Intern Data Scientist
IN: Bengaluru - LCCI
Applications have closed
Eli Lilly and Company
Lilly is a medicine company turning science into healing to make life better for people around the world.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.
Our Purpose:
At Eli Lilly and Company, 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 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 are looking for people who are determined to make life better for people around the globe.
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!
Title: Intern – Data Scientist
Location: LCCI Bengaluru
Qualification and Eligibility criteria: Masters/PHd in Information Science (IS), Electronics OR related Engineering and Analytics discipline.
What we would look for: We are looking for highly motivated who will be contributing to the design, development and maintenance of Lilly’s Analytics related stack and products. In this role you will be required to investigate, learn, analyze, design, research, prototype and implement/deploy IT system capabilities and features using various cutting-edge and latest technology.
- 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.
Your Opportunities:
- 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 learnings and trainings.
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.
#WeAreLilly
Tags: Computer Science Computer Vision Data Analytics Deep Learning Econometrics Engineering ICML Machine Learning Mathematics NLP Pharma PhD Predictive modeling Research Statistics Unstructured data
Perks/benefits: Career development Conferences Team events
More jobs like this
Explore more career opportunities
Find even more open roles below ordered by popularity of job title or skills/products/technologies used.