1 to 25 of 217 Remote Permanent Statistics Jobs

and t he successful candidate must have the right to work in the UK and meet the following criteria: Required Skills & Experience: Bachelor's degree in computer science , Mathematics, Statistics, Business Administration or related field Advanced knowledge of SQL (joins, aggregations, CTEs and window functions) Good knowledge of Python, including popular Data Science packages (pandas, matplotlib, seaborn, numpy , sklearn ) Familiarity More ❯

proficiency in R (required) and working knowledge of Python (preferred). Familiarity with legacy statistical software such as SPSS, Stata, or SAS is welcome. Proven ability to: Apply inferential statistics and econometric techniques Conduct regression modelling and data wrangling Apply machine learning methods (e.g. clustering, decision trees) Work with structured datasets and survey designs Experience or interest in AI and 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 ❯

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 £(Apply online only) Salary Please send a copy of your CV if you meet the requirements and 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 ❯

Scientist and the successful candidate must have the right to work in the UK and meet the following criteria: Required Skills & Experience: Bachelor's degree in Computer Science, Mathematics, Statistics, Business Administration or related field Advanced knowledge of SQL Good knowledge of Python, including popular Data Science packages (pandas, matplotlib, seaborn, numpy, sklearn) Familiarity with what is happening under the 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 ❯

analytical and problem-solving skills, with a keen eye for detail. Effective written and verbal communication skills to share insights with diverse audiences. A degree in Data Science, Computing, Statistics, Economics, or a related field is preferred. This is a great opportunity to grow your analytical skills and gain hands-on experience in a data-driven environment. If you're 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 ❯

Implement advanced tools and frameworks to enhance analytics capabilities while promoting best practices in data governance and security. Skills & Experience Bachelor's or Master's degree in Data Science, Statistics, Computer Science, Mathematics, Economics, or a related field. 5+ years in data analytics, data science, or related roles Proven track record of managing technical teams and delivering impactful data-driven 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 ❯

Bring to the Table 3+ years of professional experience in data science, ML engineering, or quantitative research. A degree in a quantitative field (e.g., Applied Maths, Physics, Biomedical Engineering, Statistics, Computer Science). Solid grasp of machine learning (e.g. training and evaluating standard models) and statistical techniques (e.g. running hypothesis testing). Experienced in contributing to production-level Python codebases 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 ❯

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 ❯

with the product, marketing, and engineering teams to turn insights into product features and campaigns. Preferred Qualifications for the Data Scientist : Bachelors degree in a quantitative field (e.g., Mathematics, Statistics, Computer Science, Data Science, Engineering, or similar) is required. Masters degree in a relevant field is a strong plus, especially with hands-on experience in gaming, betting, or consumer apps. More ❯

environments Collaborate with team members and stakeholders to build data science products that enable others to make business decisions Qualifications Postgraduate degree in a relevant discipline (e.g. STEM, Maths, Statistics, Physics) or equivalent experience Good data modelling, software engineering knowledge, and strong knowledge of statistical, mathematical and ML modelling are a must at this stage. Skilful in writing well-engineered More ❯

including formulas, pivot tables, and data visualization. Python coding experience for data manipulation, automation and front- end development. Knowledge of SQL for querying databases and extracting insights. Understanding of statistics and analytical concepts, such as correlation, T-tests, and multi-variable regression. Ability to work collaboratively across departments and manage multiple tasks. Strong problem-solving and critical-thinking skills. Excellent More ❯

Expertise in using data visualization tools such as Google Looker and working with Google's BigQuery. Experience in design and evaluation of A/B tests. Familiarity with Bayesian statistics, especially for hypothesis testing. Extra points for good knowledge of Bayesian programming (PyMC3, etc). Experience with application of optimization theory or reinforcement learning based on automated A/B 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 ❯

full life cycle of MI, PBI reports, and Dashboard. Work closely with software developers and data analysis teams to produce innovative reports and dashboards. What we are looking for Statistics, Mathematics, or a related field. Excellent problem-solving abilities, analytical skills, and attention to detail. Proficiency in programming languages such as Python , R or Scala. Experience with infrastructure technologies (e.g. More ❯

technical data into business-friendly insights. Proactive, self-motivated, and able to manage multiple priorities in a fast-paced environment. A degree in a quantitative field such as Mathematics, Statistics, Economics, Computer Science, Business Analytics, or a related discipline. Desirable: Experience with statistical programming languages (e.g., Python, R) for more advanced analysis. Direct experience analysing store-level performance data for 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 ❯