1 to 25 of 47 Statistics Jobs in Manchester

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 ❯

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 ❯

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 ❯

up to date with industry trends and best practices in data analytics and subscription business models. Skills & Qualifications Bachelor’s degree in data science, Statistics, Mathematics, Business Analytics, or a related field. 2+ years of experience in a data analytics role Proficiency in SQL for data querying and manipulation. Experience More ❯

impact Performing exploratory data analysis and model validation What we expect from you Master's degree/PhD in Computer Science, Machine Learning, Applied Statistics, Physics, Engineering or related field Strong mathematical and statistical skills Experience with Python, Spark and SQL Experience implementing and validating a range of machine learning More ❯

marketing analytics. A STEM or financial background. A good fit may have a BSc, MSc, or PhD in one of the following areas: mathematics, statistics, chemistry, physics, economics, or finance. Analytical thinker with an ability for identifying patterns and drawing meaningful insights from data. Should have the ability to use More ❯

impact Performing exploratory data analysis and model validation What we expect from you Master's degree/PhD in Computer Science, Machine Learning, Applied Statistics, Physics, Engineering or related field Strong mathematical and statistical skills Experience with Python, Spark, and SQL Experience implementing and validating a range of machine learning More ❯

Forests, Neural Nets and Clustering Experience in statistical and data science programming languages (e.g. R, Python, PySpark, SAS, SQL) A good quantitative degree (Mathematics, Statistics, Engineering, Physics, Computer Science, Actuarial Science) Experience of WTW’s Radar software is preferred Proficient at communicating results in a concise manner both verbally and More ❯

Responsibilities: Lead the delivery AI and Data Science programme across the organisation Lead and develop the Data Science Team. Champion Data Science and Advanced Statistics, providing advice to colleagues on the delivery of complex analytic work. Contribute to the development of the AI and Data science programme to drive high More ❯

Responsibilities: Lead the delivery AI and Data Science programme across the organisation Lead and develop the Data Science Team. Champion Data Science and Advanced Statistics, providing advice to colleagues on the delivery of complex analytic work. Contribute to the development of the AI and Data science programme to drive high More ❯

Responsibilities: Lead the delivery AI and Data Science programme across the organisation Lead and develop the Data Science Team. Champion Data Science and Advanced Statistics, providing advice to colleagues on the delivery of complex analytic work. Contribute to the development of the AI and Data science programme to drive high More ❯

Responsibilities: Lead the delivery AI and Data Science programme across the organisation Lead and develop the Data Science Team. Champion Data Science and Advanced Statistics, providing advice to colleagues on the delivery of complex analytic work. Contribute to the development of the AI and Data science programme to drive high More ❯

Responsibilities: Lead the delivery AI and Data Science programme across the organisation Lead and develop the Data Science Team. Champion Data Science and Advanced Statistics, providing advice to colleagues on the delivery of complex analytic work. Contribute to the development of the AI and Data science programme to drive high More ❯

Responsibilities: Lead the delivery AI and Data Science programme across the organisation Lead and develop the Data Science Team. Champion Data Science and Advanced Statistics, providing advice to colleagues on the delivery of complex analytic work. Contribute to the development of the AI and Data science programme to drive high More ❯

Responsibilities: Lead the delivery AI and Data Science programme across the organisation Lead and develop the Data Science Team. Champion Data Science and Advanced Statistics, providing advice to colleagues on the delivery of complex analytic work. Contribute to the development of the AI and Data science programme to drive high More ❯

Responsibilities: Lead the delivery AI and Data Science programme across the organisation Lead and develop the Data Science Team. Champion Data Science and Advanced Statistics, providing advice to colleagues on the delivery of complex analytic work. Contribute to the development of the AI and Data science programme to drive high More ❯

Responsibilities: Lead the delivery AI and Data Science programme across the organisation Lead and develop the Data Science Team. Champion Data Science and Advanced Statistics, providing advice to colleagues on the delivery of complex analytic work. Contribute to the development of the AI and Data science programme to drive high More ❯

Responsibilities: Lead the delivery AI and Data Science programme across the organisation Lead and develop the Data Science Team. Champion Data Science and Advanced Statistics, providing advice to colleagues on the delivery of complex analytic work. Contribute to the development of the AI and Data science programme to drive high More ❯

in which GM Motorsports teams compete. #LI-LP2 Additional Job Description What You’ll Need (Required Qualifications) Bachelor’s Degree in Engineering, Physics, Mathematics, Statistics, Computer Science, Data Science, or related field. 5 or more years of experience in a top-level motorsports series including NASCAR, IMSA, F1, IndyCar, WEC More ❯

in which GM Motorsports teams compete. #LI-LP2 Additional Job Description What You’ll Need (Required Qualifications) Bachelor’s Degree in Engineering, Physics, Mathematics, Statistics, Computer Science, Data Science, or related field. 5 or more years of experience in a top-level motorsports series including NASCAR, IMSA, F1, IndyCar, WEC More ❯

in which GM Motorsports teams compete. #LI-LP2 Additional Job Description What You’ll Need (Required Qualifications) Bachelor’s Degree in Engineering, Physics, Mathematics, Statistics, Computer Science, Data Science, or related field. 5 or more years of experience in a top-level motorsports series including NASCAR, IMSA, F1, IndyCar, WEC More ❯

drive analytical excellence within our front office. Required Skills and Experience: Advanced degree (PhD or MS) in a quantitative subject such as Mathematics, Physics, Statistics, Computer Science, Engineering, or a related field. Proven experience as a front-office quant within energy commodities trading, with a strong focus on quantitative analysis More ❯

drive analytical excellence within our front office. Required Skills and Experience: Advanced degree (PhD or MS) in a quantitative subject such as Mathematics, Physics, Statistics, Computer Science, Engineering, or a related field. Proven experience as a front-office quant within energy commodities trading, with a strong focus on quantitative analysis More ❯

drive analytical excellence within our front office. Required Skills and Experience: Advanced degree (PhD or MS) in a quantitative subject such as Mathematics, Physics, Statistics, Computer Science, Engineering, or a related field. Proven experience as a front-office quant within energy commodities trading, with a strong focus on quantitative analysis More ❯

drive analytical excellence within our front office. Required Skills and Experience: Advanced degree (PhD or MS) in a quantitative subject such as Mathematics, Physics, Statistics, Computer Science, Engineering, or a related field. Proven experience as a front-office quant within energy commodities trading, with a strong focus on quantitative analysis More ❯