AI Scientist - Simulation & Forecasting

Role Summary

AI Scientist - Simulation & Forecasting at Lilly. Based in Indianapolis, IN, you will analyze complex data sets, develop simulation models, leverage foundation models, and identify insights that drive business decisions. You will work with cross-functional teams to understand problems, develop hypotheses, and test them with data.

Responsibilities

• Develop and implement machine learning algorithms to analyze large data sets
• Collaborate with stakeholders to understand business problems and provide data-driven solutions
• Communicate insights and recommendations to technical and non-technical stakeholders
• Conduct research to identify emerging trends and technologies
• Manage and prioritize multiple projects simultaneously
• Frame and solve complex business problems with simulation and AI
• Develop and implement scenario planning models
• Communicate insights and recommendations to stakeholders
• Collaborate with cross-functional teams
• Stay up-to-date with emerging trends and technologies in simulation and AI
• Ensure data quality and accuracy

Qualifications

• Required: Ph.D. in Computer Science, Applied Mathematics (Numerical Analysis, High Performance Computing, Operations Research, Physics, Engineering, or a quantitative related field)
• Required: Or MS in Computer Science, Applied Mathematics (Numerical Analysis, High Performance Computing, Operations Research, Physics, Engineering, or a quantitative related field) with at least 5 years of related experience developing simulation models and leveraging foundation models or forecasting
• Required: Experience with simulation and machine learning
• Required: Proficiency in programming languages such as Python or R

Skills

• Experience with deep learning algorithms and reinforcement learning
• Excellent communication and presentation skills
• People management or consulting experience
• Experience with simulation platforms like Anylogic
• Experience in consulting, bio-tech, finance, or pharmaceutical

Education

• Ph.D. in Computer Science, Applied Mathematics, or a quantitative related field (or MS with equivalent experience as described in Qualifications)

Additional Requirements

• Must be willing to relocate
• Schedule will be hybrid (3 days onsite at the Lilly Corporate Center)