1 to 25 of 1,003 Statistics Jobs in England

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 ❯

Experience managing data pipelines Experience as a leader and mentor on a data science team Master's degree in a quantitative field such as statistics, mathematics, data science, business analytics, economics, finance, engineering, or computer science Our inclusive culture empowers Amazonians to deliver the best results for our customers. If 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 ❯

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 ❯

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 ❯

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 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 ❯

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 ❯

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 ❯

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 ❯

AWS, Azure, Google Cloud). Strong analytical and problem-solving skills. Excellent communication and teamwork abilities. Bachelor's degree in Data Science, Computer Science, Statistics, or a related field (or equivalent experience). Preferred Qualifications: Advanced degree (Master's or Ph.D.) in a relevant field. Experience with machine learning frameworks More ❯

AWS, Azure, Google Cloud). Strong analytical and problem-solving skills. Excellent communication and teamwork abilities. Bachelor's degree in Data Science, Computer Science, Statistics, or a related field (or equivalent experience). Preferred Qualifications: Advanced degree (Master's or Ph.D.) in a relevant field. Experience with machine learning frameworks 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 ❯

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 ❯

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 ❯

extract data, formulate metrics and build reports - Experience building and maintaining basic data artifacts (e.g., ETL, data models, queries) - Bachelor's degree in engineering, statistics, computer science, mathematics, or a related quantitative field - Experience with scripting languages (e.g., Python, Java, R) and big data technologies/languages (e.g. Spark, Hive More ❯

other data science techniques to identify patterns, predict trends, and generate intelligence that informs policing strategies. EXPERIENCE: 5+ years of experience in data science, Statistics or a related field. Proven experience in developing and implementing data science solutions to real world problems, preferably in a public sector. Good experience of More ❯

data science, specializing in time series forecasting and predictive modeling You have a Bachelor's or Master's degree in Data Science, Computer Science, Statistics, Applied Mathematics, or a related field You have strong proficiency in Python, leveraging libraries like Prophet, TensorFlow, Keras, and PyTorch for LSTM, along with expertise 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 ❯