Data Science Intern

We are looking for a curious and analytical Data Science Intern to join our team.

This role is ideal for someone passionate about statistics, machine learning, and data analysis who wants to apply their skills in a practical business environment. You'll contribute to building predictive models and delivering data-driven insights that support strategic decision-making. Apply now to grow your expertise in a dynamic setting.

Responsibilities

• Support data cleaning, manipulation, and analysis of extensive datasets
• Create predictive models and machine learning solutions
• Work alongside cross-functional teams to grasp business needs and pinpoint data analytics opportunities
• Present data insights through visualization tools such as Tableau or Power BI
• Compile reports and share findings with team members and leadership
• Keep abreast of the newest developments in data science and machine learning

Requirements

• Requirement to be present onsite at the Lisbon office once weekly
• Enrollment in a Bachelor’s or Master’s program in Data Science, Statistics, Computer Science, or a related discipline
• Solid understanding of statistical methods and data mining
• Familiarity with programming languages like Python or R
• Knowledge of machine learning frameworks and libraries
• Strong analytical thinking and problem-solving capabilities
• Good communication and organizational skills

Nice to have

• Hands-on experience with big data technologies such as Hadoop, Spark, or Kafka
• Familiarity with deep learning and neural network concepts
• Understanding of SQL and database management systems

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