Data Scientist, Machine Learning
Blueprint Research Group
Blueprint Research Group is hiring a Data Scientist, Machine Learning in Gurugram, India. The details below summarise the employer's own listing; applications happen on the original posting, not on GetFirstJob.
What the work involves
- Conduct simple and advanced data analysis to help clients make good business decisions
- Work with project leadership to define project scope and manage end to end implementation
- Apply advanced statistical, econometric, optimization models and algorithms to real-world business problems
- Develop new statistical models as well as provide analysis using existing models
- Maintain the highest standards to follow the best practices and trending analytics in pharma domain
- Work with internal business teams to understand problem statement,
What they are looking for
- and use cases
- Excellent Problem Solving & Quantitative skills, Hands on experience on Python/R/SAS
- Experience in tools like Pyspark, SQl, Big Query
- Ability to create a model & simulation tool from scratch
- Should be comfortable interacting and managing stakeholders both external and internal
- Should be good in project management and ensuring timelines and quality is met
- Disclaimer: This job posting has been aggregated from external source
- Role details, content, and availability are subject to change
Pay and dates
The listed pay is Not Disclosed. The source page shows a relative posting age rather than an exact posting date; this role was first seen and checked as open on 4 November 2026. The source page showed it as posted “1 day ago” when captured; that is a relative stamp, not an exact date.
How to apply
Apply on the listing where the employer published this role: Data Scientist, Machine Learning at Blueprint Research Group. We found this listing via naukri.com; it was still open when we checked on 4 November 2026. If the posting has closed or the link fails, the role may have been filled.
This is our short summary of the employer's listing. The full description, eligibility and deadline are on the employer's page.