Internships in the Data Science department - Summer Internship Program

Key Skills

Azure, Big Data Technology, Data science techniques, Databricks, Large data sets, Machine learning techniques, Python Programming, SQL

Job Description

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!