Gain exposure to LLMs, AI agents, and applied ML concepts, with mentorship and context provided by the team
Stakeholder Interaction & Enablement
Collaborate with team members and stakeholders from different functions
Support documentation, analysis summaries, and clear communication of results
Participate in workshops, reviews, or working sessions when relevant
What We’re Looking For (Strong Baseline Required)
Technical Skills (Core)
Strong foundation in Data Analytics
Solid working knowledge of Power BI (modeling, visuals, basic DAX preferred)
Experience with Python and/or SQL for data analysis and transformation
Comfortable working with datasets
AI / ML Background (Preferred)
Experience designing, executing, or contributing to machine learning projects (academic or personal projects count)
Understanding of basic ML concepts (e.g., features, training, evaluation)
Interest in how ML and LLMs are applied in real business contexts
Interpersonal & Organizational Skills
Clear, structured communicator — able to explain work and ask good questions
Comfortable working with multiple stakeholders and changing priorities
Organized, accountable, and able to manage tasks with guidance but without constant supervision
What Will Help You Succeed in This Role
Curiosity and willingness to learn in a complex environment
Comfort navigating ambiguity while maintaining analytical rigor
Ability to balance technical depth with practical business needs
Openness to feedback and continuous improvement
Work Location Assignment: On Premise
EEO (Equal Employment Opportunity) & Employment Eligibility
Pfizer is committed to equal opportunity in the terms and conditions of employment for all employees and job applicants without regard to race, color, religion, sex, sexual orientation, age, gender identity or gender expression, national origin, or disability.
To learn more about acceptable and prohibited uses of AI during the recruitment process, please review our candidate AI-use guidelines available on Pfizer Careers.
Support Services
