**About Abbott** Abbott is a global healthcare leader that creates innovative science to improve people’s health. We are always looking ahead, anticipating changes in science and medical technology. **Working at Abbott** At Abbott, you can do work that matters, grow and learn, take care of yourself and your family, be authentically you, and live a fulfilling life. You’ll have access to: * Professional development with an international company where you can build the career you dream of. * A company recognized as a best place to work in dozens of countries worldwide and named one of the world’s most admired companies by Fortune. * A company recognized as one of the best large employers for working mothers, women executives, and women scientists—and where diversity is valued. **The Opportunity** This position is located in Bogotá within the Established Pharmaceuticals Division (EPD). We are committed to delivering the benefits of our trusted medicines to more people in the world’s fastest-growing countries. Our broad portfolio of high-quality, branded generic medicines spans multiple therapeutic areas, including gastroenterology, women’s health, cardiometabolic, pain management / central nervous system, and respiratory. As an **INTERN**, you will have the opportunity to be an active member of the team, taking on challenging tasks and responsibilities to support your professional development—and gaining firsthand insight from day one into how the pharmaceutical industry operates. You’ll participate in projects and activities specific to your area, as well as in initiatives Abbott conducts annually especially for our interns around the world. **What You’ll Do** * Support data cleaning, transformation, and analysis. * Automate reports and dashboards. * Participate in predictive modeling projects. * Contribute to designing analytical solutions that generate business value. * Document processes and best practices in data usage. **Required Qualifications** * Student pursuing a degree in Data Science, Mathematics, or Statistics. * Critical and ethical thinking regarding data usage. * Analytical and synthetic capabilities. * Effective communication of findings. * Proactivity and willingness to learn from the business environment. * Collaborative work in multidisciplinary teams.