Prácticas - Tech & Data

Penguin Random House Grupo Editorial is the Spanish-language division of the international publishing company Penguin Random House. We publish books for readers of all ages and in different formats: paper, digital or audio. We are part of Bertelsmann, a multinational media, services and education company, operating in more than 50 countries around the world.

As an intern at Penguin Random House Editorial you will live the experience of being part of an organization that is committed to diversity, creativity and entrepreneurship. Our corporate culture is centered on people, as validated by 99% of our employees in the latest Employer Brand survey (2022).

If you want to be part of a large multinational company passionate about culture and leader in the publishing sector, do not miss this opportunity.

Job Description 

We are looking for a talented Data Science Intern who is excited to show off their data skills and create awesome machine learning algorithms. 

You will work in an agile environment with an amazing international team of data scientists, data engineers and business analysts in collaboration with our offices in UK, Germany, US, Argentina, Mexico, and Spain of course! 

What will you do? 

• Analyse business data to extract valuable insights.  

• Design ML algorithms from development to production. 

• Validate the quality of the data and the performance of ML models. 

• Create Data visualizations / Dashboards for the business units to interact with the ML models.

What is required? 

• Good knowledge of Python, SQL, Docker, Kubernetes 

• Understanding the basics of machine learning techniques 

Bonus Points 

• Experience with cloud architecture (AWS/Azure) 

• Experience with ETL tools like Airflow 

•  Experience with AWS Sagemake 

If you are interested and you are a master's, postgraduate or final year degree students, please contact us! 

Empresa: Penguin Random House Grupo Editorial, S.A.U. 

País: España

Región: Barcelona

Ciudad: Barcelona 

Código postal: 08021

Job ID: 269746