Data Science Trainee
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Data Science Trainee

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За нас

Do you want to become a part of the big world of the telecommunications sector? If you are looking for a proper internship with real tasks and challenges to help you find the balance between the theory learned at the university and the practice in large companies - Hub by Yettel gives you a chance to get this opportunity.

We are looking for an intern who wants to join our Data Science Department and dive in the exiting environment of big business.


Role overview:

Are you willing to learn new technologies such as Spark, Impala, Airflow and Kafka?
If you have strong analytical mindset, good understanding of statistics and data analysis or basic knowledge of Python and SQL.- Hub by Yettel gives you the opportunity to upgrade your knowledge. We are looking for a Data Science intern to support the company from moving to analytical decision making to contextual, personalized and predictive processes.

The successful candidate will support us in building and automating predictive models focusing on customer behavior and their integration into day to day business. Curious mind and willingness to learn new technologies and concepts is a must. Knowledge of Python and SQL is a plus.

Изисквания и необходими умения

Your responsibilities will be

Basic Qualifications:
• Good understanding of statistics
• Programming experience (e.g. Python/R)
• Basic SQL Understanding
• Business acumen

Preferred Qualifications (on top of Basic Qualifications):
• Passion for Data / Big Data
• Willingness to learn new technologies – Spark, Impala, Airflow, Kafka
• Ability to grasp complex business requirements and implement them into analytical use cases

Ние Ви предлагаме

Our offer:
• 12-months full time, paid labor contract as part of our internship program
• Full benefit package
• Open working environment where we work and have fun
• Professional team, where you can learn, try new things and bring value
• Flexible working time

Only short-listed candidates will be contacted. All applications will be treated in strict confidentiality and in compliance with applicable law regarding personal data protections.
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