Padmi

Data Science

Remote · IndiaPosted 1 month ago
Data Science And StatisticsInternINTERN, PART TIME
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About the internship: As a Data Science intern at Emoolar Technology Private Limited, you will have the opportunity to work on cutting-edge projects that leverage Machine Learning and Data Science techniques. You will be an integral part of our team, helping to analyze data, develop models, and provide actionable insights to drive business decisions. Key Responsibilities: 1. Assist in developing predictive models to improve business outcomes. 2. Collaborate with team members to gather, clean, and analyze data from various sources. 3. Conduct research on new Machine Learning algorithms and technologies. 4. Create visualizations and reports to effectively communicate findings to stakeholders. 5. Optimize existing models for better performance and accuracy. 6. Participate in brainstorming sessions to generate new ideas for data-driven solutions. 7. Stay up-to-date on industry trends and best practices in Data Science and Machine Learning. If you are passionate about data and eager to gain hands-on experience in a fast-paced environment, we want to hear from you! Join us at Emoolar Technology and make an impact with your skills in Data Science and Machine Learning. Who can apply: Only those candidates can apply who: are available for the work from home job/internship can start the work from home job/internship between 30th Jul'26 and 3rd Sep'26 are available for duration of 3 months have relevant skills and interests Stipend: INR₹ 3,000 - 4,000 /month Deadline: 2026-08-29 23:59:59 Other perks: Certificate, Letter of recommendation, Flexible work hours, 5 days a week Skills required: Machine Learning and Data Science About Company: At Emoolar, we are a leading provider of comprehensive IT services tailored to meet the evolving needs of businesses in the digital age. With a commitment to excellence and innovation, we deliver cutting-edge solutions that empower organizations to thrive in today's dynamic and competitive landscape.

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