Senior AI/ML Scientist: Lead Scalable Solutions

McKinsey; Raleigh (NC); On-site; USD 176,000 - 180,000; Full time

Benefits offered by this job

World‑class benefits

Competitive salary

Job summary

McKinsey & Company is seeking a senior AI/ML leader to drive cutting‑edge solutions across industries. You’ll mentor data scientists, shape the R&D roadmap for QuantumBlack, and identify high‑potential ML initiatives for industry use.

You’ll collaborate with data engineers, ML engineers, and designers to build end‑to‑end analytics solutions that create real‑world impact and help clients gain a competitive edge through advanced AI techniques.

Qualifications

• Bachelors, masters or PhD level in a discipline such as: computer science, machine learning, applied statistics, mathematics, engineering or artificial intelligence
• 6+ years of deep technical experience in distributed computing, machine learning and statistics related work
• Programming experience in languages such as: Python, R, Scala, SQL
• Proven application of advanced analytical, data science and statistical methods in the commercial world
• Knowledge of distributed computing or NoSQL technologies is a bonus
• Client‑facing skills e.g. working in close‑knit teams on topics such as data warehousing, machine learning
• While we advocate for using the right tech for the right task, we often leverage the following technologies: Python, PySpark, the PyData stack, SQL, Airflow, Databricks, our own open‑source data pipelining framework called Kedro, Dask/RAPIDS, container technologies such as Docker and Kubernetes, cloud solutions such as AWS, GCP, and Azure, and more
• Exceptional time management to meet your responsibilities in a complex and largely autonomous work environment
• Demonstrated leadership (thought leadership or people leadership e.g. managed project teams or direct reports)
• Willingness to travel
• Good presentation and communication skills, with a knack for explaining complex analytical concepts to people from other fields and the ability to adjust your style to suit different perspectives and seniority levels

Responsibilities

• Lead the development of cutting‑edge AI and machine learning solutions that tackle some of the most complex business challenges across industries‑delivering measurable impact at scale.
• You will leverage the latest advances in deep learning, reinforcement learning, and AI to uncover insights and improve business performance. You will mentor other data scientists, shape the QuantumBlack, AI by McKinsey R&D roadmap, and identify high‑potential machine learning initiatives for industry applications.
• Working closely with data engineers, machine learning engineers, and designers, you will build end‑to‑end analytics solutions that create real‑world impact.
• Your work will transform industries. By leveraging advanced AI techniques and collaborating with industry leaders, you will help clients gain a competitive edge, solve critical challenges, and achieve lasting improvements in their operations.
• You will be based in one of our North America offices and collaborate closely with data scientists, data engineers, machine learning engineers, designers, and product managers around the world.
• Together, you’ll work on interdisciplinary projects to solve complex business challenges across a range of industries. Collaborating with QuantumBlack, AI by McKinsey leadership, client executives, and technical experts, you will lead the development and application of cutting‑edge machine learning and AI solutions to drive measurable business impact.

Job description

McKinsey & Company is seeking a senior AI/ML leader to drive cutting‑edge solutions across industries. You’ll mentor data scientists, shape the R&D roadmap for QuantumBlack, and identify high‑potential ML initiatives for industry use.

You’ll collaborate with data engineers, ML engineers, and designers to build end‑to‑end analytics solutions that create real‑world impact and help clients gain a competitive edge through advanced AI techniques.