Data Scientist - Periscope

McKinsey & Company

Data Science

Bengaluru, Karnataka, India

• Gurugram, Haryana, India
  
  

Posted on Apr 26, 2025

Apply now

Digital

Data Scientist - Periscope

Job ID: 97316

• Bengaluru
• Gurugram
  
  

Apply Now Apply Later

Do you want to work on complex and pressing challenges—the kind that bring together curious, ambitious, and determined leaders who strive to become better every day? If this sounds like you, you’ve come to the right place.

Your Impact

You will also be responsible for developing deep Retail domain understanding in at least one of the following areas –Customer Analytics, Pricing Optimization, Inventory Management, E-commerce, or Digital Transformation.

Collaboration with business stakeholders, engineers and internal teams to build and implement extraordinary retail focused data products (reusable asset) and solutions and delivering them right to the client will be of utmost importance.

You will work on the frameworks and libraries that our teams of Data Scientists and Data Engineers use to progress from data to impact.

You will guide global companies through data science solutions to transform their businesses and enhance performance across industries including E-commerce, Grocery, F&B and CPG

Your Growth

You will be based in one of our offices in Bengaluru or Gurugram as part of our Growth, Marketing & Sales practice.

The Growth, Marketing & Sales practice strives to help client in both consumer and business-to-business environments on a wide variety of marketing and sales topics.

The mission of this practice is to help clients achieve marketing-driven profit growth.

Our clients benefit from our experience in core areas of marketing such as customer insights, marketing ROI, digital marketing, CLM pricing, and sales and channel management.

Your Qualifications And Skills

• Master's degree in computer science, engineering or mathematics, or equivalent experience
• 5+ years of relevant experience with strong foundations of statistics and machine learning techniques
• Proven experience applying machine learning techniques to solve business problems
• Proven experience in translating technical methods to non-technical stakeholder
• Proven experience writing production-grade code (Python / Pyspark) for machine learning in a professional setting
• Strong understanding of analytics libraries (e.g., pandas, numpy, matplotlib, scikit-learn, statsmodels, kedro, mlflow)
• Experience in any cloud platforms (AWS, Azure, or GCP)
• Familiarity with containerization technologies (Docker, Docker-compose)
• Experience with Git-based workflows and automation frameworks, specifically GitHub Actions and GitLab CI/CD
• Familiarity or hands-on experience with data visualization tools (PowerBI, Tableau, etc.)
  
  

Please review the additional requirements regarding essential job functions of McKinsey colleagues.

Industries

• High Tech
• Retail
  
  

Capabilities

• Technology
  
  

Apply Now Apply Later

FOR U.S. APPLICANTS: McKinsey & Company is an Equal Opportunity employer. All qualified applicants will receive consideration for employment without regard to sex, gender identity, sexual orientation, race, color, religion, national origin, disability, protected Veteran status, age, or any other characteristic protected by applicable law.

FOR NON-U.S. APPLICANTS: McKinsey & Company is an Equal Opportunity employer. For additional details regarding our global EEO policy and diversity initiatives, please visit our McKinsey Careers and Diversity & Inclusion sites.

share this job

Job Skill Group - N/A

Job Skill Code - TCGB - Data Scientist II

Function - Technology

Industry - High Tech;Retail

Post to LinkedIn - Yes

Posted to LinkedIn Date - Wed Apr 23 00:00:00 GMT 2025

LinkedIn Posting City - Bengaluru

LinkedIn Posting State/Province -

LinkedIn Posting Country - India

LinkedIn Job Title - Data Scientist - Periscope

LinkedIn Function - Consulting;Engineering;Information Technology

LinkedIn Industry - Computer Software;Information Technology and Services;Retail

LinkedIn Seniority Level - Mid-Senior level

Apply now

See more open positions at McKinsey & Company