Senior Commercial Data Science Manager

GSK•Philadelphia, PA

About The Position

GSK’s Data & Analytics team integrates, simplifies, and unlocks data to drive innovation and decision-making. The Senior Commercial Data Science Manager leads a team of 2–4 data scientists and engineers, delivering analytics and insights for the US commercial oncology business at the patient, HCP, and health-system levels. The work uses AI/ML, statistical models, and enterprise data platforms to address commercial analytical priorities and improve understanding of patient needs and HCP prescribing patterns. The role partners with business stakeholders and reporting owners to develop analytics automation and agent-based AI tools, establish project plans and deliver milestones, and support data-driven decisions. It also contributes to GSK’s data science community, promotes best practices and data science literacy, and uses storytelling and visualizations to communicate recommendations across teams.

Requirements

Master’s or PhD in statistics, mathematics, engineering, or a related analytical field.
At least 5 years of experience applying analytics and statistical skills in a business setting.
At least 3 years of professional experience with analytics tools or languages and visualization tools.
Experience with SQL, Python, PySpark, and visualization tools.
Experience working in cloud compute environments and with Databricks or Snowflake data platforms.
Experience coding statistical and machine-learning models.
Experience developing and deploying AI agentic processes.
Ability to proactively identify areas for analysis, including potential machine-learning applications, and contribute to problem-solving.

Nice To Haves

Enthusiasm for leveraging Real World Data.
Analytical curiosity and ability to develop innovative solutions to complex problems.
Effective communication skills and strong business acumen.
Understanding of business needs and ability to develop appropriate solutions.
Teamwork skills and ability to build collaborative partnerships.
Familiarity with healthcare datasets, such as claims data from IQVIA or Komodo Health.
Experience modeling treatment line of therapy, conducting patient-journey analysis, and prioritizing HCPs.

Responsibilities

Manage a team of 2–4 data scientists and engineers.
Develop and deliver analytics and insights using AI/ML and statistical models for the US commercial oncology business, including customer segmentation, brand performance reporting, predictive patient modeling, propensity score modeling, sentiment analysis, marketing mix modeling, omnichannel analytics, resource allocation and budget optimization, and experimental-design analyses.
Develop, deploy, maintain, and monitor analytics automation in enterprise data platforms within a CI/CD framework.
Partner with commercial business reporting owners to develop agent-based AI tools for analytics automation, delivery and visualization of insights, and business-focused data interrogation.
Identify data science opportunities and develop innovative solutions to uncover patient unmet needs and HCP prescribing patterns.
Contribute to GSK’s data science community, establish best practices, and grow data skills and data science literacy within the organization.
Build stakeholder trust and drive data-driven decisions through engagement, analytics expertise, learning, and business knowledge.
Establish project plans, proactively obtain required inputs, and deliver results and milestones according to plan.
Collaborate with cross-matrix teams and other functions to improve efficiency and support seamless decision-making.
Use storytelling and visualizations to communicate data science findings and enable fact-based recommendations.