Data Science Intern

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Data Science

Blackcoffer

Start Date
Starts immediatelyImmediately
Duration
6 Months
Stipend
₹ 6,000-10,000 /month
APPLY BY
18 Jun' 19
Posted 3 weeks ago
Internship
198 applicants

About the internship

Selected intern's day-to-day responsibilities include:

1. Work on data technologies, data mining, data transformation, and data analysis
2. Develop data models on Python, web scrapers, crawler, parser, etc. to solve big data problems
3. Develop data technologies like web crawlers, parser, and scrapers to solve the toughest problem of the world
4. Work on sentiment analysis, data scraping, parsing, and web mining
5. Work on ELT, ETL, data integration, data lake management, and analysis

Skill(s) required

Data Analytics Natural Language Processing (NLP) Python
Earn certifications in these skills

Who can apply

Only those candidates can apply who:

1. are available for full time (in-office) internship

2. can start the internship between 6th Jun'19 and 6th Jul'19

3. are available for duration of 6 months

4. have relevant skills and interests

Perks

Certificate Letter of recommendation Flexible work hours

Number of openings

2

About Blackcoffer

Blackcoffer is an enterprise software and analytics consulting firm based in India and the European Union (Malta). It is a data-driven, technology, and decision science firm focused exclusively on big data and analytics, data-driven dashboards, applications development, information management, and consulting of any kind, from any source, on a massive scale. We are a young and global consulting shop helping enterprises and entrepreneurs solve big data and analytics, data-driven dashboards, applications development, and information management problems to minimize risk, explore opportunities for future growth, and increase profits more effectively. We provide intelligence, accelerate innovation, and implement technology with extraordinary breadth and depth of global insights into big data, data-driven dashboards, application development, and information management for organizations by combining unique and specialist services and high-level human expertise.
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