About the project

• Striving to gain market-oriented knowledge and skills to jumpstart your career in IT? Apply for this program and shape your professional path with EPAM experts.
• 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 the basics of deep learning and neural networks
• • Join one of our mentoring programs in specialized Data Science domains
• After completing this program, high-performing candidates may be offered opportunities to further their learning based on their level, skills, and available positions at EPAM.
• Please note that the program start date may change. The selection period will adjust accordingly. Please check the program details frequently.

Your responsibilities

• Data Science is a promising IT area that lies at the intersection of math, statistics, programming and domain expertise and helps get valuable data insights.
• Training process
• The program is designed to guide you through two engaging stages:
• Stage 1: Fundamentals (3 months with ~12 hours per week)
• In this stage, you'll build a strong foundation in Data Science. Here's what to expect:
• • Weekly learning. Explore video lessons and self-study materials, then practice through tasks and tests – all within set deadlines to ensure steady progress.
• • Mentor guidance. Submit your weekly practical assignments for feedback and approval from expert mentors.
• • Interactive support. Join weekly group Q&A sessions with professionals to discuss questions and deepen your understanding.
• Perform well to pass the technical interview and advance to the next level!
• Stage 2: Specialization (3.5 months with ~20 hours per week)
• This stage is all about taking your skills to the advanced level with a more intensive approach. You will join one of the proposed mentoring programs:
• • Computer Vision
• • Natural Language Processing
• • Machine Learning Engineering
• • Time Series
• • Recommendation Systems
• • By the end, you'll acquire job-ready skills to tackle real-world data challenges confidently.

Our requirements

• Second-to-last or final year university students and recent graduates
• Individuals aged 18 years and older
• English level B2 (Upper-Intermediate) or 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)

Technologies we use

What we offer

• Industry-based education. As a leading software engineering company, we will help you explore emerging technologies and best practices that the market demands.

• Top-notch learning materials. Our Data Science specialists with extensive project experience have designed and tested the educational content in numerous training runs.

• Practice-oriented approach. This comprehensive program focuses on providing you with hands-on experience and practical application of the concepts learned.

• Deep dive into the specialization. Our graduates become highly skilled specialists ready to face complex technical challenges and work with the world's leading clients.

• Support from experienced mentors. We will guide you at all training stages, covering your open questions and sharing feedback on assigned tasks.

• Career advancement. Upon successful completion of both fundamentals and specialization stages, we will consider you for open positions based on your demonstrated skills and available opportunities at EPAM.