Senior Data Scientist

PeopleStrong; India; On-site; INR 2,500,000 - 4,000,000; Full time

Job summary

PeopleStrong is seeking a Senior Data Scientist with 4–7 years of experience in Pharma or Life Sciences Commercial Analytics to drive actionable insights for sales, marketing and market access. You will leverage advanced analytics, ML and statistical methods to support commercial decisions, while building robust data pipelines.

You will collaborate with cross-functional teams, develop predictive models, and create dashboards using Tableau or Power BI to communicate results to stakeholders.

Qualifications

• Bachelor's or master's degree in data science, Statistics, Computer Science, Mathematics, Engineering, or a related quantitative discipline.
• 4-7 years of experience in Data Science with a focus on Pharma or Life Sciences Commercial Analytics.
• Strong understanding of pharmaceutical commercial processes, including sales analytics, marketing analytics, customer analytics, and market performance measurement.
• Hands-on experience with machine learning algorithms, statistical analysis, and predictive modeling.
• Proficiency in Python or R for data analysis and model development.
• Strong SQL skills for data extraction and manipulation.
• Experience with data visualization tools such as Tableau or Power BI.
• Familiarity with cloud platforms (AWS, Azure, or GCP) is preferred.
• Understanding of Agile methodologies and version control tools such as Git is an advantage.

Responsibilities

• Develop predictive and descriptive analytical models to support commercial business objectives.
• Analyze large-scale healthcare, pharmaceutical, sales, claims, prescription (Rx), patient, and market data to uncover business insights.
• Build machine learning and statistical models for customer segmentation, targeting, forecasting, next best action, and campaign effectiveness.
• Design and implement data pipelines, feature engineering, and model validation processes.
• Collaborate with commercial stakeholders to translate business problems into analytical solutions.
• Create dashboards and visualizations to communicate findings effectively using BI tools.
• Monitor model performance and recommend improvements based on business feedback.
• Work with cross-functional teams including data engineering, business consulting, and commercial excellence teams.
• Ensure data quality, documentation, and adherence to data governance standards.

Skills

Python

R

SQL

ML Algorithms

Education

Bachelor's or Master's in Data Science/Statistics/CS/Mathematics/Engineering

Tools

Tableau

Power BI

AWS/Azure/GCP

Job description

Python SQL Machine Learning R Pharma - Commercial Analytics Clinical Data

Job Description

Job Description

We are looking for a highly motivated Senior Data Scientist with 4-7 years of experience in the pharmaceutical or life sciences domain, specializing in commercial analytics. The ideal candidate will leverage advanced analytics, statistical modeling, and machine learning techniques to generate actionable insights that support commercial decision-making, including sales, marketing, market access, and customer engagement.

Key Responsibilities

• Develop predictive and descriptive analytical models to support commercial business objectives.
• Analyze large-scale healthcare, pharmaceutical, sales, claims, prescription (Rx), patient, and market data to uncover business insights.
• Build machine learning and statistical models for customer segmentation, targeting, forecasting, next best action, and campaign effectiveness.
• Design and implement data pipelines, feature engineering, and model validation processes.
• Collaborate with commercial stakeholders to translate business problems into analytical solutions.
• Create dashboards and visualizations to communicate findings effectively using BI tools.
• Monitor model performance and recommend improvements based on business feedback.
• Work with cross-functional teams including data engineering, business consulting, and commercial excellence teams.
• Ensure data quality, documentation, and adherence to data governance standards.

Required Qualifications

• Bachelor's or master's degree in data science, Statistics, Computer Science, Mathematics, Engineering, or a related quantitative discipline.
• 4-7 years of experience in Data Science with a focus on Pharma or Life Sciences Commercial Analytics.
• Strong understanding of pharmaceutical commercial processes, including sales analytics, marketing analytics, customer analytics, and market performance measurement.
• Hands-on experience with machine learning algorithms, statistical analysis, and predictive modeling.
• Proficiency in Python or R for data analysis and model development.
• Strong SQL skills for data extraction and manipulation.
• Experience with data visualization tools such as Tableau or Power BI.
• Familiarity with cloud platforms (AWS, Azure, or GCP) is preferred.
• Understanding of Agile methodologies and version control tools such as Git is an advantage.