Data Scientist Intern

Are you looking for a great opportunity to expand your skills and knowledge? Want to join a multinational company with interesting projects and learn from our professionals? If you are ready to start your career in IT, just show us your potential, and we will give you the experience!

Responsibilities:

• Learning under the supervision of an experienced programmer

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

• Working closely with your mentor on daily tasks

• Collaborating with the team in a hybrid model: 4 days per week in our office and 1 day remotely is mandatory

Min requirements:

• Good knowledge of Computer Science fundamentals: Statistics, Algorithms and Data Structures.

• Basic engineering skills in Python,

• Experience with VCS (preferably Git)

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

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

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

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

Would be a plus:

• Experience with cloud services: GCP/ Azure/ AWS. Especially valuable if ML-services were used.

• Proved experience in Python engineering

• Experience in Data Science (pet or academic projects, hackathons etc.)

• Experience of using Data Science tools and frameworks: Jupyther, scikit-learn, pandas, seaborn, pytorch etc

• Domain knowledge outside of the Computer Science field

We offer:

• The duration of the internship is 6 months

• Compensation for the period of study

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

• The best students will have the opportunity for further employment in the company

• Opportunity to participate in all activities of the company

• We provide all the necessary equipment

• Access to training platforms

Tech stack

• Programming
• English
• SQL
• Python
• Data Science