1 to 25 of 670 Statistics Jobs in England

documentation and compliance with regulations like GDPR. - Communicate complex data findings through clear reports and visualisations. What we're looking for Qualifications & Experience Degree in computer science, data science, statistics, mathematics, or a related quantitative field. (Masters or PHD preferred) 2+ years of experience in data science roles, with a track record of delivering data science projects. Experience with cloud 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 ❯

to the highest standards, takes responsibility. Works well in a fast-paced football environment. Skills & Experience Education & Background: Master's or Ph.D. in a quantitative discipline such as Mathematics, Statistics, Computer Science, Data Science, or related fields. Experienced in data science, machine learning and football analytics. Technical Skills: Strong experience with tracking data model development. Proficiency in Python and SQL More ❯

Drive significant technology initiatives end-to-end and across multiple layers of data and analytics engineering What we are looking for: Essential Master's degree in Computer Science, Mathematics, Statistics, or a related quantitative field. PhD is a plus Proven proficiency with SQL and Python for data extraction, analysis, and modelling Strong understanding of machine learning algorithms, predictive modelling, and 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 ❯

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 ❯

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 ❯

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 ❯

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 ❯

data governance practices, ensuring data quality and acting as a key data stakeholder Document data sources, definitions, and methodologies Required Qualifications Technical Skills Bachelor's degree in Data Science, Statistics, Mathematics, Economics, or related field Demonstrable experience in data analysis, business intelligence, or a related role Proficiency in SQL and querying from a variety of data sources (databases, data warehouses 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 ❯

of AI concepts, including supervised and unsupervised learning. Knowledge of cloud computing platforms (e.g., AWS, GCP, Azure) Education and Knowledge Bachelor's or Master's degree in Computer Science, Statistics, Mathematics, or a related quantitative field Profile and Skills Comfortable in fast-paced, entrepreneurial environment Strong communication and teamwork abilities. Ability to deliver individually and as well as a part 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 whether they meet all qualifications, to apply. While the following qualifications are relevant to our work, they are not strict requirements: BS or MS degree in Data Science, Statistics, Computer Science, or a related field. Proven experience in machine learning, statistical modeling (5+ years) Proficiency in programming languages such as Python or R. Experience with SQL and working with More ❯

Beinga topic expert on Machine Learning and AI for your project team, enablingstrong project planning and team performance Your profile: Degreein a quantitative field, such as computer science, engineering,statistics, operational research, data science, or equivalent experience 2+years work experience in data science, working in a commercial setting orin consulting Experiencewith Machine Learning and statistical modelling techniques Strongprogramming skills in More ❯

changing priorities. Identify and implement improvements to existing data workflows or analytical approaches. Experience, Skills & Knowledge Demonstrated knowledge and expertise equivalent to advanced education in Data Science, Computer Science, Statistics, Mathematics, or related fields. Proven experience in data science, advanced analytics, or quantitative analysis Strong programming skills in Python or R, with experience in data analysis libraries (pandas, scikit-learn More ❯

and social media messaging. Create proof of concepts, product demos, respond to RFIs/RFPs, and prepare sales proposals. What We're Seeking MSc in computer science, engineering, physics, statistics, mathematics, operations research, or natural sciences, with hands-on data science experience including AI/Gen AI and machine learning. Experience analyzing large data sets, data cleaning, and statistical analysis. More ❯

the analysis of market, credit, and operational risks through quantitative methods What you'll need for this role Education & Experience Advanced degree in a quantitative discipline such as Mathematics, Statistics, Physics, Computer Science, or Financial Engineering 5+ years of experience in quantitative analysis, research, or related fields Proven track record of developing and implementing analytical models and frameworks Experience managing 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 analysis of market, credit, and operational risks through quantitative methods What you'll need for this role Education & Experience Advanced degree in a quantitative discipline such as Mathematics, Statistics, Physics, Computer Science, or Financial Engineering 5+ years of experience in quantitative analysis, research, or related fields Proven track record of developing and implementing analytical models and frameworks Experience managing More ❯

the analysis of market, credit, and operational risks through quantitative methods What you'll need for this role Education & Experience Advanced degree in a quantitative discipline such as Mathematics, Statistics, Physics, Computer Science, or Financial Engineering 5+ years of experience in quantitative analysis, research, or related fields Proven track record of developing and implementing analytical models and frameworks Experience managing More ❯