools Understand basic concepts of BI Architecture such as ETL, Data Warehousing and Data Modelling Ability to manipulate, model and analyse data using Excel, SQL 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 ❯

technical stakeholders. Support ongoing projects around forecasting, budgeting, and financial planning. Continually improve your technical and financial knowledge with support from senior staff. Qualifications: Degree in Finance, Economics, Mathematics, Statistics , or a closely related field. Strong interest in data and financial analysis. Confidence working with Excel ; familiarity with SQL, Python , or Power BI is a plus. Basic understanding of financial More ❯

infrastructure. Your contributions will directly support smarter decision-making and drive innovation across the business. What you'll need to succeed A degree in Computer Science, Information Technology, Mathematics, Statistics, or a related field. (Not a must but beneficial) A genuine passion for data - its potential, its impact, and how to harness it effectively. Hands-on experience supporting and improving More ❯

whole Identify and recommend opportunities for cost efficiencies Monitor and audit data quality Required qualifications/Profile Degree qualification or equivalent in a relevant field such as mathematics, economics, statistics or computer engineering In depth knowledge of statistical methodologies and data analysis techniques A strong understanding of data sources, data organisation and storage Knowledge of relevant relational databases such as More ❯