Data Science Research Analyst - Strategy & Corporate Finance

McKinsey • Atlanta, GA

219d

About The Position

You'll be based in one of our US hubs and will be working with our Strategy and Corporate Finance practice. This role is part of the McKinsey Value Intelligence Platform, which is a cornerstone data and insights platform for the firm, supporting client delivery teams and clients with expert insights on companies and industries. You will work closely with other data scientists, engineers, designers, and product managers and report directly to the Asset Leader within the practice. You will be responsible for performing domain research, data extraction, data transformation, data analytics and/or advanced analytics for asset design and development. You will support the asset team in advancing the team's product offerings by improving actionable insights via new AI capabilities to better serve our client delivery teams. In this 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. This may include, but is not limited to: experimental testing with new large language models (LLMs), structuring and implementing proof of concepts, enhancing existing functionality through new analytical approaches, and helping design end-to-end solutions alongside our engineers. The role involves analyzing large and complex data sets to uncover patterns, trends, and actionable insights using generative artificial intelligence techniques. You will develop and implement AI models, including machine learning, deep learning, and natural language processing algorithms, tailored to address client-specific challenges. Additionally, you may design, test, and deploy scalable AI solutions in production environments. Collaboration with cross-functional teams, such as consultants and industry experts, is essential to understand client needs and deliver impactful AI-driven solutions. Effective communication of findings and insights to both technical and non-technical stakeholders is a key aspect of the role. Staying current with advancements in AI, machine learning, and deep learning, and applying these innovations to client projects and product development initiatives, is expected. Furthermore, you will contribute to the development and maintenance of AI infrastructure and tools to support ongoing projects and initiatives. You will foster strong partnerships and collaborate regularly with the product and engineering team, practice experts, and firm stakeholders (e.g., Risk, Legal). You will collaborate closely with these teams to align on strategic direction and ensure a coordinated approach.

Requirements

• Bachelor's or advanced professional degree in data science, statistics, computer science or related field required.
• Years of professional work experience in a data science role; preference for experience in finance or related field.
• Hands-on experience applying data science methods (i.e., statistical modeling, machine learning techniques: regression, forecasting/predictive modeling, decision trees) to business problems.
• Exceptional problem-solving and analytical skills with ability to breakdown 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.
• 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.
• 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.
• Proficiency in Python and relevant libraries (Pandas, NumPy, Scikit-learn, streamlit).
• Proficiency in querying language like SQL.
• Experience with AI and machine learning frameworks and libraries (e.g., TensorFlow, PyTorch).

Responsibilities

• Perform domain research, data extraction, data transformation, data analytics and/or advanced analytics for asset design and development.
• Support the asset team in advancing the team's product offerings by improving actionable insights via new AI capabilities.
• Support the delivery of longer-term projects and shorter-term needs for data analysis from corporate finance experts and client delivery teams.
• Conduct experimental testing with new large language models (LLMs).
• Structure and implement proof of concepts.
• Enhance existing functionality through new analytical approaches.
• Help design end-to-end solutions alongside engineers.
• Analyze large and complex data sets to uncover patterns, trends, and actionable insights using generative AI techniques.
• Develop and implement AI models, including machine learning, deep learning, and natural language processing algorithms.
• Design, test, and deploy scalable AI solutions in production environments.
• Collaborate with cross-functional teams to understand client needs and deliver impactful AI-driven solutions.
• Communicate findings and insights to both technical and non-technical stakeholders.
• Contribute to the development and maintenance of AI infrastructure and tools.

Benefits

• Comprehensive benefits package, which includes medical, dental, mental health, and vision coverage for you, your spouse/partner, and children.

What This Job Offers

• Job Type: Full-time
• Career Level: Entry Level
• Industry: Professional, Scientific, and Technical Services
• Education Level: Bachelor's degree