Job Summary:
McKinsey & Company is a global management consulting firm that drives lasting impact and builds long-term capabilities with clients. In this role, you will support the FinLab team as a data scientist to analyze large amounts of data, develop AI-enabled custom software tools, and advocate for the use of data and analytics to enhance client outcomes.
Responsibilities:
• Analyze large amounts of data to drive insights that will be used to make strategic decisions for our clients.
• Partner with client teams across project settings to develop AI-enabled custom software tools that will be implemented directly within our client organizations.
• Guide teams on the proper selection of datasets and analytic strategies to ensure we increase the value of impact we deliver to our clients.
• Enable collaboration across other practices, analytics groups, and technical teams to ensure efforts are synergistic and cutting-edge.
Qualifications:
Required:
• Bachelor’s or advanced professional degree in engineering, computer science, statistics, or data science; master’s degree is a plus with less than 2 years of work experience
• 3+ years of professional experience as a data analyst or data scientist
• Skilled in coding languages (e.g., SQL, Python, R), visualization/BI tools (e.g., Tableau, PowerBI) and modeling (e.g., regression, forecasting, decision trees)
• Experience with data engineering practices including ETL pipelines, orchestration tools such as Airflow, and big data platforms like Databricks; hands-on experience with data modelling techniques (e.g., 3NF, data vault, etc.), ability to work with both structured and unstructured data
• Experience with, or a strong desire to master, modern AI development frameworks like Langchain for orchestrating autonomous workflows, platforms like Amazon Bedrock for leveraging foundation models, and libraries like PydanticAI for ensuring structured, reliable data outputs.
• Comfortable working with Git, CI/CD tools, and modern development workflows
• Highly inquisitive and creative problem-solver to help colleagues and clients draw new insights and impact out of data; excited about working in a cross-cultural environment
• Entrepreneurial mindset and self-starter to step into a fast-paced and dynamic environment and ready to build a strong network across the practice
• Professional attitude, team player and service-oriented mentality
• Expertise in communicating analytical and technical concepts to both technical and non-technical colleagues alike
Preferred:
• Consulting experience preferred especially within financial services space
• Familiarity with Azure cloud services; experience with Kubernetes, Docker, and distributed computing frameworks is a plus
Company:
McKinsey & Company is a global management consulting firm and trusted advisor by businesses, governments, and institutions. Founded in 1926, the company is headquartered in New York, USA, with a team of 10001+ employees. The company is currently Late Stage.