Junior Data Scientist - Graduate Program

Job description

Role purpose

Be part of our Discover Graduate Program, joining our Talent Pool!
We are looking for a passionate, talented, and inventive “ Junior Data Scientist” to join our big data & AI team. As a Junior Data Scientist, you will be responsible to provide actionable business insights that drive revenue, reduce cost, and improve customer experience.
You will be working with key stakeholders within Vodafone Italy to generate hypotheses and supports the analytics modelling managers to create models that answer impactful business questions.

As Junior Data Scientist your main responsibilities will involve:

  • Delving into data from different systems, structured and unstructured, both batch and real time, to discover hidden relationships and useful information
  • Translating complex datasets into key strategy insight and powerful capabilities to the business
  • Using machine learning /AI algorithms to perform modeling on network investment, predictive maintenance
  • Using machine learning /AI algorithms to perform modeling for marketing and sales – churn models, next best action modelling, customer segmentation, store locations etc...
  • Support the development of insightful dashboard to enable faster decision making
  • Identifying new data sources and evaluate emerging technologies for data discovery usage
  • Participating in a community of Vodafone data scientists working in numerous countries

Your skills and qualifications must include:

  • Master’s Degree in quantitative fields like Mathematics, Statistics, Computer Science, and Engineering
  • Hands-on experience with the Big Data Analytics landscape and related tools, especially Hadoop, Hive/Impala, Spark (pyspark). Previous experience in performing analytics on cloud platforms is a plus.
  • Fluency in coding using Python and basic experience in Python data analysis libraries such as pandas, numpy and scikit-learn
  • Good level experience with the mathematical foundations of modern machine learning/AI algorithms and statistics
  • Good communication skills, with the ability to present technical results to non-technical audiences
  • Curiosity, creativity, and an empirical mindset
  • Being detail-oriented



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