EPAM Systems
Data Science Intern
EPAM SystemsPortugal2 days ago
Full-timeBusiness Development, Information Technology +1

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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