Intuit is seeking to advance its data-driven decision-making capabilities across the enterprise by leveraging artificial intelligence (AI) and machine learning (ML) to drive insights into the employee lifecycle, workforce trends, and organizational health.
Requirements
- Demonstrated expertise in AI and ML, including practical implementation of algorithms and models in production environments.
- Proficiency in programming languages such as Python or R, with strong experience in data wrangling, modeling, and visualization.
- Strong applied experience with predictive analytics, NLP, and sentiment analysis techniques.
- Experience with machine learning pipelines in Python or R, training/testing models, and validating their performance against real-world datasets.
- Knowledge of transformer models for sentiment analysis.
- Experience with data visualization tools and techniques.
- Familiarity with AI-driven tools and platforms for people analytics.
Responsibilities
- Design, build, and deploy predictive and prescriptive models to optimize talent acquisition, performance management, engagement, and retention.
- Implement machine learning algorithms to forecast workforce trends (e.g., attrition, career velocity, skill evolution).
- Develop and operationalize natural language processing (NLP) solutions for sentiment analysis of employee feedback, surveys, and communications.
- Identify and integrate AI-driven tools that can be embedded into core People & Places platforms.
- Translate technical analyses into clear, actionable insights for leaders across the organization.
- Build data visualizations and dashboards that make complex analytics approachable and compelling.
- Stay ahead of emerging AI, ML, and advanced analytics trends relevant to P&P and organizational science.
Other
- 8+ years of experience in people data, workforce analytics, or related advanced analytics roles.
- Bachelor’s degree in Data Science, Statistics, Computer Science, or a related field; Master’s preferred.
- Ability to work independently in ambiguous, fast-paced environments and deliver impactful outcomes.
- Exceptional storytelling and communication skills to convey technical findings to non-technical audiences.
- Collaboration and influence skills to work with cross-functional partners and stakeholders.
