Home
Communities
Companies
- Companies
  
  Discover best places to work
- Compare Companies
  
  Compare & find best workplace
- Add Office Photos
  
  Bring your workplace to life
- Add Company Benefits
  
  Highlight your company's perks
Reviews
- Company reviews
  
  Read reviews for 6L+ companies
- Write a review
  
  Rate your former or current company
Salaries
- Browse salaries
  
  Discover salaries for 6L+ companies
- Salary calculator
  
  Calculate your take home salary
- Are you paid fairly?
  
  Check your market value
- Share your salary
  
  Help other jobseekers
- Gratuity calculator
  
  Check your gratuity amount
- HRA calculator
  
  Check how much of your HRA is tax-free
- Salary hike calculator
  
  Check your salary hike
Interviews
- Company interviews
  
  Read interviews for 40K+ companies
- Campus placements
  
  Interviews questions for 2K+ colleges
- Share interview questions
  
  Contribute your interview questions
Jobs
Awards

WINNERS AWAITED!
- ABECA 2025
  
  WINNERS AWAITED!
  
  AmbitionBox Employee Choice Awards - 4th Edition
- ABECA 2024
  
  AmbitionBox Employee Choice Awards - 3rd Edition
- AmbitionBox Best Places to Work 2022
  
  2nd Edition
- AmbitionBox Best Places to Work 2021
  
  1st Edition

Add office photos

Employer? Claim Account for FREE

Eli Lilly and Company

Compare

3.8

based on 436 Reviews

Video summary

73 Eli Lilly and Company Jobs

Senior Scientist

Eli Lilly and Company

3.8

based on 436 Reviews

3-6 years

Bangalore / Bengaluru

1 vacancy

Senior Scientist

Eli Lilly and Company

posted 1mon ago

Job Role Insights

Flexible timing

Key skills for the job

Pharmacy Python SQL Artificial Intelligence Healthcare Machine Learning

+ 3 more

Job Description

We are seeking a highly skilled Data Scientist with Data Engineering expertise to join our AADS team and work closely with the Japan affiliate. Candidate should have a strong background in machine learning, statistical analysis, and data engineering, wit h experience in handling large healthcare datasets. As a senior scientist, you will work closely with cross-functional teams ( Japan s MR team, all brand marketing teams, NPP team, Finance team, etc ) to develop data-driven solutions that enhance business decision-making, optimize commercial operations, and drive insights for marketing and sales strategies.

Serve as trusted advisor by actively participating in various phases of the projects (including kick-off, methodology development, execution, insight generation and data visualizations)
Effectively communicate with stakeholders to present the final outcomes and provide recommendations as needed
Build deep expertise on statistical/AI/ML techniques combined with strong knowledge of the commercial pharma business and the problems that are being solved by data and analytics
Interface with the cross functional partners across the organization, including data engineering, data analytics, data science, IT, and other groups to adopt efficient working models and deliver on high impact projects
Network with industry experts and external consultants as needed to develop, test, and implement new approaches and solutions for data science capabilities at LCCI

3-6 years of relevant work experience with demonstrated experience of working as data scientist.
Strong foundational understanding in applied statistics
Extensive experience working on the areas of machine learning and artificial intelligence, deep learning, natural language processing and other approaches to structured/unstructured data.
Proficiency in R and SQL (experience with Python is a plus)
Strong analytical and problem-solving skills to be able to structure and solve open ended business problems (pharma experience is highly preferred)
Experience with practical implementation of emerging AI and ML research concepts highly preferred
Familiarity with data visualization tools like Tableau, Power BI and experience with SQL and NoSQL databases.
Excellent Communication Skills required to explain complex data insights to non-technical stakeholders.
Experience with AWS cloud services (S3, EC2, Lambda, Glue, EMR, RDS) is preferred.