1 to 25 of 163 Permanent Statistics Jobs in the South East

analytics solutions and models and refine based on business needs or new data availability. Qualifications we seek in you! Minimum Qualifications Bachelor’s degree in Data Science, Computer Science, Statistics, Mathematics, Engineering, or a related field. 8+ years of relevant experience in data analytics, data science, and data modeling. Proven experience in building and maintaining enterprise-level data models. Strong More ❯

analytics solutions and models and refine based on business needs or new data availability. Qualifications we seek in you! Minimum Qualifications Bachelor’s degree in Data Science, Computer Science, Statistics, Mathematics, Engineering, or a related field. 8+ years of relevant experience in data analytics, data science, and data modeling. Proven experience in building and maintaining enterprise-level data models. Strong More ❯

analytics solutions and models and refine based on business needs or new data availability. Qualifications we seek in you! Minimum Qualifications Bachelor’s degree in Data Science, Computer Science, Statistics, Mathematics, Engineering, or a related field. 8+ years of relevant experience in data analytics, data science, and data modeling. Proven experience in building and maintaining enterprise-level data models. Strong More ❯

goals. Visualise data insights: Build and maintain interactive dashboards and visualisations that provide clear, actionable insights for stakeholders. Requirements : Bachelor’s degree in a STEM field: Preferred disciplines include Statistics, Mathematics, Computer Science, Engineering, or related fields. Proficiency in programming languages: Experience with Python and SQL for data analysis, manipulation, and modeling. Basic understanding of machine learning: Familiarity with predictive More ❯

goals. Visualise data insights: Build and maintain interactive dashboards and visualisations that provide clear, actionable insights for stakeholders. Requirements : Bachelor’s degree in a STEM field: Preferred disciplines include Statistics, Mathematics, Computer Science, Engineering, or related fields. Proficiency in programming languages: Experience with Python and SQL for data analysis, manipulation, and modeling. Basic understanding of machine learning: Familiarity with predictive 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 ❯

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 ❯

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

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

looking for Minimum 5 years of solid working experience in a Data Science capacity, with demonstrated experience in leading projects or initiatives. A Master's degree (or equivalent) in Statistics, Quantitative Sciences, Data Science, Operations Research, or a related quantitative field. Strong ability to manipulate, analyze, and interpret large, complex datasets independently. Deep understanding of advanced statistical techniques and concepts More ❯

looking for Minimum 5 years of solid working experience in a Data Science capacity, with demonstrated experience in leading projects or initiatives. A Master's degree (or equivalent) in Statistics, Quantitative Sciences, Data Science, Operations Research, or a related quantitative field. Strong ability to manipulate, analyze, and interpret large, complex datasets independently. Deep understanding of advanced statistical techniques and concepts More ❯

deployment, and optimisation of AI/ML models. Partner with business leaders to identify key challenges and opportunities. Requirements: PhD or Master’s degree in Data Science, Computer Science, Statistics, Mathematics, or a related field Proven leadership experience in a data science or AI-driven organization. Proficient in Python (core skill), with strong experience in SQL, AWS, and CI/ More ❯

deployment, and optimisation of AI/ML models. Partner with business leaders to identify key challenges and opportunities. Requirements: PhD or Master’s degree in Data Science, Computer Science, Statistics, Mathematics, or a related field Proven leadership experience in a data science or AI-driven organization. Proficient in Python (core skill), with strong experience in SQL, AWS, and CI/ 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 ❯

initiatives with business goals. Data storytelling: Design and maintain dashboards and visualisations that translate data into actionable insights for business stakeholders. 🎓 Requirements: Bachelor’s degree in a STEM field: Statistics, Mathematics, Computer Science, Engineering, or similar. Programming proficiency: Experience with Python and SQL for data analysis, manipulation, and basic modelling. Understanding of machine learning: Exposure to predictive modelling techniques, particularly More ❯

initiatives with business goals. Data storytelling: Design and maintain dashboards and visualisations that translate data into actionable insights for business stakeholders. 🎓 Requirements: Bachelor’s degree in a STEM field: Statistics, Mathematics, Computer Science, Engineering, or similar. Programming proficiency: Experience with Python and SQL for data analysis, manipulation, and basic modelling. Understanding of machine learning: Exposure to predictive modelling techniques, particularly 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 ❯

best practices in model development. Take ownership of project areas while working in a collaborative, face-to-face, and iterative development environment. Skills & Experience Strong foundation in applied mathematics, statistics, or machine learning. Experience building and deploying models in Python (pandas, NumPy, scikit-learn, etc.). Comfort working with large and complex datasets, including data wrangling and exploratory analysis. Experience More ❯

best practices in model development. Take ownership of project areas while working in a collaborative, face-to-face, and iterative development environment. Skills & Experience Strong foundation in applied mathematics, statistics, or machine learning. Experience building and deploying models in Python (pandas, NumPy, scikit-learn, etc.). Comfort working with large and complex datasets, including data wrangling and exploratory analysis. Experience More ❯

best practices in model development. Take ownership of project areas while working in a collaborative, face-to-face, and iterative development environment. Skills & Experience Strong foundation in applied mathematics, statistics, or machine learning. Experience building and deploying models in Python (pandas, NumPy, scikit-learn, etc.). Comfort working with large and complex datasets, including data wrangling and exploratory analysis. Experience More ❯

good interpersonal and communication skills, and experience of active collaboration within a larger team. A desire to continue developing data science skills from the wider teams combined expertise, including statistics and machine learning, Educational or working background in a bioscience, clinical or related field can be helpful, but not essential. Knowledge of research within the NHS can be helpful, but More ❯

professional growth and impact Champion adoption of best practices in ML operations, experimentation frameworks, and data governance Key Skills Advanced degree (MSc/PhD) in Data Science, Computer Science, Statistics, Mathematics, or a related quantitative field Extensive experience in data science, with proven in leadership roles managing dynamic, multi-disciplinary teams Deep expertise in machine learning techniques, including clustering, Bayesian More ❯

professional growth and impact Champion adoption of best practices in ML operations, experimentation frameworks, and data governance Key Skills Advanced degree (MSc/PhD) in Data Science, Computer Science, Statistics, Mathematics, or a related quantitative field Extensive experience in data science, with proven in leadership roles managing dynamic, multi-disciplinary teams Deep expertise in machine learning techniques, including clustering, Bayesian More ❯

professional growth and impact Champion adoption of best practices in ML operations, experimentation frameworks, and data governance Key Skills Advanced degree (MSc/PhD) in Data Science, Computer Science, Statistics, Mathematics, or a related quantitative field Extensive experience in data science, with proven in leadership roles managing dynamic, multi-disciplinary teams Deep expertise in machine learning techniques, including clustering, Bayesian More ❯