Internships in the Data Science department

1 dzień temu

Warszawa, Województwo mazowieckie, Polska Nestle S.A. Pełny etat 29 000 zł - 42 000 zł Umowa

Join Nestlé if:

  • You are a student of at least 3rd year of studies or graduate (preferred fields: Quantitative Methods, Econometrics, Data Science, Big Data, Mathematics, Statistics, Physics or Bioinformatics)
  • You speak English fluently,
  • You have a good knowledge of Python and SQL + you have an understanding of mathematics and statistics used in time series models and machine learning,
  • You are open, proactive and focused on building relationships,
  • You value teamwork, but you can also work independently.

The Data Science team is waiting for you This year we have places to offer for 2 trainees.

As part of the project, we will entrust you with the following tasks:

  • Supporting the Data Science Hub team in ongoing projects using, among others: Python, Databricks, Azure,
  • Preparing and transforming data for modeling,
  • Developing and conducting exploratory analyzes on large data sets,
  • Building time series and machine learning models,
  • Implementing the forecasting process for new categories/markets,
  • Participating in meetings within the team and with stakeholders.

What can we offer you?

  • 3-month paid internship starting on July 2, 2024 with the possibility of extending cooperation,
  • Implementation of independent, responsible projects and tasks,
  • A work atmosphere based on respect, cooperation and openness to diversity,
  • The opportunity to build your professional career in a dynamic business environment under the supervision of a dedicated mentor,
  • Numerous attractions - integrations, inspiring meetings and a trip to one of our factories,
  • A package of practical training: a workshop on career path management, nutritional training, the opportunity to take an eBusiness Academy course,
  • Evaluation meetings and receiving regular feedback,
  • Possibility to participate in Sustainability projects and join a community focused on creating sustainable solutions,
  • Hybrid work and flexible working hours,
  • Unforgettable memories