Intuit is looking to advance its data-driven decision-making capabilities across the enterprise by leveraging AI and ML to gain 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.
- AI/ML Analytics Development
- Insights & Storytelling
- Innovation & Research
- Stay ahead of emerging AI, ML, and advanced analytics trends relevant to P&P and organizational science.
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.
- Build data visualizations and dashboards that make complex analytics approachable and compelling.
- Design, develop, and implement AI-powered analytics solutions that drive insights into the employee lifecycle, workforce trends, and organizational health.
- Translate complex data into compelling narratives that influence leaders and shape talent strategies.
Other
- Principal-level influence without people management — you will be a hands-on expert shaping enterprise analytics strategy.
- 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.
- Partner with People & Places stakeholders to ensure solutions align with business priorities.
- Work closely with P&P, business leaders, and technology partners to define analytical requirements.
