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 Title||Philips Hiring For Data Analytics Summer Interns|
|Description||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.|
|Work Location||Pune – INDIA|
|Employment Type||FULL TIME|
Area of work: Intern will work on Data Analytics Area.
- 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.
- 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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