Live opening · Posted 8 days ago

Data Science Intern

SkillOrbit · Bengaluru, Karnataka, India (On-site)
Linkedin No
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At a glance

The key details from the original listing.

Posted 8 days ago
CompanySkillOrbit
LocationBengaluru, Karnataka, India (On-site)
Work modeNo
SourceLinkedin
Listed8 days ago

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About the role

Description supplied by the original job listing.

Company Description
Company Name - SkillOrbit
Location - Bengaluru(on-site)
Eligibility - 0-1 Years (Freshers are Welcome)
SkillOrbit is a solutions platform at the intersection of education, talent, and technology, dedicated to empowering growth and elevating skills. Through E-Learning, HR Consultancy, and IT Services, we help individuals and organizations thrive in a rapidly evolving world. Our programs focus on bridging the gap between knowledge and employability while enabling businesses to innovate and optimize. Headquartered in Bengaluru, SkillOrbit acts as a growth partner, talent enabler, and technology catalyst for learners, companies, and organizations pursuing success.
Role Description
This is an on-site, full-time Data Science Intern role based in Bengaluru. As a Data Science Intern, you will support data-driven decision-making processes through data analysis and visualization. Your day-to-day tasks will involve applying analytical techniques, working with datasets, conducting statistical analyses, and utilizing modern data science tools and methodologies. You will collaborate with cross-functional teams to derive actionable insights and contribute to real-world projects.
Qualifications
Strong Analytical Skills and Logical Thinking
Proficiency in Data Science methods and applications
Experience with Data Analytics and Data Analysis tools
Solid knowledge of Statistics and its application in data interpretation
Proficiency in programming languages such as Python, R, or SQL is an advantage
Strong problem-solving skills and attention to detail
Enthusiasm for learning and experimenting with data in a real-world setting
Pursuing or completed a degree in Data Science, Statistics, Computer Science, or a related field

Work arrangement
No

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