Senior Data Scientist – Pharma Commercial Analytics

Confidential Client; Bengaluru; Hybrid; INR 1,500,000 - 2,100,000; Full time

Job summary

Confidential Client in Bengaluru seeks a Consultant / Senior Analyst for Healthcare Analytics & Advanced Analytics. The role requires 4-7 years of experience, a hybrid work mode, and India-based work location.

The candidate should have hands-on Python, SQL, and healthcare data familiarity, including claims or EHR data. You will apply ML and advanced analytics, handle large datasets, segment healthcare entities, analyze promotional ROI, and present business-ready insights to stakeholders across

Qualifications

• Strong hands-on Python and SQL with analytics experience.
• Experience with healthcare data sources and pharma/LS domain.
• Knowledge of advanced analytics and ML techniques.
• Excellent communication and presentation skills for stakeholders.

Responsibilities

• Guide client-facing stakeholders with analytics approaches and insights.
• Handle large datasets and select the right tools for processing.
• Deliver healthcare consulting projects: segmentation, ROI, optimization, analytics.
• Apply ML techniques: regression, time series, NLP, and related methods.
• Present findings and recommendations to business stakeholders.
• Support data science proposals and feasibility discussions for AI/ML solutions.
• Ensure efficient and on-time project delivery that meets client expectations.

Skills

Python

SQL

Advanced Analytics

ML

Healthcare consulting

Healthcare data sources

Excel

PowerPoint

Tools

Tableau

Power BI

Azure

AWS

GCP

Hadoop

MIDAS

Job description

Updated Job Description

Role: Consultant / Senior Analyst - Healthcare Analytics & Advanced Analytics
Work Experience: 4-7 years
Work Location: Bangalore
Work Mode: Hybrid

Must-Have Skills

• Python (strong hands-on proficiency); SAS or R is an advantage
• SQL for data extraction and manipulation
• Advanced Analytics and applied ML
• Healthcare consulting experience, with demonstrated Pharma/Life Sciences domain expertise
• Working knowledge of healthcare data sources, such as patient-level data (claims, EMR/EHR, Rx) and IQVIA MIDAS
• Advanced Excel and PowerPoint

Good-to-Have Skills

• HCP / Pharmacy / Hospital segmentation and targeting
• Commercial analytics (promotional ROI, sales force effectiveness, forecasting)
• Data visualization tools: Tableau, Power BI
• Experience developing and deploying scalable AI/ML solutions on the cloud (Azure, AWS, GCP, Hadoop)
• Exposure to Generative AI

Principal Accountabilities

• Build a strong understanding of consumer offerings, proprietary databases and analytical approaches to guide and support client-facing stakeholders globally.
• Handle small and large datasets efficiently, choosing the right technology for processing (Python, R, SAS, SQL, etc.), and act as a champion for analytics technologies within the team.
• Deliver healthcare consulting projects such as:
  • Segmentation and targeting of pharmacies, physicians and hospitals
  • Promotional return (ROI) analysis
  • Resource and price optimization
  • Commercial analytics using patient-level and market-level datasets (e.g., MIDAS)
• Apply advanced analytics and ML techniques, including linear and non-linear regression, hierarchical models, Bayesian methods, time series forecasting, RNN, CNN, LSTM and NLP.
• Present findings and recommendations to stakeholders from a business point of view.
• Support the development of data science and advanced analytics proposals, present them to leadership, and lead discussions on the feasibility of AI/ML solutions for business processes and outcomes.
• Ensure efficient and effective project delivery that meets team and client expectations.

Specialized Skills and Competencies

• Proficiency in Python, with SQL and SAS/R as advantages, plus MS Excel and PowerPoint (mandatory)
• Ability to combine technical depth with healthcare domain knowledge to translate data into business insights
• Ability to work independently and collaboratively across teams to achieve shared goals
• Highly motivated, eager to learn and ready to take on new challenges
• Strong communication and presentation skills, with a focus on technical aspects and the ability to produce usable documentation