Lilly | ML Ops Analyst Intern

Eli Lilly and Company logo. (PRNewsFoto, Eli Lilly and Company) (PRNewsfoto/Eli Lilly and Company)
  • Eligibility : Bachelor’s degree or master’s degree in technology, Statistics or Computer Science background
  • Job Role: ML Ops Analyst Intern ||
  • Job Location :Bengalore, India||
  • Batch: 2020, 2021, 2022||
  • Salary : As per industry standards||
  • About company : 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 35,000 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.

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 35,000 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.

LCCI OmniChannel Execution: ML Operations Analyst (Intern)

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 39,000 employees around the world work to discover and bring life-changing medicines to those who need them, improve the understanding and management of disease. We’re looking for people who are determined to make life better for people around the world

As Lilly strives to achieve these objectives, we have embarked on building and in-housing a state-of-the-art “recommendation engine” platform to enable more agile sales and marketing operations. This platform will

– ingest a wide variety of data sources,

– run advanced personalization models

– and integrate seamlessly with all other Lilly operations platforms

to provide recommendations on “what should we do next” to the sales and marketing teams at the individual doctor level, enabling better decision making and improving customer experience.

Core Responsibilities:

As part of this team, we are looking for analysts who will use variety of data (including customer 360, market and product sales, prior channel activity and affinities etc) to maintain, update, assess and fine tune the performance of the underlying machine learning algorithms that drive personalized recommendations for all key brands for Lilly in the US.

  • Maintain stable and scalable solutions to extract data from diverse systems, cleanse and transform extremely large data sets into actionable business information
  • Writing and tuning complex SQL queries in a highly dynamic environment
  • Utilize knowledge of ML techniques (esp. Neural networks and Genetic Algorithms) to ensure that models are updated that models being used for the recommendation engine are to some extent “explainable”
  • Use knowledge of therapeutic area, market events, customer universe and available activity and affinity data, along with guidance from the Advanced Analytics and Data Science team (AADS) to implement alternate advanced analytical and statistical techniques as and when needed to test and validate models embedded in the personalization platform


Skills and expectations:

  • 0-2 hands-on experience with handling data with strong coding experience in R or Python
  • Creative problem solving, organization, attention to detail, flexibility and adaptability
  • Willingness to learn and deploy ML models; agility in learning to communicate complex analytics concisely
  • Demonstrated ability to meet deadlines while managing multiple large-scale projects in a fast-paced and rapidly changing environment
  • Ability to execute and innovate in a highly dynamic environment, including strong prioritization and attention to detail
  • Excellent communication (written & verbal) skills

A plus if you have:

  • Prior experience using ML techniques to deploy, assess performance and fine tune recommendation engine models (CNN/RNN, GA, XGBoost etc..)
  • Familiarity with cloud technology such as AWS and knowledge of AWS tools, esp Sagemaker, Quicksight, Redshift, Glue, Athena; viz tools like Tableau and PowerBI will be a plus

Education:

  • Bachelor’s degree or master’s degree in technology, Statistics or Computer Science background

Eli Lilly and Company, Lilly USA, LLC and our wholly owned subsidiaries (collectively “Lilly”) are committed to help individuals with disabilities to participate in the workforce and ensure equal opportunity to compete for jobs. If you require an accommodation to submit a resume for positions at Lilly, please email Lilly Human Resources ( [email protected] ) for further assistance. Please note This email address is intended for use only to request an accommodation as part of the application process. 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.

To submit resume, visit https://www.lilly.com/careers and apply to Req ID R-21081.

Apply Link : https://careers.lilly.com/job/bengaluru/ml-ops-analyst-intern/410/16943650912

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