Commercial Excellence & Innovation (CEI)

Location: Bogotá (Hybrid / Onsite)

Duration: Internship (Fulltime preferred) 1 year.

Why Patients Need You

A career with us is about discovering innovations that change patients lives.
No matter your role you will be part of bringing therapies to people around the world by enabling better datadriven decisions across the organization.

At Pfizer data and analytics are critical tools to understand healthcare challenges optimize decisionmaking and ultimately improve patient outcomes.

What You Will Achieve

As a Data Analytics & AI Innovation Intern within the Commercial Excellence & Innovation (CEI) team you will support analytics business intelligence and AIenabled initiatives that directly inform commercial and strategic decisions.

You will work with real healthcare and commercial data active Power BI dashboards and crossfunctional stakeholders contributing to:

• Improving data quality and analytical reliability

• Translating complex data into clear actionable insights

• Supporting early AI and advanced analytics use cases in a regulated enterprise environment

This role provides handson exposure to how data analytics and AI are applied in real healthcare business contexts beyond purely academic use cases.

What You Will Work On

Data Analytics & Visualization

• Support the development maintenance and improvement of Power BI dashboards used for commercial decisionmaking

• Analyze datasets to identify data quality issues inconsistencies and improvement opportunities

• Translate business questions into structured analyses and visual insights with guidance from CEI

Data Preparation & Programming

• Prepare data for analysis through cleaning transformation and classification

• Use Python SQL or similar tools to support: Data preparation and explorationAnalytical prototypingProcess optimization where applicable

• Work with structured and semistructured datasets in an enterprise environment

AI & Advanced Analytics Exposure

• Support analytics and AIdriven initiatives including: Understanding and contributing to machine learning or predictive analytics projectsAssisting in the design testing or evaluation of AI and agentbased solutions

• Gain exposure to applied ML concepts LLMs and AI agents with mentorship and business context provided

Stakeholder Interaction & Communication

• Collaborate with team members and stakeholders from different functions (commercial data digital)

• Support documentation analytical summaries and clear communication of results

• Participate in workshops working sessions and reviews when relevant

• Minimum B2-level English

Who Should Apply

Educational Background

We are particularly interested in students with a strong technical and analytical foundation such as:

• Biomedical Engineering Data Engineering Industrial Engineering Applied Mathematics Statistics

• Or related fields with strong exposure to analytics and healthcarerelevant problemsolving

Technical Skills

• Strong foundation in Data Analytics

• Solid working knowledge of Power BI (data models visuals; basic DAX is a plus)

• Experience using Python and/or SQL for data analysis and transformation

• Familiarity with BI analytics or data processing tools

AI / ML Background (Preferred)

• Experience designing or executing machine learning or data science projects (academic personal or researchbased)

• Understanding of core ML concepts (e.g. features models evaluation)

• Interest in how AI and LLMs are used to solve realworld healthcare or business problems

Interpersonal & Organizational Skills

• Clear structured communicator comfortable explaining analyses and asking good questions

• Able to work with multiple stakeholders and shifting priorities

• Organized accountable and able to manage tasks with guidance but without constant supervision

What Will Help You Succeed

• Curiosity and intellectual rigor

• Comfort navigating ambiguity in complex environments

• Ability to balance technical depth with practical business needs

• Openness to feedback and continuous learning

Work Location Assignment:Hybrid

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.