Applying artificial intelligence to real-world pricing strategies, deal optimization, and operational efficiency to enhance pricing models and deal execution processes.
Requirements
- Familiarity with Python, SQL, or other data tools, experience with AI/ML frameworks is a plus.
- Familiarity with data visualization tools.
- Strong analytical and problem-solving skills with a keen attention to detail.
- Understanding of ethical AI practices and data governance.
- 6 months to 2 years of experience in data analysis, AI/ML implementation, or pricing strategy (internships included).
Responsibilities
- Design, develop, and deploy basic machine learning models to support pricing accuracy, deal velocity, and margin optimization.
- Analyze large datasets to uncover insights and trends that inform pricing strategies.
- Partner with AI tech team and members of pricing and deals to ensure seamless implementation of AI solutions.
- Monitor and evaluate the performance of AI tools post-deployment, providing feedback and driving continuous improvement.
- Assist in creating documentation, training materials, and presentations to support adoption across the team.
- Ensure use cases have a real impact on the business. Success will not be judged by the elegance of the AI solution but by: time saved, deal time reduced, revenue increased.
- Research and keep up to date on the latest innovations in AI and be good at explaining AI technology to people with little expertise in this field
Other
- Collaborate with cross-functional teams to identify opportunities for AI integration in pricing and deal workflows.
- Excellent communication skills and the ability to translate technical concepts into business value.
- A collaborative mindset and eagerness to learn in a fast-paced environment.
- Exposure to pricing models, revenue management, or deal desk operations.
- Experience working with Microsoft Dynamics or similar enterprise platforms.
