In this role at McKinsey, as a Data Science Analyst, you will have the opportunity to work with the Insights & Analytics group and consulting teams, tackling analytically complex client problems in the marketing domain. Your primary responsibility will be client service, with a focus on knowledge development. Here are the key activities you will be involved in:

• Performing general statistical analysis and modeling for marketing efforts in client engagements
• Developing statistical models to measure and optimize pricing and promotions
• Providing guidance to teams on analytics projects related to technique/modeling issues
• Supporting the development and maintenance of proprietary McKinsey marketing techniques and other knowledge development projects
• Coaching and mentoring new hires by sharing business, functional, and technical expertise
• Delivering high-quality end products on time and performing quality checks as needed

Your qualifications and skills should include:

• Bachelors or masters degree in disciplines such as computer science, applied statistics, mathematics, engineering, or related fields
• 2+ years of deep technical experience in advanced analytics, statistics, and machine learning
• Hands-on experience in building, training, and optimizing predictive models
• Knowledge of hypothesis testing and experimental designs, with a preference for experience in A/B testing
• Advanced expertise in Python, including key libraries like Pandas, NumPy, Scikit-learn, Matplotlib, and Seaborn; familiarity with Kedro is a plus
• Proficiency in SQL for data extraction and transformation
• Strong understanding of cloud platforms, particularly AWS and/or Azure Databricks
• Familiarity with data visualization tools such as Tableau or Power BI, as well as version control systems like Git
• Intermediate expertise in Excel for building basic models to support scenario analysis and decision-making
• Excellent presentation and communication skills to explain complex analytical concepts and insights to technical and non-technical audiences

If you join McKinsey, you can expect continuous learning opportunities, a voice that matters, a global community with diverse perspectives, and world-class benefits. Your colleagues will invest in your development while delivering exceptional results for clients. In this role at McKinsey, as a Data Science Analyst, you will have the opportunity to work with the Insights & Analytics group and consulting teams, tackling analytically complex client problems in the marketing domain. Your primary responsibility will be client service, with a focus on knowledge development. Here are the key activities you will be involved in:

• Performing general statistical analysis and modeling for marketing efforts in client engagements
• Developing statistical models to measure and optimize pricing and promotions
• Providing guidance to teams on analytics projects related to technique/modeling issues
• Supporting the development and maintenance of proprietary McKinsey marketing techniques and other knowledge development projects
• Coaching and mentoring new hires by sharing business, functional, and technical expertise
• Delivering high-quality end products on time and performing quality checks as needed

Your qualifications and skills should include:

• Bachelors or masters degree in disciplines such as computer science, applied statistics, mathematics, engineering, or related fields
• 2+ years of deep technical experience in advanced analytics, statistics, and machine learning
• Hands-on experience in building, training, and optimizing predictive models
• Knowledge of hypothesis testing and experimental designs, with a preference for experience in A/B testing
• Advanced expertise in Python, including key libraries like Pandas, NumPy, Scikit-learn, Matplotlib, and Seaborn; familiarity with Kedro is a plus
• Proficiency in SQL for data extraction and transformation
• Strong understanding of cloud platforms, particularly AWS and/or Azure Databricks
• Familiarity with data visualization tools such as Tableau or Power BI, as well as version control systems like Git
• Intermediate expertise in Excel for building basic models to support scenario analysis and decision-making
• Excellent presentation and communication skills to explain complex analytical concepts and insights to technical and non-technical audiences

If you join McKinsey, you can expect continuous learning opportunities, a voice that matters, a global community with diverse perspectives, and world-class benefits. Your colleagues will invest in your development while delivering exceptional results for clients.