Pfizer Jobs

Data Analytics & AI Innovation Intern

Pfizer

Data Analytics & AI Innovation Intern

Posted Yesterday

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Suba, Bogotá D.C., Distrito Capital, COL

In-Office

Internship

Artificial Intelligence • Healthtech • Machine Learning • Natural Language Processing • Biotech • Pharmaceutical

We’re in relentless pursuit of breakthroughs that change patients’ lives.

The Role

Supports the Commercial Excellence & Innovation team by developing and maintaining Power BI dashboards, transforming data with Power Query, Python, and SQL, identifying data-quality issues, and translating business questions into analytics. Contributes to AI, machine-learning, predictive analytics, and LLM initiatives while collaborating with commercial, data, and digital stakeholders. The role also includes documentation, analysis summaries, workshops, and communicating results in a regulated enterprise environment.

Summary Generated by Built In

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 .
Support Services

Skills Required

Strong foundation in data analytics
Working knowledge of Power BI, including modeling and visuals
Experience with Python and/or SQL for data analysis and transformation
Comfort working with structured and semi-structured datasets
Clear, structured communication skills
Ability to collaborate with multiple stakeholders and manage changing priorities
Experience contributing to machine-learning projects
Understanding of basic machine-learning concepts, including features, training, and evaluation
Interest in applying machine learning and LLMs to business contexts

What the Team is Saying

Pfizer Compensation & Benefits Highlights

Healthcare Strength — Healthcare coverage is described as comprehensive, with multiple plan options, dental and vision, mental-health services, telehealth, and eligible Pfizer medications at no cost. Family-building benefits such as infertility treatment, adoption, and surrogacy support further reinforce the offering.
Retirement Support — Retirement support includes a 401(k) with employer matching plus an additional company retirement contribution, alongside access to financial-planning resources. This combination is positioned as a meaningful part of total rewards.
Leave & Time Off Breadth — Paid time off includes 15 holidays, three to six weeks of vacation depending on service, and the option to purchase additional vacation weeks, plus dedicated caregiver-leave days. Twelve weeks of paid parental leave and backup care resources add flexibility for family needs.

Learn more about Pfizer's Compensation & Benefits →

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The Company

HQ: New York, NY

121,990 Employees

Year Founded: 1848

What We Do

Our purpose ensures that patients remain at the center of all we do. We live our purpose by sourcing the best science in the world; partnering with others in the healthcare system to improve access to our medicines; using digital technologies to enhance our drug discovery and development, as well as patient outcomes; and leading the conversation to advocate for pro-innovation/pro-patient policies.

Why Work With Us

We are the inventors, the problem solvers, the big thinkers — those who surmount any hurdle to deliver breakthrough medicines to the people who are counting on them the most.