Intuit is seeking to advance its data-driven decision-making capabilities across the enterprise by designing, developing, and implementing AI-powered analytics solutions that 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
- 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
- Experience with machine learning pipelines and model validation
- Knowledge of transformer models for sentiment analysis
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
- Partner with People & Places stakeholders to ensure solutions align with business priorities
Other
- Bachelor’s degree in Data Science, Statistics, Computer Science, or a related field; Master’s preferred
- 8+ years of experience in people data, workforce analytics, or related advanced analytics roles
- Ability to work closely with P&P, business leaders, and technology partners to define analytical requirements
- Collaboration with other analytics teams to share best practices, methods, and tools
- Act as an AI/ML subject matter expert for people analytics initiatives
