Job Description
Lilly
Data Scientist Intern
Intern
Bangalore, Karnataka, India
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.
Any Degree
Freshers
1. 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.
2. 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.
3. Research experience related to machine learning, deep learning, NLP, computer vision, data science
4. Published and/or presented papers at ICASSP, ICML, NIPS, KDD, CVPR or similar top-tier conferences and events
5. Good reasoning, attention to detail, critical thinking, and analytical ability
6. 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.
7. Ability to assemble, share and apply key learnings across multiple projects
8. 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.
9. Ability to work well independently and as part of a diverse team, being in Team spirit.
1. Defining and executing data collection strategies to gather relevant information
2. Ensuring data privacy and compliance with relevant regulations
3. Developing and maintaining data pipelines and infrastructure
4. Keeping up-to-date with the latest developments in data science and machine learning
5. Providing guidance and mentorship to junior data scientists and analysts
Great opportunity to learn the Pharma domain and new Tech stack as we would encourage you to invest good amount of your time on learnings and trainings.
