Engineer 1, Data Scientist

Job Purpose:

As Engineer I, Data Scientist, you will develop advanced analytics, machine learning, and AI solutions for the US Vaccines business. You will work with complex healthcare datasets, build scalable analytical solutions, and partner with cross-functional stakeholders to translate data into actionable business insights.

The role also offers the opportunity to develop AI agents and agentic workflows, helping automate and scale the AI/ML lifecycle from data preparation and model validation through insight generation.

Key Responsibilities:

• Develop and deliver advanced analytics, machine learning, and statistical models across areas including:
  • Customer segmentation
  • Impact measurement
  • Omnichannel analytics
  • Resource allocation and budget optimization
  • 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 compelling data storytelling and visualization, enabling data-driven decision-making.
• Contribute to data science best practices and knowledge sharing across the organization.

Required Qualifications:

• 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.

Preferred Qualifications

• 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.

#AGTech

Skills

Algorithms, Data Assessment, Data Cleansing, Data Preprocessing, Exploratory Data Analysis (EDA), Hypothesis Testing, Mathematics Modeling, Model Evaluation, Predictive Modeling, Probabilistic Modeling, Reliability Engineering, Statistical Analysis, Statistical Analysis Techniques, Statistical Significance Testing

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 [email protected] to discuss your needs.

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