Engineer I, Data Scientist

Overview

Engineer I, Data Scientist role on the US Vaccines business, developing advanced analytics, machine learning and AI solutions over complex healthcare datasets, including AI agents and agentic workflows.

What you'll do

• Develop and deliver advanced analytics, machine learning, and statistical models across customer segmentation, impact measurement, omnichannel analytics, resource allocation and budget optimization, and experimental design and test/control analysis.
• Design and build AI agents and agentic workflows, including LLM-based solutions, to automate data extraction, model validation, and insight generation.
• Identify opportunities to apply machine learning and advanced analytics to complex business challenges and unmet patient needs.
• Analyze patient, HCP, health system, and other healthcare datasets to uncover actionable insights.
• Partner with business and analytics stakeholders to translate business needs into effective data science solutions.
• Develop project plans, identify required inputs, and deliver high-quality analytical solutions against agreed milestones.
• Collaborate across cross-functional teams and provide data science subject matter expertise.
• Communicate complex analytical findings through data storytelling and visualization, enabling data-driven decision-making.
• Contribute to data science best practices and knowledge sharing across the organization.

What you'll need

• Bachelor's degree with 5+ years of relevant industry experience.
• 5+ years of experience applying analytics, statistical methods, or data science techniques in a business environment.
• Strong proficiency in Python, SQL, PySpark, and data visualization tools.
• Experience developing and applying statistical and machine learning models.
• Hands-on experience building or deploying AI agents, agentic workflows, or LLM-based solutions to automate and scale elements of the AI/ML lifecycle.
• Ability to proactively identify analytical opportunities and apply machine learning and statistical approaches to solve complex problems.

Nice to have

• Experience working with Real World Data (RWD) and healthcare-related datasets.
• Familiarity with claims data, pharmaceutical retail data, co-administration analysis, and buy-and-bill processes.
• Exposure to healthcare datasets or sources such as Express Scripts, CVS Caremark, or IQVIA.
• Strong analytical curiosity with the ability to develop innovative solutions to complex problems.
• Strong communication and data storytelling skills, with the ability to translate analytical findings into business recommendations.
• Good business acumen and the ability to understand business needs and develop appropriate analytical solutions.
• Strong collaboration skills with experience working across cross-functional teams.

Details

• Location: Bengaluru Luxor North Tower.