Data Scientist – QuantumBlack, AI by McKinsey

Overview

In this role you drive advanced analytics and AI solutions for clients, collaborating with跨-disciplinary teams to transform data into business value. You’ll work on cutting-edge projects, contribute to R&D and conferences, and deploy ML/AI systems that deliver measurable impact. The position emphasizes continuous learning, mentorship, and a strong, ethical, globally connected environment. You’ll join a high-performance culture that values curiosity, resilience, and clear communication to accelerate your growth as a technologist and leader.

Pay / Benefits

• competitive salary
• comprehensive benefits package

Responsibilities

• Collaborate with clients and interdisciplinary teams to develop advanced analytics solutions and solve complex business challenges
• Translate business problems into analytical tasks, build models, and evaluate outcomes with relevant metrics
• Contribute to internal tools and participate in R&D projects and global conferences
• Partner with clients to understand needs and deliver data-driven solutions
• Lead design and deployment of ML/AI solutions in collaboration with QuantumBlack and AI by McKinsey leadership
• Work with cross-functional teams across regions to deliver impact and drive adoption

Key requirements

• Bachelor’s, Master’s, or PhD in a technical field (e.g., Computer Science, Machine Learning, Applied Statistics, Mathematics, Engineering, Physics)
• 1+ years of professional ML/data mining experience with substantial data sets
• Programming experience with SQL and Python data science stack
• Knowledge of at least one big data framework (e.g., PySpark, Hive, Hadoop) is a plus
• Strong understanding of ML methods and experience applying them in data-rich environments
• Ability to prototype and deploy ML algorithms and translate outputs into solutions
• Experience deploying ML/AI technologies in production is a plus
• Familiarity with Python, PySpark, PyData stack, SQL, Airflow, Databricks, Kedro, Dask/RAPIDS, Docker, Kubernetes, and cloud platforms (AWS, GCP, Azure)
• Familiarity with Generative AI and agentic systems is a plus
• Excellent time management and strong English communication skills
• Willingness to travel

• Strong communication (verbal and written) in English
• Ability to collaborate with diverse teams
• Autonomy and proactive problem-solving
• SQL
• Python (Data Science stack)
• PySpark

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