Data Analytics & AI Innovation Intern
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Key details
Job Description
About the Role
We are looking for a highly motivated Data Analytics & AI Innovation Intern to support the Commercial Excellence & Innovation (CEI) team. This role is ideal for a student with a strong foundation in data analytics, Power BI, Power Query and programming (Python and/or SQL) who is interested in applying data and AI to real commercial business problems in a regulated, enterprise environment.
You will contribute to live dashboards, analytics initiatives, and AI-enabled solutions, working closely with multiple stakeholders across commercial, data, and digital teams. This is a hands-on role with real deliverables — not a shadowing or observational internship.
What You Will Work On
Data Analytics & Visualization
- Support the development, maintenance, and improvement of Power BI dashboards and Power Query Processes used for commercial decision-making
- Analyze datasets to identify data quality issues, inconsistencies, and improvement opportunities
- Translate business questions into analytical views and dashboards, with guidance from CEI
Programming & Data Handling
- Use Python and/or SQL to: Prepare and transform datasetsAutomate recurring analyses where relevantSupport analytical prototyping
- Work with structured and semi-structured data in a real enterprise setting
AI & Advanced Analytics Exposure
- Contribute to AI- and analytics-driven initiatives, including: Understanding and supporting ML or predictive analytics projectsAssisting in the design or testing of AI- and agent-based solutions
- 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.
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