
Senior Data Scientist I
at McKinsey & Company
Posted 6 days ago
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- Compensation
- Not specified
- City
- Bengaluru, Gurugram
- Country
- India
Currency: Not specified
Work in a fast-paced environment solving real-world client problems at the intersection of technology and business. Collaborate with cross-functional teams to design and build innovative ML/GenAI systems that address complex challenges and scale capabilities. Lead R&D of state-of-the-art machine learning and statistical methods, bringing AI advances to clients in collaboration with QuantumBlack experts and industry executives. Map business problems to analytics solutions and build end-to-end analytics offerings that drive real impact and foster growth within a diverse, high-performing team.
Your Impact
Your Growth
- Continuous learning: Our learning and apprenticeship culture, backed by structured programs, is all about helping you grow while creating an environment where feedback is clear, actionable, and focused on your development. The real magic happens when you take the input from others to heart and embrace the fast-paced learning experience, owning your journey.
- A voice that matters: From day one, we value your ideas and contributions. You’ll make a tangible impact by offering innovative ideas and practical solutions, all while upholding our unwavering commitment to ethics and integrity. We not only encourage diverse perspectives, but they are critical in driving us toward the best possible outcomes.
- Global community: With colleagues across 65+ countries and over 100 different nationalities, our firm’s diversity fuels creativity and helps us come up with the best solutions for our clients. Plus, you’ll have the opportunity to learn from exceptional colleagues with diverse backgrounds and experiences.
- World-class benefits: On top of a competitive salary (based on your location, experience, and skills), we provide a comprehensive benefits package to enable holistic well-being for you and your family.
Your qualifications and skills
- Bachelor’s or master’s degree in computer science, machine learning, applied statistics, mathematics, engineering, or artificial intelligence
- 4+ years of deep technical experience in Python, machine learning, and statistical methods
- Proven experience applying advanced analytical, data science, and statistical methods in real-world engagements
- Strong knowledge of engineering standards, QA/Risk Management, CI/CD, and MLOps, with expertise in libraries such as scikit-learn, PyTorch, and TensorFlow
- Hands-on experience deploying and scaling real-time ML applications
- A collaborative mindset, humility, and a strong desire to help your team succeed
- Willingness to travel domestically and internationally
- Experience in GenAI application development (e.g., Retrieval-Augmented Generation, agentic flows) using API integration and orchestration tools such as LangChain, Crew.AI, or AutoGen (preferred, not required)
- Deep learning expertise with libraries like PySpark, PyTorch, TensorFlow, and scikit-learn (preferred, not required)
- Excellent presentation and communication skills, with the ability to explain complex analytical concepts to both technical and non-technical audiences
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.
Job Skill Code - DSCS - Senior Data Scientist
Function - Technology
Industry -
Post to LinkedIn - #LI-DNI
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LinkedIn Job Title - Senior Data Scientist I
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