Data Scientist Intern

Quick Facts

• Duration: 6 months

• Schedule: 30 hours/week; hybrid work (4 days in office, 1 day remote)

Description

You will develop your Data Science skills in a chosen field under the supervision of an experienced programmer and your mentor. You’ll work on daily tasks, follow a structured development plan with progress monitoring, and complete a technical assessment at the end of the internship.

The internship provides compensation, equipment, and training-platform access, with the possibility of further employment for top performers.

Responsibilities

• Learn under supervision of an experienced programmer

• Spend 30 hours per week for 6 months developing in your chosen field

• Work closely with a mentor on daily tasks

• Collaborate with the team in a hybrid model: 4 days per week in the office and 1 day remotely

Requirements

• Good knowledge of Computer Science fundamentals: statistics, algorithms, and data structures

• Basic engineering skills in Python

• Experience with version control systems (preferably Git)

• Basic understanding of Data Science concepts (supervised vs unsupervised; regression vs classification; overfitting vs underfitting)

• Basic knowledge of relational databases (e.g., MySQL)

• English: upper-intermediate or higher (spoken and written)

• Technical education (BS or MS in a technical field) or currently pursuing the degree

Benefits

• Compensation for the period of study

• Mentoring from professional specialists, development plan, monitoring of learning progress, and technical assessment upon completion

• Opportunity for further employment for the best students

• Opportunity to participate in company activities

• Necessary equipment provided

• Access to training platforms