JUMP TO CONTENT

Intern (all genders) - Data Science

__jobinformationwidget.freetext.LocationText__

Wiesbaden, HE

  1. Kommerziell
  2. Data & Statistical Sciences (DSS)
R00115583

Diese Position ist nicht mehr verfügbar. Bitte schau dir ähnliche Funktionen unten an.


Unternehmensbeschreibung

AbbVie's mission is to discover and deliver innovative medicines and solutions that solve serious health issues today and address the medical challenges of tomorrow. We strive to have a remarkable impact on people's lives across several key therapeutic areas – immunology, oncology, neuroscience, and eye care – and products and services in our Allergan Aesthetics portfolio. For more information about AbbVie, please visit us at www.abbvie.com. Follow @abbvie on TwitterFacebookInstagramYouTube and LinkedIn


Stellenbeschreibung

We would like to give you a unique opportunity to get to know the area of ICEx better. We are looking for an intern (m/f/d) in our data science team.

This internship position is located in Wiesbaden, Germany (full-time).

 

YOUR TASKS

  • Support AbbVie's International Winning with Data (WWD) Team in all relevant areas of the Data Science project cycle (Business & Data Understanding, Data Preparation, Modeling & Evaluation) for scalable and modular solutions
  • Carry out descriptive and exploratory analyses in Python/PySpark, especially on the basis of structured data
  • Develop statistical models in Python with both supervised and unsupervised methods
  • Work on advanced KPI-modeling for marketing and sales teams
  • Present results to the team and multiple stakeholders on local, area and international level
  • Take over sub-projects and collaboration on operational tasks
     

As an intern (m/f/d), you will work with various teams within the area of ICEx/WWD and get to know all aspects of everyday life.


Qualifikationen

YOUR PROFILE

  • Student (enrolled) from the fields of econometrics, statistics, mathematics, physics or comparable
  • Experience in programming with Python and associated libraries (numpy, pandas, statsmodels, scikit-learn,...)
  • First practical experience in Data Science. First experience in regressions, (non-) linear models, clustering and factor analysis is a plus
  • Analytical skills, quick comprehension and high affinity for numbers
  • Conscientious, structured and independent way of working
  • Very good English and German skills
  • Interest in new, challenging topics and having fun solving complex problems

Zusätzliche Informationen

Nur gemeinsam können wir das Beste für Patienten erreichen. Daher setzen wir bei AbbVie auf Chancengleichheit, Vielfalt & Inklusion. Wir gestalten ein Arbeitsumfeld, in dem alle Mitarbeiter ihr Potenzial entfalten können – unabhängig von Geschlecht, Herkunft, Religion, sexueller Orientierung oder anderen Vielfaltsdimensionen. Doch für uns bedeutet Vielfalt mehr als nur offensichtliche Unterschiede zu berücksichtigen: Sie bezieht sich auch auf unterschiedliche Ausbildungshintergründe, Fachkenntnisse, Persönlichkeitstypen, Denkweisen und Lebenserfahrungen.