Eli Lilly Internship 2024; Hiring Intern Data Scientist – Apply Now

Their 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. They 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 their commercialization of new products.

Name of the Organization: Eli Lilly

Requisition ID: R-70449

Positions: Intern Data Scientist

Location: Bangalore

Salary: As per company Norms

Required Skills & Qualifications:

• Masters / PhD in Information Science (IS), Electronics OR related Engineering and Analytics discipline.
• Vivid learner, with strong interest to experiment on new ideas without fear of failure. Possesses a curious nature driven by the thought of continuously learning.
• Willingness to learn any technology across the IT software spectrum, including Data analytics in the area of Computer Science, Computer Engineering, Mathematics, or related field with specialization in machine learning, NLP, deep learning, computer vision, data science or related fields.
• Research experience related to machine learning, deep learning, NLP, computer vision, data science
• Published and/or presented papers at ICASSP, ICML, NIPS, KDD, CVPR or similar top-tier conferences and events
• Good reasoning, attention to detail, critical thinking, and analytical ability
• Excellent interpersonal skills, including the ability to build professional networks with diverse groups of individuals and to work effectively within geographically dispersed teams and partners.
• Ability to assemble, share and apply key learnings across multiple projects
• Ability to think differently, and quickly run with an idea, socialize the idea within the product stakeholder community and build a prototype and productize it.
• Ability to work well independently and as part of a diverse team, being in Team spirit.

Responsibilities:

• Opportunity to work on a specific project critical to Lilly’s needs with opportunities to gain experience across a broad range of cutting-edge technologies and across the full stack of software engineering challenges.
• Work within an existing Advanced analytics teams and collaborate to help to solve problems within that team's focus.
• Communicate effectively and be motivated to achieve results as part of your team.
• Get mentored by the best data scientists of our Advanced analytics group.
• Great opportunity to learn the Pharma domain and new Tech stack as we would encourage you to invest good amount of your time on learning’s and trainings.

 

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