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Data Science Intern

Seniority Level: Internship
Industry: Information Technology & Energy Services
Job Functions: Engineering Information / Technology / Data Science
Workplace: Milano, Italy

Your responsibility:

As Data Science intern, you support tasks such as the exploration and analysis of data ingested from electrical heaters and ad-hoc analysis (including weather data, power consumption, energy savings and customers behaviour). You contribute to the improvement of the existing direct electrical heater simulator and the implementation of power consumption predictive models using various strategies such as bottom-up physics-based approaches, time series forecasting and statistical models. You also assist in the development, improvement and deployment of data pipelines, the validation of data after migrations or jobs refactoring and the test and report on data quality.

Your profile:

  • Bachelor or Master in Data Science, Computer Science, Physics or Mathematics;
  • Interest in the energy transition, ancillary services, and virtual power plant;
  • Proficiency in descriptive and predictive analysis, statistical modelling and machine learning techniques;
  • Strong programming skills in Python and SQL;
  • Familiarity or willingness to learn Apache Airflow, Apache Spark and AWS services (S3, Athena, Glue);
  • Prior knowledge or interest in DevOps topics such as containers (Docker) and container orchestration (Kubernetes);
  • Flexible and open to collaborate with various teams at tiko, including Energy Operations and Backend;
  • English fluency is mandatory; German or French fluency is an advantage
  • Valid working permit for Switzerland or EU nationality;
  • Duration of the internship: 6/9 months

tiko Zurich
tiko Zurich
In the trendy area of Wiedikon, our office is surrounded by nice restaurants and bars and only a 10 minute bike ride away from the lake. The large office is full of colours and light, and we have a huge roof-top inviting for a nice BBQ's in summer with a perfect view on the famous Uetliberg.
Any questions?

You’d like to know more? Just send us an email and we will get back to you!

The HR Team

Data Science Intern

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