Data Scientist_AI/ML

Optum is a global organization that delivers care, aided by technology to help millions of people live healthier lives. The work you do with our team will directly improve health outcomes by connecting people with the care, pharmacy benefits, data and resources they need to feel their best. Here, you will find a culture guided by inclusion, talented peers, comprehensive benefits and career development opportunities. Come make an impact on the communities we serve as you help us advance health optimization on a global scale. Join us to start Caring. Connecting. Growing together. 

Primary Responsibility:

• Comply with the terms and conditions of the employment contract, company policies and procedures, and any and all directives (such as, but not limited to, transfer and/or re-assignment to different work locations, change in teams and/or work shifts, policies in regards to flexibility of work benefits and/or work environment, alternative work arrangements, and other decisions that may arise due to the changing business environment). The Company may adopt, vary or rescind these policies and directives in its absolute discretion and without any limitation (implied or otherwise) on its ability to do so

Minimum Criterion:

1.      Full Time Graduation as B.Tech/B.E./M.C.A./M.S.

2.      IT Specific Experience: 4+ years

3.      Very good communication skills

Mandatory Skill Set:

1.      Good Knowledge in Artificial intelligence core concepts – LLM, Open AI, Generative AI

2.      Good knowledge of machine learning concepts

3.      Hands on coding experience in Python

4.      Hands on working experience in Snowflake

5.      Handson working experience on Azure Cloud components like Azure Data Factory, Cosmos DB, App service, networking etc

6.      Hands on working experience on Azure Databricks

7.      Strong in SQL, writing queries, stored procedures, optimization etc.  

8.      DevOps Experience

Secondary Skills:

1.      API development

2.      Ability to work independently on multiple projects with minimum assistance.

3.      Stay updated with the latest cloud trends, technologies, and best practices.

4.      Contribute to team’s innovation and continual improvement efforts.

5.      Implement automation tools and frameworks for cloud deployments and maintenance.

6.      Healthcare knowledge will be an added advantage.