Data Analyst - Strategy and Corporate Finance - McKinsey Value Intelligence Platform

About the role

You will support the delivery of longer-term projects and shorter-term needs for data analysis from our corporate finance experts and client delivery teams.

Responsibilities

• Experimental testing with new large language models (LLMs)
• Structuring and implementing proof of concepts
• Enhancing existing functionality through new analytical approaches
• Helping design end-to-end solutions alongside our engineers
• Analyzing large and complex data sets to uncover patterns, trends, and actionable insights using generative artificial intelligence techniques
• Developing and implementing AI models, including machine learning, deep learning, and natural language processing algorithms, tailored to address client-specific challenges
• Designing, testing, and deploying scalable AI solutions in production environments
• Collaborating with cross-functional teams, such as consultants and industry experts, to understand client needs and deliver impactful AI-driven solutions
• Effective communication of findings and insights to both technical and non-technical stakeholders
• Staying current with advancements in AI, machine learning, and deep learning, and applying these innovations to client projects and product development initiatives
• Contributing to the development and maintenance of AI infrastructure and tools to support ongoing projects and initiatives

Requirements

• Bachelor’s or advanced professional degree in data analytics, statistics or related field required
• 1+ years of professional work experience in a data science or analytics role; preference for experience in finance or related field
• Exceptional problem-solving and analytical skills with ability to break down complex problems, design testing approaches, conduct quantitative analysis at scale, and drive end-to-end solutions
• Strong sense of ownership and entrepreneurial mindset; demonstrated success delivering outcomes in cross-functional teams
• Professional, impartial, and independent attitude with a high degree of integrity
• Comfortable with ambiguity in a work-setting, knowing how to address and manage unpredictable outcomes

Qualifications

• Experience with AI and machine learning frameworks and libraries would be nice to have (e.g., TensorFlow, PyTorch)
• Good communication skills with proven ability to communicate analytical and technical concepts effectively with managers and senior leaders, and to both technical and non-technical colleagues