Data Science Jobs in Mumbai - Statinfer
Data Science
Statinfer
Expired
Posted: 03 Jun 21
Job Description
About the internship
Selected intern's day to day responsibilities include:
1. Work using data science techniques, big-data tools, and machine learning algorithms with tools like R, Python, and Tensor Flow
2. Work using techniques like machine learning, deep learning, data analytics, and distributed computing
3. Work on R&D on ML and DL methods
4. Develop end-to-end solutions to a given business problem by applying the right data science concepts so that other students can refer and learn from these projects
1. Work using data science techniques, big-data tools, and machine learning algorithms with tools like R, Python, and Tensor Flow
2. Work using techniques like machine learning, deep learning, data analytics, and distributed computing
3. Work on R&D on ML and DL methods
4. Develop end-to-end solutions to a given business problem by applying the right data science concepts so that other students can refer and learn from these projects
Skill(s) required
Who can apply
Only those candidates can apply who:
1. are available for full time (in-office) internship
2. can start the internship between 31st May'21 and 5th Jul'21
3. are available for duration of 2 months
4. have relevant skills and interests
* Women wanting to start/restart their career can also apply.
Other requirements
1. Should be skilled at Python, data science, machine learning, and deep learning
Perks
Number of openings
2
Certificate: Will be provided at the end of the Internship
Job Particulars
Role it software engineer
Education Any Graduate, Other Course
Who can apply Freshers
Hiring Process Face to Face Interview
Employment TypeInternship / Projects
Job Id1217037
Job Category IT/Software
Locality Address
State Maharashtra
Country India
About Company
Statinfer
Statinfer is a data science e-learning startup. We deliver corporate training and self-paced online courses on data science, business analytics, machine learning and deep learning related topics.
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