Senior Data Science Research Analyst – Strategy & Corporate Finance
| Company | McKinsey & Company |
|---|---|
| Location | Boston, MA, USA, Toronto, ON, Canada, Washington, DC, USA, Jackson Township, NJ, USA, Chicago, IL, USA, Atlanta, GA, USA |
| Salary | $Not Provided – $Not Provided |
| Type | Full-Time |
| Degrees | Bachelor’s, Master’s |
| Experience Level | Senior |
Requirements
- Bachelor’s or advanced professional degree in data science, statistics, computer science or related field required
- 3+ 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 artificial intelligence 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, such as consultants and industry experts, to understand client needs and deliver impactful AI-driven solutions
- Effectively communicate findings and insights to both technical and non-technical stakeholders
- Stay current with advancements in AI, machine learning, and deep learning, and apply these innovations to client projects and product development initiatives
- Contribute to the development and maintenance of AI infrastructure and tools to support ongoing projects and initiatives
- Foster strong partnerships and collaborate regularly with the product and engineering team, practice experts, and firm stakeholders
Preferred Qualifications
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No preferred qualifications provided.