Principal Data Scientist Full-time

GSK Data And Analytics Team Role

GSK is one of the world's pre-eminent pharmaceutical and healthcare companies. We take pride in leading a healthcare revolution. Through disruptive approaches in R&D and commercial business processes, our Data & Analytics team integrates, simplifies, and unlocks all our data. This drives innovation, decision-making, and allows us to better serve our patients, healthcare professionals, and consumers.

This role will provide you the opportunity to lead key activities to progress your career. Responsibilities include some of the following:

• Develop and deliver high quality, analytics and insights using ML and statistical models to uncover business learnings at the patient, HCP/EE segment, and health system level aligned with analytical priorities for:
  • Customer Segmentation
  • Impact Measurement
  • Omnichannel analytics
  • Resource Allocation and budget Optimization
  • Experimental design (test/control) analyses
• Understand data science opportunities, based on analytical knowledge and business acumen, needed to deliver innovative solutions; uncover drivers of business performance, customer behaviors, and patient treatment gaps to improve strategic opportunities.
• Act as a data science expert, by learning and contributing to GSKs' data science community to grow their data skills, build best practices, and grow data science literacy within the organization.
• Earn the trust of stakeholder partners and team members to drive data-driven decisions through active engagement, advanced analytics expertise, demonstrated learning, and business knowledge.
• Apply expertise with feature engineering, model training, and validation; work collaboratively on pipelines for data ingestion, productionized models, and ensure scalability, reproducibility, and effective monitoring.
• Establish and define project plans with success metrics, proactively seek inputs and requirements needed to complete analyses, and deliver milestones according to plan.
• Collaborate on cross-matrix teams and demonstrate subject matter expertise with other teams/functions to drive efficiency and seamless decision making.
• Recommend solutions and propose options with pros and cons to drive better data driven decision making. Translate analytical outputs into clear summaries for stakeholders demonstrating accountability for accuracy, quality, and timeliness of deliverables.
• Use storytelling, powerful visualizations to demonstrate power of utilizing data science with business partners and analytics team members which enable fact-based recommendations that inspire usage for data driven decisions.

Basic Qualifications:

• Bachelor's degree with 10+ yrs of industry experience, master's or PhD with 8+ yrs of industry experience.
• Proficiency in analytics tools/languages such as SQL, Python, PySpark, and visualization tools
• Proficiency in statistical and ML models
• Demonstrated skill in effective communication to technical and non-technical audiences; ability to present complex analyses simply.
• Prior work experience, proactively identifying areas for analysis including the application for machine learning, demonstrating analytic curiosity to develop innovative solutions to solve complex problems.

Preferred Qualifications:

• Enthusiasm for leveraging Real World Data
• Effective communicator w/ strong business acumen knowledge
• Understanding of business needs and ability to develop appropriate solutions
• Demonstrate teamwork and strong collaborative partnerships with experience mentoring junior data scientists
• Familiarity with healthcare-related datasets, such as claims data (e.g., IQVIA, Komodo, Optum), pharma retail data

Top skills to prioritize (Top 3–4):

• Machine learning & statistical modeling (incl. feature engineering, training, validation)
• Programming & data querying: Python, SQL (plus PySpark for large-scale data)
• Applied analytics for commercial/omnichannel use cases (segmentation, impact measurement, experimentation, optimization)
• Stakeholder communication & storytelling (translate insights for technical/non-technical audiences)

Why GSK?

Uniting science, technology and talent to get ahead of disease together.

GSK is a global biopharma company with a purpose to unite science, technology and talent to get ahead of disease together. We aim to positively impact the health of 2.5 billion people by the end of the decade, as a successful, growing company where people can thrive. We get ahead of disease by preventing and treating it with innovation in specialty medicines and vaccines. We focus on four therapeutic areas: respiratory, immunology and inflammation; oncology; HIV; and infectious diseases – to impact health at scale.

People and patients around the world count on the medicines and vaccines we make, so we're committed to creating an environment where our people can thrive and focus on what matters most. Our culture of being ambitious for patients, accountable for impact and doing the right thing is the foundation for how, together, we deliver for patients, shareholders and our people.

Inclusion at GSK:

As an employer committed to Inclusion, we encourage you to reach out if you need any adjustments during the recruitment process.

Please contact our Recruitment Team at IN.recruitment-adjustments@gsk.com to discuss your needs.