1 to 25 of 1,239 Statistics Jobs in England

and maintenance of data warehouses ensuring data integrity, performance, and scalability. BASIC QUALIFICATIONS •Educational Background: Bachelor's or Master's degree in Computer Science, Statistics, Mathematics, Engineering, or a related quantitative field. •Experience: 1+ years of hands-on experience in Business Intelligence and Digital Transformation projects. •ETL Expertise: Proficiency in More ❯

applicable. Collaborate with the product team to integrate analytical insights into existing service offerings. Required Qualifications Master's degree in Business Analytics, Data Science, Statistics, or a related quantitative field. 5+ years of experience in a BI or advanced analytics role, preferably in a client-facing environment. Expert-level proficiency More ❯

clients and do so through thoughtfulness, prioritization, and seeing a solution through from brainstorming to deployment. Core Qualifications: Master's degree or higher in Statistics, Economics, Computer Science, Engineering, Mathematics or equivalent experience 3-5 years of practical machine learning experience Experience in programming in Python Experience building machine learning More ❯

or a related field, with a strong focus on dashboard development and visualization. Bachelor's or Master's degree in Data Science, Business Analytics, Statistics, Computer Science, Finance, Economics, or a related field. Expert-level proficiency in Tableau: Extensive experience in developing, optimizing, and managing Tableau dashboards. Relevant certifications in More ❯

comprehensive listing of required activities, duties, or responsibilities. What you'll need Bachelor's or master's degree in Data Science, Computer Science, Engineering, Statistics, or a related field. One (1) year of professional experience. Demonstrated performance in roles focused on AI, machine learning, and advanced analytics. Professional services experience More ❯

to-date with developments in the energy sector, environmental policies, and emerging trends in data analytics. Required Qualifications & Skills: A degree in Data Science, Statistics, Environmental Science, Engineering, or a related field. Proven experience working with large datasets, preferably within the energy, environmental, or sustainability sectors. Strong proficiency in data More ❯

or other BI packages - Fluency in SQL and ETL PREFERRED QUALIFICATIONS - Knowledge of data modeling and data pipeline design - Masters degree in Business, Engineering, Statistics, Computer Science, Data Science, Mathematics or related field - Experience with at least one statistical programming language such as Python working with test/control methodology More ❯

or other BI packages - Fluency in SQL and ETL PREFERRED QUALIFICATIONS - Knowledge of data modeling and data pipeline design - Masters degree in Business, Engineering, Statistics, Computer Science, Data Science, Mathematics or related field - Experience with at least one statistical programming language such as Python working with test/control methodology More ❯

team members and contribute to the data science community of practice Your Profile: Bachelor's or Master's degree in Data Science, Computer Science, Statistics, Mathematics, or related fields (PhD a plus) Strong programming skills in Python, with proficiency in data science libraries (NumPy, Pandas, scikit-learn) Experience with SQL More ❯

team members and contribute to the data science community of practice Your Profile: Bachelor's or Master's degree in Data Science, Computer Science, Statistics, Mathematics, or related fields (PhD a plus) Strong programming skills in Python, with proficiency in data science libraries (NumPy, Pandas, scikit-learn) Experience with SQL More ❯

team members and contribute to the data science community of practice Your Profile: Bachelor's or Master's degree in Data Science, Computer Science, Statistics, Mathematics, or related fields (PhD a plus) Strong programming skills in Python, with proficiency in data science libraries (NumPy, Pandas, scikit-learn) Experience with SQL More ❯

e.g. Tableau. Experience in model monitoring. (MLOPS experience would be desirable.) Have gained a master's in a quantitative field such as Computer Science, Statistics or related disciplines. Recruitment Process: Pre-screen call with the Head of Data Science. Technical Python Task TEAMS Interview Present the Technical Task, competency, live More ❯

tools e.g. Tableau. Experience in model monitoring. (MLOPS experience would be desirable.) Gained a master's in a quantitative field such as Computer Science, Statistics, or related disciplines. Saga Values: Make it Happen, Do the Right Thing, Customer First, Excellence Every Day, Our People Make Us Special Recruitment Process: Pre More ❯

scale retail datasets (e.g., POS, CRM, supply chain). Familiarity with tools like dbt, Airflow, or MLflow. Master’s or PhD in Data Science, Statistics, Computer Science, or related field. Benefits: Competitive salary and performance bonuses Flexible working options, including hybrid remote work (2 days in office) Employee discounts and More ❯

scale retail datasets (e.g., POS, CRM, supply chain). Familiarity with tools like dbt, Airflow, or MLflow. Master’s or PhD in Data Science, Statistics, Computer Science, or related field. Benefits: Competitive salary and performance bonuses Flexible working options, including hybrid remote work (2 days in office) Employee discounts and More ❯

techniques and a proven track record in delivering data science and analytics projects. A degree in decision science, engineering, mathematics, physics, operational research, econometrics, statistics, or another quantitative field. Experience in a data science and analytics role using tools such as SQL, Python, R, Power BI, and Azure. Experience with More ❯

techniques and a proven track record in delivering data science and analytics projects. A degree in decision science, engineering, mathematics, physics, operational research, econometrics, statistics, or another quantitative field. Experience in a data science and analytics role using tools such as SQL, Python, R, Power BI, and Azure. Experience with More ❯

techniques and a proven track record in delivering data science and analytics projects. A degree in decision science, engineering, mathematics, physics, operational research, econometrics, statistics, or another quantitative field. Experience in a data science and analytics role using tools such as SQL, Python, R, Power BI, and Azure. Experience with More ❯

the business to drive data-led decision-making. What We're Looking For: 3+ years of experience in data analytics. Degree in Computer Science, Statistics, Mathematics, or a related field. Proficiency in data visualisation tools (Power BI, Tableau, etc.). Experience in SQL and ERP systems. Strong financial modelling and More ❯

LLMs in data workflows. Strong stakeholder management and communication skills, translating complex findings into actionable insights. Degree in a numerate or statistical discipline (Mathematics, Statistics, Data Science, Computer Science, etc.). The benefits. Be part of an exciting data transformation programme, helping shape a cloud-first analytics ecosystem. Work with More ❯

test hypotheses. Communicate findings effectively to an audience of engineers and executives. Required Qualifications: Bachelor's Degree in Computer Science/Engineering, Applied Math, Statistics, Physics or other related quantitative areas. Advanced oral and written communication skills in English. Ability to understand mathematical models and algorithms in research papers and More ❯

We're excited if you have 3+ years of work experience with a bachelor's degree or master's degree in quantitative field (e.g., Statistics, Business Analytics, Data Science, Mathematics, Economics, Engineering or Computer Science) 3+ years of experience in consumer product, digital media or entertainment industries Expertise in SQL More ❯

Experience demonstrating problem solving and root cause analysis - Experience using databases with a large-scale data set - Bachelor's degree in engineering, analytics, mathematics, statistics or a related technical or quantitative field - Detail-oriented and must have an aptitude for solving unstructured problems. The role will require the ability to More ❯

Experience demonstrating problem solving and root cause analysis - Experience using databases with a large-scale data set - Bachelor's degree in engineering, analytics, mathematics, statistics or a related technical or quantitative field - Detail-oriented and must have an aptitude for solving unstructured problems. The role will require the ability to More ❯

for its own sake. Demonstrated leadership experience, either through line management or team/project leadership. A degree in a numerate discipline (e.g., Maths, Statistics, Computer Science, Engineering). Desirable: Experience in a complex, matrixed organisation - retail sector experience is welcome but not required . Experience working with Jira and More ❯