Gen AI Data Scientist

Sigma Allied Services; Pune District, Gurugram District, Bengaluru; Hybrid; INR 1,200,000 - 2,400,000; Full time

Job summary

Sigma Allied Services in India seeks a senior GenAI professional to design and deploy GenAI and Agentic AI solutions across Life Sciences, Pharma, Healthcare, Banking and Insurance. Location coverage includes Bangalore, Gurgaon and Pune.

You will work with datasets such as Komodo, RAVE, IQVIA, Truven, Optum and apply advanced statistical modeling, ML, segmentation and time-series techniques using Python, SQL and Spark. Visualization via Power BI or Tableau is essential.

Qualifications

• Bachelors or Master’s degree in a quantitative field.
• 4+ years of GenAI/Agentic AI solutions experience across Life Sciences/Pharma/Healthcare/Banking/Insurance.
• Hands-on experience with datasets such as Komodo, RAVE, IQVIA, Truven, Optum.
• Proficiency in Python, SQL, Spark; strong statistical modeling and ML skills.

Responsibilities

• Develop and deploy GenAI and Agentic AI solutions for multiple domains.
• Execute projects in Life Sciences, Pharma, Healthcare, Banking and Insurance.
• Work with datasets like Komodo, RAVE, IQVIA, Truven, Optum; build models and analyses.
• Create visualizations using Power BI or Tableau and share insights with stakeholders.
• Collaborate with cross-functional teams to deliver outcomes.

Skills

GenAI

RAG

Agentic AI

Python

SQL

AI/ML

Visualization

Spark

Education

Statistics

Data Science

Applied Mathematics

Business Analytics

Computer Science

Information Systems

Tools

Power BI

Tableau

Job description

Role & responsibilities

Location: Bangalore/Gurgaon/ Pune

Must-have skills: GenAI, RAG, Agentic AI, Python, SQL, AI/ML, Visualization (Power BI or Tableau)

• Bachelors or Master’s degree in Statistics, Data Science, Applied Mathematics, Business Analytics, Computer Science, Information Systems, or other Quantitative field.

• Extensive GenAI expertise with a track record of creating and deploying GenAI and Agentic AI solutions.

• Proven experience (4+ years) in working on Life Sciences/Pharma/Healthcare/Banking/Insurance projects and delivering successful outcomes.

• Hands-on experience with handling Datasets like Komodo, RAVE, IQVIA, Truven, Optum etc.

• Hands-on experience in building and deployment of Statistical Models/Machine Learning including Segmentation & predictive modeling, hypothesis testing, multivariate statistical analysis, time series techniques, and optimization.
• Proficiency in Programming languages such as Python, SQL, Spark, etc.

Preferred candidate profile

Max 27 + Variable for Life science Domain

Max 25 + Variable for Banking/Insurance Domain