Data Analytics & AI Innovation Intern
About this opportunity
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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Job details
How this role compares
Computed from every other active Data & Digital role in our database, not just this employer's listings.
We currently track 70 comparable Intern/Fellow/Postdoc Data & Digital roles across 22 biopharma companies.
Salary context
10 of 70 peers report a salary range (USD, annualized)
Peers share this role's job function and a matching or adjacent seniority level -- not necessarily the same therapeutic area or country.
Where these roles are based
Top locations among the 70 comparable roles
+ 14 more countries
Seniority mix
70 of 70 peers have a known seniority level
Therapeutic area mix
0 of 70 peers have a known therapeutic area; the rest are genuinely unlabeled, not hidden
No peers with a known therapeutic area yet.
Similar opportunities
The closest matches from our peer group, ranked by how similar they are, not how well you'd qualify for them -- treat this as market context, not a guaranteed shortlist; a weak match is labeled as one below.
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How we calculate "similar"
No black box, no LLM guesswork: a deterministic score built from four normalized attributes. Here's this role's own peer group at different match levels, so you can see the mechanism, not just the result.
Every comparison starts from the same 100-point budget: 25 for working in the same function, 40 for the same therapeutic area, 20 for the same or adjacent seniority, 15 for the same country. A dimension we can't confirm on both sides contributes nothing, never a guess, never a free pass.
0 points, never a partial guess. A role we know almost nothing about beyond its function bottoms out at 25%; it never inflates to 100% just because there's little to compare against. Seniority uses a defined ladder (Associate → Manager → Associate Director → Senior → Principal → Director → Senior Director → Executive/VP) so "Director" and "Senior Director" count as adjacent, but "Director" and "Executive/VP" do not.