Philips Hiring For Data Analytics Summer Interns

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Internship Drive 2020

Philips is hiring for Data Analytics Summer Interns. For more such off campus drives, internships and free courses be active on our website

Job TitlePhilips Hiring For Data Analytics Summer Interns
DescriptionCreates methods of obtaining data that can be used for data sciences; Identifies ways to improve current data mining for future recommendations to reduce manual manipulation of data.
Work LocationPune – INDIA
Employment TypeFULL TIME

Job Description

Area of work: Intern will work on Data Analytics Area.

Qualifications:

  • Good undergraduate or Master degree in a mathematical or technical discipline, such as Mathematics, Economics, Computer Science, Engineering, MBA.
  • Your passion is focused on the design of algorithms and products to solve real, pressing problems using data
  • Obsessed with data, very strong quantitative and analytical muscle
  • Have 1+ years of experience with predictive modeling and statistical analysis techniques in a business environment. Exceptional recent graduates will also be considered.

Responsibilities:

  • Creates methods of obtaining data that can be used for data sciences; Identifies ways to improve current data mining for future recommendations to reduce manual manipulation of data.
  • Adeptly interpret and utilize mass quantities of data to generate innovative hypotheses & insights, and present these insights to the different stakeholders
  • A strong passion for empirical research and for answering hard questions with data
  • Good understanding of statistical and machine learning modeling concepts.
  • Strong with R / Python programming or any other open source programming language.
  • Good Exposure to data mining, web data scrapping and data wrangling using R / Python or any other open source programming language
  • Strong understanding and exposure to Natural Language Processing (NLP) and text data mining tasks a plus.
  • Exposure to supervised / unsupervised classification techniques and approaches specific to Document clustering, Topic modeling and other NLP tasks
  • Experience and exposure in various data extraction methods (like data extraction from PDF Files, JSON, HTML and Java Script rendered web pages, etc.) a plus
  • Develop, maintain, track and identify fine-tuning opportunities for existing machine learning models for different business problems.
  • Consider the full impact of your work. This means considering privacy, ethics, and regulation, as well as the performance of your code and the accuracy of your models.

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