Data Scientist, Machine Learning

Trinity Life Sciences; Bengaluru Urban; On-site; INR 1,200,000 - 1,800,000; Full time

Job summary

Trinity Life Sciences in Bengaluru is seeking a data analytics professional to conduct both basic and advanced analyses and contribute to client-driven business decisions.

The role requires building statistical models, collaborating with project leaders, and applying techniques across pharma domains, with emphasis on stakeholder communication and timely delivery.

Qualifications

• Hands-on experience with Python, R and SAS.
• Experience with PySpark, SQL and BigQuery.
• Ability to develop and apply statistical models.
• Strong problem solving and quantitative skills.

Responsibilities

• 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, requirements 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

Skills

Problem solving

Quantitative skills

Python

R

SAS

Stakeholder management

Project management

Tools

PySpark

SQL

BigQuery

Job description

• 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, requirements 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