Data Science Analyst – Periscope | McKinsey & Company – Bengaluru/Gurugram
Job Description
Summary
McKinsey & Company is hiring a Data Science Analyst – Periscope to join its Insights & Analytics (IA) team in Bengaluru or Gurugram. This role is ideal for professionals with 2+ years of experience in advanced analytics, statistics, or machine learning. As a Data Science Analyst, you will leverage predictive modeling, statistical analysis, and big data tools to solve complex client problems in marketing, sales, and pricing. This is an opportunity to work with McKinsey’s Growth, Marketing & Sales (GM&S) team, applying cutting-edge analytics to optimize client performance and build lasting business impact.
Job Details at a Glance
| Job Title | Data Science Analyst – Periscope |
|---|---|
| Company | McKinsey & Company |
| Location | Bengaluru / Gurugram, India |
| Department | Analytics / Insights & Analytics (IA) |
| Experience Required | 2+ years in advanced analytics, statistics, or machine learning |
| Education | Bachelor’s or Master’s in CS, Applied Statistics, Mathematics, Engineering, or related fields |
| Key Skills/Tools | Python (Pandas, NumPy, Scikit-learn, Matplotlib, Seaborn), SQL, AWS/Azure, Databricks, Tableau, Power BI, version control (Git), Excel |
| Shift/Work Mode | Full-time, On-site |
| Industry | Consulting / High Tech / Retail |
Responsibilities
- Conduct statistical analysis and predictive modeling for marketing, pricing, and promotion optimization.
- Develop and train machine learning models, interpret results, and provide actionable insights.
- Support data-driven decision-making for clients by analyzing large datasets and generating reports.
- Collaborate with McKinsey consulting teams to solve complex marketing and sales challenges.
- Provide guidance on analytics methodology and modeling techniques for client projects.
- Maintain and contribute to McKinsey’s proprietary marketing and analytics knowledge base.
- Mentor and coach junior analysts and new hires on technical and business expertise.
- Deliver high-quality outputs on time, ensuring accuracy and reliability of results.
Skills and Qualifications
Required:
- Bachelor’s or Master’s in Computer Science, Applied Statistics, Mathematics, Engineering, or related field.
- 2+ years of technical experience in advanced analytics, statistics, and machine learning.
- Hands-on experience in predictive modeling, hypothesis testing, and experimental design (A/B testing).
- Advanced expertise in Python and its key libraries (Pandas, NumPy, Scikit-learn, Matplotlib, Seaborn); familiarity with Kedro is a plus.
- Proficiency in SQL for data extraction and transformation.
- Experience working with cloud platforms (AWS/Azure Databricks) and data visualization tools (Tableau, Power BI).
- Familiarity with version control (Git) and intermediate Excel skills.
- Excellent communication and presentation skills, with the ability to explain complex analytical insights to technical and non-technical audiences.
Preferred:
- Experience in consulting or client-facing analytics roles.
- Knowledge of retail, high tech, or consumer industries.
- Ability to collaborate in fast-paced, dynamic environments and deliver under tight deadlines.
Benefits
- Competitive salary based on location, experience, and skills.
- Comprehensive benefits package including health, dental, vision, and mental well-being support.
- Opportunities for mentorship, professional growth, and continuous learning in a high-performing, global environment.
- Access to McKinsey’s global analytics networks and innovative projects to make tangible business impact.
Apply Now
Join McKinsey & Company as a Data Science Analyst – Periscope and leverage advanced analytics to drive measurable impact for top clients. Work with a global team of data scientists and consultants to deliver innovative marketing and sales solutions.