Business Insights & Analytics Data Scientist Internship

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.
Business Insights & AnalyticsData Scientist Internship Overview:
You will be part of a growing team of data science professionals with experience ranging across the analytical disciplines. The team's main goal is to help our marketing, finance, and business leadership partners improve patient lives through advanced data analytics
Responsibilities:

• Collaborating with commercial teams to identify, scope, and execute analytic efforts that answer business questions, solve business needs, and add business value. Examples include estimating marketing channel effectiveness, improving customer engagement and identifying barriers to care.
• Suggesting innovations to current approaches and possible future projects

• Communicating insights to empower key stakeholders to inform decision-making
• Maintaining a broad understanding of sales and marketing and be fully engaged with business teams, bringing an objective voice to the table, and facilitating decisions grounded in data
• Engaging 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
• Staying current with respect to data science methodology, to maintain proficiency in applying new and varied methods, and to be competent in justifying methods selected

Requirements:

• Currently enrolled in and attending school, pursuing a PhD or Master's in Statistics, Economics, Computer Science, Operations Research, Finance, Mathematics or other related quantitative field.

• Master's applicants must have at least two years of full-time modeling/machine learning development experience.
• PhD applicants must have passed all basic qualification examinations to reach "PhD Candidacy" status (or the equivalent for their university)

Desired Experience

• Research experience in one or more of the following:

• Machine Learning/Artificial Intelligence
• Non-linear Dimension reduction
• Clustering and other unsupervised techniques

• Computer Vision
• Causal AI/inference
• Time Series (multivariate and ML approaches preferred)
• Survival Analysis
• Natural Language Processing

• Proficiency in at least one analytical programming tool (Python or R)
• Competency in standard database concepts and ability to directly query and join tables via code (E.g.: SQL, Tidyverse, Pandas)
• Strong analytical skills coupled with business acumen, and an ability to think strategically in an ambiguous environment
• Experience with healthcare data is a plus.
• Excellent communication (written & verbal), interpersonal influencing skills and prioritization skills with attention to detail

• Ability to translate technical work for business partners.

Additional Benefits:

• All interns will be considered for full-time positions based on their internship performance and the business need
• Lilly arranges various intern activities including sporting events, dinners, lunch and learns, etc. to provide opportunities for socializing, professional development, and learning more about Lilly.
• Interns will receive a competitive salary and free parking at their work site, as well as access to Lilly's LIFE fitness center and bike garage

• If the intern's job position requires a move from another location, Lilly will provide travel arrangements and subsidized housing

Eli Lilly and Company, Lilly USA, LLC and our wholly owned subsidiaries (collectively "Lilly") are committed to help individuals with disabilities to participate in the workforce and ensure equal opportunity to compete for jobs. If you require an accommodation to submit a resume for positions at Lilly, please email Lilly Human Resources ( Lilly_Recruiting_Compliance@lists.lilly.com ) for further assistance. Please note This email address is intended for use only to request an accommodation as part of the application process. Any other correspondence will not receive a response.
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Our employee resource groups (ERGs) offer strong support networks for their members and help our company develop talented individuals for future leadership roles. Our current groups include: Africa, Middle East, Central Asia Network, African American Network, Chinese Culture Network, Early Career Professionals, Japanese International Leadership Network (JILN), Lilly India Network, Organization of Latinos at Lilly, PRIDE (LGBTQ + Allies), Veterans Leadership Network, Women's Network, Working and Living with Disabilities. Learn more about all of our groups.
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