At Lilly, we unite caring with discovery to make life better for people around the world. We are a global healthcare leader headquartered in Indianapolis, Indiana. Our employees around the world work to discover and bring life-changing medicines to those who need them, improve the understanding and management of disease, and give back to our communities through philanthropy and volunteerism. We give our best effort to our work, and we put people first. We’re looking for people who are determined to make life better for people around the world.

Job Description

Advanced Analytics Finance ai - LCCI

How would you like a career where you get to use your best analytical skills to make a substantial difference in the well-being of people across the globe? Bring YOUR skills and talents to Lilly and our Advanced Analytical and Data Sciences organization where you’ll have the opportunity to make an impact on the lives of patients.

As an innovation driven company we work to discover and bring life-changing medicines to those who need them, improve the understanding and management of disease, and give back to our communities through philanthropy and volunteerism.

Our Advanced Analytical and Data Sciences organization is growing to support the entire Lilly enterprise, from Discovery to Development to Manufacturing and Commercialization of our medicines. To solve the complex problems of a global business and the ever-evolving data and analytics landscape, the organization generally requires advanced degrees in statistics, mathematics, econometrics, operations research and computer science. We are playing a leading role in transforming the way the company discovers and develops new treatments, identifies personalized treatment regimens, drives efficiency in our operations and optimizes our commercialization of new products. We are doing this with an emphasis in the areas of machine learning and artificial intelligence, natural language processing and other approaches to unstructured data, advanced mathematical and predictive modeling, visual analytics and more. Whether you are intrigued by the research and development of new medicines or optimizing our commercialization/business, or driving efficiency into our operations, we have a position for you. You will be encouraged to identify important business problems and to further your own research interests in these areas including presentations and publications at professional meetings. Come join us on our amazing journey to make life better!

Responsibilities:

You will be part of a growing and dynamic team of advanced analytics professionals whose main goal is to help our marketing, finance, and business leadership partners achieve their business goals through advanced data analytics.  Key responsibilities include:

Partner with the US Finance Analytics team to identify, scope, and execute advanced analytics efforts that answer business questions, solve business needs, and add value. Examples include forecasting sales, estimating marketing channel effectiveness and customer targeting and segmentation. Collaborate with other analytics team members to review and provide feedback on the analytics work being done and be willing to seek feedback from other team members about your own work. Stay current with respect to statistical/mathematical/informatics modeling methodology, to maintain proficiency in applying new and varied methods, and to be competent in justifying methods selected.

Basic Qualifications:

• Ph.D./Master's/Bachelor’s in Statistics, Technology, Data Science, or closely related field
• 2+ years for Ph.D. otherwise 5+ years of relevant work experience

Required Skills:

• A high degree of programming proficiency in Python with good hands-on knowledge of various concepts of Machine Learning and Artificial Intelligence
• Proficient in building models, visualizations, and apps with Python
• Good understanding of predictive modeling, large language models, and experience with algorithms such as XGBoost, RNN, Transformers, etc.
• Deep and broad knowledge of statistical modeling and data mining methods and tools
• Proficiency in SQL to process and integrate data from multiple different sources
• Interpersonal communication skills for effective consultation

Preferred Skills:

• Good knowledge of generative AI libraries like Langchain, CrewAI, Autogen, cloud platforms, and application deployment
• Experience with causal inference models (matched controls, Mahalanobis distance, calipers, propensity score methods, covariate balancing)
• Experience with designing statistical experiments (DoE)

Additional Information:

• Proficient in applying machine learning algorithms and techniques to solve complex business problems
• Strong understanding of data preprocessing, feature engineering, and model evaluation techniques
• Experience with deploying machine learning models into production environments
• Ability to communicate complex technical concepts to non-technical stakeholders
• Passion for continuous learning and staying up-to-date with the latest advancements in machine learning and artificial intelligence
• Excellent problem-solving and critical thinking skills
• Strong teamwork and collaboration skills

Make the impossible possible in your quest to make life better.
Bring Analytics to life by giving it zeal and making it applicable to our business.
Know, learn, and keep up-to-date on the statistical and scientific advances to maximize your impact.
Bring an insatiable desire to learn, to innovate, and to challenge yourself for the benefit of patients.
Lilly is a global health care leader that unites caring with discovery to make life better for people around the world. For more than a century, we have stayed true to a core set of values—excellence, integrity, and respect for people—that guide us in all we do: discovering medicines that meet real needs, improving the understanding and management of disease, and giving back to communities. We also are committed to investing in our employees and supporting a culture of well-being —through competitive pay, comprehensive employee benefit programs, and training and development resources.

We’re doing extraordinary things. Join us and you could be, too!

Lilly is dedicated to helping individuals with disabilities to actively engage in the workforce, ensuring equal opportunities when vying for positions. If you require accommodation to submit a resume for a position at Lilly, please complete the accommodation request form (https://careers.lilly.com/us/en/workplace-accommodation) for further assistance. Please note this is for individuals to request an accommodation as part of the application process and any other correspondence will not receive a response.

Lilly does not discriminate on the basis of age, race, color, religion, gender, sexual orientation, gender identity, gender expression, national origin, protected veteran status, disability or any other legally protected status.

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