Data Scientist II - QuantumBlack, AI by McKinsey

About the role

QuantumBlack, AI by McKinsey is looking for a Data Scientist II to work on real-world, high-impact projects across many industries. You will collaborate with the QuantumBlack Labs team to build complex and innovative machine learning systems that accelerate AI work and solve business problems at speed and scale. The role sits within one of the most advanced data science teams globally.

Key responsibilities

• Partner with clients, from data owners and users to C-level executives, to understand their needs and build analytics solutions
• Contribute to cross-functional problem-solving sessions and deliver presentations to colleagues and clients
• Translate business problems into analytical problems and develop models evaluated with relevant metrics
• Write highly optimized code to advance the internal Data Science Toolbox
• Build and deploy machine learning solutions to complex, large-scale data problems
• Take part in R&D projects and attend conferences such as NIPS and ICML, and share insights with colleagues
• Help guide global companies through data science solutions in sectors such as healthcare, automotive, energy and elite sport

Required profile

• Bachelor's, master's or PhD in computer science, machine learning, applied statistics, mathematics, engineering or artificial intelligence
• 2+ years of professional experience applying machine learning and data mining techniques to real problems with large amounts of data
• Ability to prototype statistical analysis and modeling algorithms and apply them to new domains
• Willingness to travel

Required skills

• SQL and Python's Data Science stack are a must
• Good knowledge of at least one big data framework (PySpark, Hive, Hadoop) is a plus
• R, SPSS, SAS (nice to have)
• Knowledge of prompt engineering and generative AI application building (RAG, agentic systems), including engineering standards, QA and risk management

What we offer

• A competitive salary based on location, experience and skills
• Structured learning and apprenticeship programmes with coaching and mentorship
• A comprehensive benefits package covering well-being for you and your family
• A global community of colleagues across 65+ countries and over 100 nationalities