Analytics

Senior Data Scientist I

Job ID: 104410
  • Bengaluru
  • Gurugram


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 work in a fast-paced environment, solving real-world problems for clients across industries, and develop a unique perspective at the intersection of technology and business.
You will collaborate with cross-functional teams (Data Scientists, Product Managers, Business Stakeholders) to design and build innovative ML/GenAI systems that address complex client challenges. You will share your expertise to help our product teams enhance and scale capabilities, while staying at the forefront of the latest technologies. You will experience exceptional growth opportunities as you work with cutting-edge tools and technologies to deliver impactful solutions. You will be part of a diverse, multidisciplinary team of inspiring individuals, fostering both personal and professional growth.
As a Senior Data Scientist, you will solve the hardest business problems with our clients in multiple industries worldwide while leading research and development of state-of-the-art Machine Learning and statistical methods. You will play a leading role in bringing the latest advances in AI and deep learning to our clients, collaborating with industry executives and QuantumBlack, AI by McKinsey experts to find and execute opportunities to improve business performance using data and advanced machine learning models. You will identify machine learning R&D initiatives that have high potential of applicability in industry.
You will work with QuantumBlack, AI by McKinsey leadership and client executives to understand business problems and map them to state-of-the-art analytics and AI solutions. You will work closely with other data scientists, data engineers, machine learning engineers and designers to build end-to-end analytics solutions for our clients that drive real impact in the real world. You will work in one of the most talented and diverse data science teams in the world.

Your Growth

Driving lasting impact and building long-term capabilities with our clients is not easy work. You are the kind of person who thrives in a high performance/high reward culture - doing hard things, picking yourself up when you stumble, and having the resilience to try another way forward.
In return for your drive, determination, and curiosity, we'll provide the resources, mentorship, and opportunities you need to become a stronger leader faster than you ever thought possible. Your colleagues—at all levels—will invest deeply in your development, just as much as they invest in delivering exceptional results for clients. Every day, you'll receive apprenticeship, coaching, and exposure that will accelerate your growth in ways you won’t find anywhere else.
When you join us, you will have:
  • 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
Please review the additional requirements regarding essential job functions of McKinsey colleagues.
Our unwavering commitment to integrity drives everything we do, guiding us to always act in the best interests of our clients, our people, and the communities we serve.
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Job Skill Code - DSCS - Senior Data Scientist
Function - Technology
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