Senior Commercial Data Science Manager

GSK

. Manage a team of 2–4 data scientists and engineers .

Posted 11/5/2026full-timePhiladelphia • Pennsylvania • United StatesSeniorWebsite

Core Competencies

Role fit

Core Competencies

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Expertise in managing data science teams and delivering analytics solutions using AI/ML and statistical models, with a strong focus on healthcare data and business insights. Proficient in developing and deploying data analytics automation within cloud environments and CI/CD frameworks.

Highest-signal resume keywords

AI/ML Model DevelopmentSQL ProficiencyPython ProgrammingData Analytics AutomationHealthcare Data Familiarity

ATS Keywords

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Applicant Tracking System Keywords

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Hard Skills

Statistical ModelingPredictive ModelingSentiment AnalysisMarketing Mix ModelingExperimental DesignData VisualizationMachine Learning ApplicationsTreatment-Line-Of-Therapy ModelingPatient Journey AnalysisHCP Prioritization

Soft Skills

Effective CommunicationAnalytical CuriosityTeamworkCollaborative PartnershipsBusiness Acumen

Tools & Technologies

DatabricksSnowflakeCI/CD FrameworksVisualization ToolsCloud Compute Environments

Certifications & Qualifications

Master's DegreePhD

Industry Keywords

OncologyReal World DataClaims DataPatient Unmet NeedsHCP Prescribing Patterns

Tech Stack

Tools & technologies

CloudPySparkPythonSnowflakeSQL

About the role

Key responsibilities & impact

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
Support customer segmentation, brand performance reporting, predictive patient modeling, propensity score modeling, sentiment analysis, marketing mix modeling, omnichannel analytics, resource allocation, budget optimization, and experimental design analyses
Develop, deploy, maintain, and monitor data analytics automation in enterprise data platforms within a CI/CD framework
Work with commercial business reporting owners to develop agent-based AI tools for analytics automation, insight delivery, visualization, and data interrogation
Identify data science opportunities to uncover patient unmet needs and HCP prescribing patterns
Contribute to GSK’s data science community, best practices, and organizational data science literacy
Build stakeholder trust and drive data-driven decisions through engagement, analytics expertise, learning, and business knowledge
Establish project plans, gather inputs, and deliver milestones according to plan
Collaborate on cross-matrix teams and provide subject matter expertise
Use storytelling and visualizations to communicate data-driven recommendations to business partners and analytics teams

Requirements

What you’ll need

Master's or PhD in statistics, mathematics, engineering or related analytical field
5+ years of experience applying analytics and statistical skills in a business setting
3+ years of professional experience with analytics tools/languages and visualization tools
Experience with SQL, Python, PySpark, and visualization tools
Experience working in cloud compute environments and Databricks or Snowflake data platforms
Experience coding statistical and ML models
Experience developing and deploying AI agentic processes
Proactively identify areas for analysis, including potential machine learning applications, and contribute to problem-solving
Enthusiasm for leveraging Real World Data
Analytical curiosity to develop innovative solutions to complex problems
Effective communication and strong business acumen
Understanding of business needs and ability to develop appropriate solutions
Teamwork and strong collaborative partnerships
Familiarity with healthcare-related datasets, such as claims data (e.g., IQVIA, Komodo Health)
Experience with treatment-line-of-therapy modeling, patient journey analysis, and HCP prioritization

Benefits

Comp & perks

Comprehensive benefits program for US employees
Accommodation or other assistance to apply
Equal opportunity employment