• Netherlands, Amersfoort
  • IT
  • Internship / Apprenticeship
  • Full-Time

Kurze Stellenbeschreibung

To strengthen our Commercial Insights team, FrieslandCampina seeks an hands-on Data Scientist intern. We are looking for a bright & motivated intern to take part in  data science projects, starting from basic statistical analysis to advanced machine learning algorithms using Python. You  will be working closely with data scientists & marketing experts  to collect, analyze & interpret multiple data sources ranging from structured market share/ SAP data to unstructured digital/ social listening data. You will have an opportunity to work with business stakeholders from Europe, Middle East, Asia & African countries.

 

Stellenbeschreibung

Your main role will be gathering multiple data sets, integrate, design, build & deploy predictive algorithms that is scalable & represent outcomes visually in a BI tool. You will have strong support from senior data scientists, BI managers & business owners to implement the solutions, to experiment & implement advanced machine learning/AI algorithms based on business use cases. Candidates must be able to work in a fast-paced, dynamic environment with challenging timelines and high analytical focus.

Requirements

  • Bachelors/ Master’s degree in Mathematics, Statistics, Physics, Computer Science, business analytics or a relevant field.
  • Must have experience in SQL/ Scripting skills & Statistical programming language(Python)
  • Build machine learning algorithms, Big Data technologies Hadoop & Spark is a plus.
  • Familiarity with database, AWS cloud, architecture       & data warehousing principles
  • Working knowledge on any one Data visualization tool(Tableau/ Power BI)
  • Support in building a single source of truth(Data lake) in our cloud based AWS environment
  • Analyze and interpret data using advanced statistical models and Big data technologies
  • Extend our FC data science lab to the next level by implementing advanced technologies
  • Knowledge/ experience on Digital analytics lead generation predictive algorithms, Market mix modelling, Customer 360, Consumer Insights, Segmentation and clustering techniques
  • Be flexible to balance data science activities with business acumen in FMCG domain
  • High level of professionalism, energy and sense of urgency to “make things happen.”
  • For a period of 6 months
  • start date: september

Kontaktinformation

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