Eli Lilly and Company is hiring for a Data Scientist Intern

Position:

Intern – Data Scientist

Company:

Eli Lilly and Company

Location:

LCCI Bengaluru, Bangalore, Karnataka, India

Job Type:

Full Time, Temporary (Fixed Term)

Job Mode:

Onsite

Job Requisition ID:

R-69466

Years of Experience:

• Not specified

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Company Description:

• Global healthcare leader headquartered in Indianapolis, Indiana.
• Mission to improve lives through life-changing medicines.
• Focus on understanding and managing diseases.
• Strong commitment to philanthropy and volunteerism.
• Diverse workforce with a dedication to making a global impact.
• Innovative approach to drug discovery, development, manufacturing, and commercialization.
• Emphasis on machine learning, artificial intelligence, natural language processing, and predictive modeling.
• Collaborative environment encouraging continuous learning and development.

Profile Overview:

• Position involves contributing to the design, development, and maintenance of Lilly’s analytics stack and products.
• Responsibilities include investigating, learning, analyzing, designing, researching, prototyping, and implementing IT system capabilities.
• Required to be a vivid learner with a strong interest in experimenting with new ideas.
• Must have a curious nature driven by continuous learning.
• Open to learning various technologies across the IT software spectrum.
• Research experience in machine learning, deep learning, NLP, computer vision, and data science is essential.
• Preferred candidates have published or presented papers at top-tier conferences.
• Strong analytical ability, attention to detail, and critical thinking skills are necessary.
• Excellent interpersonal skills to build professional networks and work effectively within diverse teams.
• Ability to assemble, share, and apply key learnings across multiple projects.
• Capacity to think differently and quickly prototype ideas.
• Ability to work independently and as part of a team.

Qualifications:

• Masters/PhD in Information Science, Electronics, or related Engineering and Analytics discipline.
• Strong motivation and willingness to learn any technology across the IT software spectrum.
• Specialization in machine learning, NLP, deep learning, computer vision, data science, or related fields.
• Experience in research related to machine learning, deep learning, NLP, computer vision, and data science.
• Published or presented papers at conferences like ICASSP, ICML, NIPS, KDD, CVPR, or similar.
• Good reasoning, attention to detail, critical thinking, and analytical ability.
• Excellent interpersonal skills for building professional networks and working in diverse teams.
• Ability to assemble, share, and apply key learnings across projects.
• Innovative thinking and quick prototyping abilities.
• Team spirit and ability to work independently and collaboratively.

Additional Info:

• Opportunity to work on critical projects with a broad range of cutting-edge technologies.
• Experience across the full stack of software engineering challenges.
• Collaboration within existing advanced analytics teams to solve specific problems.
• Effective communication and motivation to achieve results.
• Mentorship from experienced data scientists in the Advanced Analytics group.
• Learning opportunities in the Pharma domain and new technology stacks.
• Encouragement to invest time in learning and training.
• Commitment to helping individuals with disabilities participate in the workforce.
• Equal opportunity employer without discrimination based on age, race, color, religion, gender, sexual orientation, gender identity, gender expression, national origin, protected veteran status, disability, or any other legally protected status.
• Support for accommodation requests during the application process via Lilly Human Resources.
• Lilly promotes a diverse and inclusive work environment.

Please click here to apply.

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