Data Scientist, Machine Learning

Trinity Life Sciences; Haryana; On-site; INR 600,000 - 900,000; Full time

Job summary

Trinity Life Sciences seeks a data analytics professional in India to drive data-driven decisions for diverse clients. You will collaborate with project leadership to define scope and manage end-to-end implementations, applying advanced statistical, econometric, and optimization models to real-world business problems.

The role requires hands-on experience with Python/R/SAS, PySpark, SQL, and BigQuery, plus strong problem-solving and stakeholder management skills.

Qualifications

• Proficient in data analysis to support business decisions.
• Strong project leadership and end-to-end implementation experience.
• Expertise in statistical, econometric and optimization methods.

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

Data analysis

Project leadership

Statistics

Econometrics

Optimization

Model development

Problem solving

Python

R

SAS

Stakeholder mgmt

Project mgmt

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