We are inviting applications for a Data Science Intern who has a passion for data analysis and machine learning.
This position offers hands-on experience in building predictive models and extracting insights to support business decisions. Become part of a collaborative team and develop your expertise in a fast-paced environment.
Responsibilities
- Contribute to cleaning, manipulating, and analyzing significant datasets
- Develop and apply predictive models and machine learning techniques
- Engage with teams to understand business objectives and uncover data analytic possibilities
- Design data visualizations using tools like Tableau and Power BI
- Prepare and deliver reports to teams and management
- Keep current with advances in data science and machine learning methods
Requirements
- On-site presence in Lisbon office once per week is required
- Enrollment in a relevant Bachelor’s or Master’s degree program such as Data Science, Statistics, or Computer Science
- Proficient knowledge of statistical methods and data mining
- Experience with Python or R programming
- Understanding of machine learning frameworks and libraries
- Strong analytical abilities and problem-solving skills
- Excellent communication and organizational competencies
Nice to have
- Familiarity with big data technologies including Hadoop, Spark, or Kafka
- Background in deep learning and neural networks
- Knowledge of SQL and database management
We offer
- International projects with top brands
- Work with global teams of highly skilled, diverse peers
- Healthcare benefits
- Employee financial programs
- Paid time off and sick leave
- Upskilling, reskilling and certification courses
- Unlimited access to the LinkedIn Learning library and 22,000+ courses
- Global career opportunities
- Volunteer and community involvement opportunities
- EPAM Employee Groups
- Award-winning culture recognized by Glassdoor, Newsweek and LinkedIn
Key Skills
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- Posted
- Jan 06, 2026
- Type
- Full-time
- Level
- Entry
- Location
- Portugal
- Company
- EPAM Systems
Industries
Categories
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3 roles aligned with this opportunity
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2026-05-27
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