Eli Lilly & Company is looking for a

Data Scientist Intern

Internship Overview

  • Posted 4 weeks ago
  • Full-time
  • Onsite
  • Bangalore

Stipend & Benefits

  • Fixed hours
  • 5 days work week
  • Offers certificate

Skills Required

  • Data Analytics, Natural Language Processing (NLP)

Roles & Responsibilities

Eli Lilly & Company is hiring for the role of Safety Management Intern!

Responsibilities for the Intern:

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 the full stack of software engineering challenges.

Work within an existing Advanced analytics team and collaborate to help 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 in our Advanced analytics group.
Great opportunity to learn the Pharma domain and new Tech stack as we would encourage you to invest a good amount of your time in learning and training.

Vivid learner, with a strong interest in experimenting with 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 fields 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 build a prototype, and productize it.
Ability to work well independently and as part of a diverse team, being in Team spirit.

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