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Finance Data Science Intern

Pay
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Work setting
Hybrid — work setting source
Fast-growing and innovative environment. Location: hybrid work mode schedule in our Madrid offices. Start date: December 2026
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Employment
Full-time — employment source
Employment type in the employer’s posting: FULL_TIME
From the employer’s posting

Before you apply

New graduates
For current studentsJob title: Finance Data Science Intern

What you’ll work on

Full posting
  • Develop forecasting models with DarTS, statsforecast, skforecast and sklearn

  • Analyze forecasting results through accuracy assessments

  • Explore data sets to find hidden value

  • Experiment with Generative AI tools to find business use cases

  • Improve data quality and governance with the team

From the employer’s posting
Develop forecasting models using best-in-class technologies such as DarTS, statsforecast, skforecast, sklearn
Analyze results of different forecasting methodologies through robust accuracy assessments
Explore data sets to find hidden value by asking the right questions
Experiment with GenerativeAI tools to identify and implement use cases that bring actual value to the business
Work with the team to improve data quality and data governance

What you’ll bring

All qualifications

Core experience

  • Current BSc or MSc in data science, computer science, maths, engineering or related field
  • Python skills (required)
  • Fluent English
  • Good knowledge of data science and data engineering tools
  • Autonomy and willingness to make decisions and bring new ideas
Qualification wording
BSc/MSc in data science, data engineering, computer science, mathematics, engineering or any other related field
Python is a must.
Fluency in English required
Good knowledge on data science & data engineering tools
Autonomy, with the ability to make decisions and bring new ideas

About Boston Scientific

As a Data Science intern, you will join Finance EMEA to help build the AI & Data Science vision from scratch.

In the employer’s words · Read in context

Apply at Boston Scientific

Posting record

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Status in our records
Live
First seen by us
Oct 14, 202621 days ago
Recorded sightings
107
Last seen by us
Nov 4, 2026

These dates show when we found the posting. Check the employer’s website to confirm it is still accepting applications.

How this job compares

Time since we first saw it

Day 21

Similar jobs usually come down between day 7 and day 55.

At Boston Scientific, jobs usually come down by about day 18.

From 10,064 similar postings that came down, and 69 of Boston Scientific’s. Coming down is not always a hire.

Boston Scientific is hiring

12 open jobs

Open jobs by the week we first saw them, last 12 weeks.

  • Data Scientist hiring has slowed
  • Takes jobs down quickly
Hiring record

See how this role fits your experience

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  • Python
  • scikit-learn
Where the posting names them
- 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
- 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
- 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

Your next step

Complete your application on bostonscientific.eightfold.ai. The employer’s form will show what is required.

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About the role

We file this job under Data Scientist, by the work the posting describes.

Data scientists use statistics and models to answer harder questions, such as whether a change worked, what demand will look like next quarter, or which customers are likely to leave.

Postings usually ask for Python or R, SQL, statistics, experiment design and common machine learning methods.

Unlike an ML engineer, a data scientist's main output is often an analysis or a first model, not software running inside a product.

US government figures for data scientists

Median yearly pay, May 2025
$120,230
Expected change, 2025 to 2035
34.6% more jobsagainst 3.5% for all jobs

Source: US Bureau of Labor Statistics, Occupational Employment and Wage Statistics (May 2025) and Employment Projections (2025 to 2035). Occupation code 15-2051.

Job description

View original posting ↗

Additional Locations:  N/A

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.

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Location & working pattern

Madrid, MD, ES

- Fast-growing and innovative environment. Location: hybrid work mode schedule in our Madrid offices. Start date: December 2026
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