EPAM Campus offers a free Data Science training program to help you gain market-oriented hard and soft skills alongside IT professionals. If you are eager to thrive in the data-driven world and master one of the most trending professions, then this expert-led program is what you need.

By participating, you will have the opportunity to:

• Gain a strong foundation in software engineering
• Dive deep into statistics and data analysis
• Learn regression, classification and clustering techniques
• Explore deep learning and neural network basics
• Join one of our mentoring programs in specialized Data Science domains

This program is designed in two stages to build your expertise step by step:

Stage 1: Foundations will last ~3 months and require ~12 hours of weekly engagement

Learn the core concepts of Data Science through structured lessons, practical assignments, and mentor feedback. Join weekly Q&A sessions, complete assessments, and pass the technical interview to move to the next stage.

Stage 2: Specialization will last ~4 months and require ~20 hours of weekly engagement

Master advanced topics by focusing on one specialization: Computer Vision, NLP, Machine Learning Engineering, Time Series, or Recommendation Systems. Engage in intensive tasks, group activities, and self-study to confidently tackle real-world challenges.

Registration deadline: October 5, 2025

Program start*: November 2, 2025

*Program dates are subject to change. Stay tuned for updates.

Top-performing participants will be invited to interview for Junior positions and may have the opportunity to join the EPAM team in Ukraine, depending on their skill level and available vacancies.

What you have

• English level from B2 (Upper-Intermediate) and higher
• Proficiency in mathematical analysis (main topics of derivatives, integrals, extrema of functions in multidimensional real space)
• Skills in linear algebra (vectors, matrices, tensors, linear equations, eigenvalues and eigenvectors, quadratic forms)
• Knowledge of probability theory (definition of probability, conditional probability, Bayes' theorem, expectation)
• Command of statistics (basic concepts, hypothesis testing, concept of likelihood, estimation of distribution parameter)
• Understanding of basic optimization concepts and methods (stationary points, Lagrange multipliers, gradient descent)
• Knowledge of data structures and algorithms (sorting algorithms, algorithm complexity)
• Familiarity with Python fundamentals (NumPy and Pandas in particular)

Apply now and take the first step toward your Data Science career with EPAM!

Kindly note that this role supports remote work, but only from within Ukraine.

Kindly be advised that the set of benefits, including learning, certification, and other opportunities, may vary depending on the role you apply for. Our recruiter will be able to share more details about the specific opportunity during your general interview.

EPAM strives to provide its global team of over 61,700 professionals in more than 55 countries with opportunities for professional growth from day one of collaboration. Our colleagues are the source of EPAM's success, so we value cooperation, strive to always understand our clients' business and aim for the highest quality standards. No matter where you are, you will join a dedicated, diverse community that will help you realize your potential to the fullest.