Data Scientist - FinLab

Role overview

Join McKinsey & Company’s FinLab team in New York, NY, where you will contribute to building the next generation of enterprise intelligence. The position focuses on turning large datasets into actionable insights that support strategic client decisions. You will also work alongside client-facing teams to develop custom AI-enabled software tools that can be deployed within client organizations.

What the team offers

This role is designed for people who do well in demanding, high-reward environments and are comfortable tackling complex problems, learning quickly, and adapting when plans change. In return, you can expect strong mentorship, apprenticeship-style learning, coaching, and broad exposure that helps accelerate your leadership growth.

• Ongoing learning through structured development and feedback-oriented apprenticeship
• Room to contribute ideas early and make a meaningful difference
• Access to a global network of colleagues across 65+ countries and 100+ nationalities
• Competitive compensation aligned to location, experience, and skills, plus a comprehensive benefits package for you and your family

What you will do

You will help convert data into practical business intelligence for financial services and technology-related client work. The role combines analytical thinking, technical development, and close collaboration with internal and client teams.

• Analyze large datasets to generate insights that inform strategic decisions
• Work with client teams on project-based development of AI-enabled custom tools
• Use data and analytics to guide dataset selection and modeling approaches
• Collaborate with analytics groups, technical specialists, and other practices to deliver integrated solutions
• Contribute to the evolution of the firm’s thought leadership in financial services and technology
• Promote sound analytical practices and help teams use data more effectively

Qualifications and skills

The firm is looking for a technically strong, curious, and collaborative professional with experience in data science or data analysis, especially in a consulting context.

• Bachelor’s degree or higher in engineering, computer science, statistics, or data science; a master’s degree is an advantage, with less than 2 years of work experience for that profile
• At least 3 years of professional experience as a data analyst or data scientist
• Working knowledge of SQL, Python, or R, along with BI and visualization tools such as Tableau or Power BI
• Experience with statistical and predictive modeling methods such as regression, forecasting, and decision trees
• Exposure to data engineering workflows, including ETL, orchestration tools like Airflow, and big data platforms such as Databricks
• Ability to work with both structured and unstructured data, including data modeling approaches such as 3NF and data vault
• Interest in or experience with modern AI frameworks and tools, including Langchain, Amazon Bedrock, and PydanticAI
• Comfort using Git, CI/CD pipelines, and current software development workflows
• Familiarity with Azure cloud services; Kubernetes, Docker, and distributed computing experience is a plus
• Previous consulting experience, particularly in financial services, is preferred
• Strong problem-solving ability, intellectual curiosity, and comfort in multicultural environments
• Self-driven, entrepreneurial mindset with a team-oriented and service-focused approach
• Ability to explain technical and analytical concepts clearly to both technical and non-technical audiences

Additional information

The role requires a professional attitude and the ability to thrive in a fast-moving, collaborative environment. The organization values ethics, integrity, diverse viewpoints, and cross-functional teamwork.