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Diversity - Innovation - Caring - Global Collaboration - Winning Spirit - High Performance
At Boston Scientific, we’ll give you the opportunity to harness all that’s within you by working in teams of diverse and high-performing employees, tackling some of the most important health industry challenges. With access to the latest tools, information and training, we’ll help you in advancing your skills and career. Here, you’ll be supported in progressing – whatever your ambitions.
About Us
As a Data Science intern, you will join Finance EMEA to help build the AI & Data Science vision from scratch. It is an excellent moment to join, as we are taking the initial steps towards bringing our AI capabilities to the next level. You will be involved in activities ranging from the use of advanced forecasting techniques to improve financial performance, to how to manage and govern data properly to performing exploratory data analyses to understand the value in data sets. You will also be involved in experimentation with Generative AI and Agentic technologies.
Your Responsibilities Will Be
To be balanced depending on needs:
- Analyze results of different forecasting methodologies through robust accuracy assessments
- Understand the ins-and-outs of existing forecasting methodologies (including Python code and Cloud architecture)
- Develop forecasting models using best-in-class technologies such as DarTS, statsforecast, skforecast, sklearn
- Explore data sets to find hidden value by asking the right questions
- Work with the team to improve data quality and data governance
- Generate high-quality documentation
- Experiment with GenerativeAI tools to identify and implement use cases that bring actual value to the business
- Generate and disseminate high quality educational content on AI and data science
What Are We Looking For In You
- BSc/MSc in data science, data engineering, computer science, mathematics, engineering or any other related field
- Fluency in English required and Spanish is a plus
- Good knowledge on data science & data engineering tools: Python is a must.
- Experience in real projects is a plus
- Autonomy, with the ability to make decisions and bring new ideas
- Continuous learner, with drive to grow on the technical dimension
- Flexibility to adapt scope to dynamic needs
What We Can Offer To You
- Paid internship in an international environment.
- Exposure to Commercial Excellence, business operations and digital enablement.
- Opportunity to develop project coordination, stakeholder management, analytical and organisational skills.
- Experience in commercial process improvement, change management and cross-functional collaboration.
- Inspirational colleagues and a collaborative, team-oriented culture.
- Possibility to make an impact while contributing to business transformation initiatives.
- Fast-growing and innovative environment.
Location: hybrid work mode schedule in our Madrid offices.
Start date: December 2026
Requisition ID: 636273
Boston Scientific transforms lives through innovative medical technologies that improve the health of patients around the world. As a global medical technology leader for more than 45 years, we advance science for life by providing a broad range of high-performance solutions that address unmet patient needs and reduce the cost of healthcare. Our portfolio of devices and therapies helps physicians diagnose and treat complex cardiovascular, respiratory, digestive, oncological, neurological and urological diseases and conditions. Learn more at www.bostonscientific.com and follow us on LinkedIn.
Skills Required
- BSc or MSc in data science, data engineering, computer science, mathematics, engineering, or a related field
- Fluency in English
- Good knowledge of data science and data engineering tools
- Python proficiency
- Experience working on real projects
- Ability to work autonomously, make decisions, and bring new ideas
- Continuous learning mindset and motivation to grow technically
- Flexibility to adapt to dynamic responsibilities
- Spanish language skills
Boston Scientific Compensation & Benefits Highlights
The following summarizes recurring compensation and benefits themes identified from responses generated by popular LLMs to common candidate questions about Boston Scientific and has not been reviewed or approved by Boston Scientific.
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Healthcare Strength — Healthcare coverage is positioned as comprehensive, spanning medical, dental, vision, life, and disability insurance alongside mental health resources. Family planning support and broader care navigation offerings further strengthen the health-related value of the package.
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Retirement Support — Retirement benefits stand out through a 401(k) match described as best-in-class and supported by profit sharing and an employee stock purchase plan. High participation in retirement programs is also highlighted as part of the overall financial benefits footprint.
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Leave & Time Off Breadth — Time off is described as generous, with reports of 20+ vacation days and up to four weeks in some roles, plus paid holidays and sick leave. Longer-term options such as extended unpaid family leave and a personal enrichment sabbatical expand flexibility beyond standard PTO.
Boston Scientific Insights
What We Do
Boston Scientific transforms lives through innovative medical technologies that improve the health of patients around the world. As a global medical technology leader for more than 40 years, we advance science for life by providing a broad range of high-performance solutions that address unmet patient needs and reduce the cost of health care. Our portfolio of devices and therapies helps physicians diagnose and treat complex cardiovascular, respiratory, digestive, oncological, neurological and urological diseases and conditions. For more information, visit www.bostonscientific.com and connect with us on X, Instagram, and Facebook. At Boston Scientific, you will find purpose, a place to grow and opportunities to cultivate your passions. To search and apply for open positions, visit https://bostonscientific.eightfold.ai/careers. You may also review our social media guidelines at http://www.bostonscientific.com/social.
