Join AntWalk as a Data Science intern! Work from home, earn ₹10,000/month, and gain experience in content development, research, and program management in EdTech. Apply by 24th Nov’24.
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Data Science Internship at AntWalk | Remote | ₹10,000/Month Stipend
Table of Highlights
| Internship Title | Data Science Internship at AntWalk |
|---|---|
| Start Date | Immediately |
| Duration | 6 Months |
| Stipend | ₹10,000 per month |
| Application Deadline | 24th Nov’24 |
| Location | Work from Home |
| Work Type | Part-time, Remote |
| Number of Openings | 4 |
About AntWalk
AntWalk is a pioneering EdTech platform that assists high-growth companies in building an intelligent workplace by empowering professionals with essential skills. With a network of over 3,000 experts from 500+ global brands, AntWalk provides employees access to expert-led knowledge sessions, live group classes, and personalized mentorship. Founded by experienced professionals from McKinsey and ISB, AntWalk is backed by prominent investors, including Y-Combinator and Matrix Partners.
About the Role : Data Science Internship
As a Data Science Intern in AntWalk’s Data Science Academy, you will have the opportunity to shape learning experiences for technology professionals. Your role will include content creation, research, program coordination, and client engagement, giving you comprehensive exposure to EdTech program management.
Key Responsibilities
Research & Content Development
- Conduct industry research on areas like software engineering, IT, Data Science, and AI.
- Assist in creating content for technology-based learning programs.
Program Support
- Help manage the logistics of online and offline sessions and coordinate with trainers and team members.
Client Engagement
- Assist in preparing client presentations and brainstorming for custom learning programs tailored to client needs.
Collaborative Projects
- Work with product, marketing, and sales teams to ensure alignment and smooth operations.
Program Tracking
- Monitor program progress, collect feedback, and contribute to continuous improvement.
Skill(s) Required For Data Science Internship
- Technical Skills: AWS, CSS, Hadoop, Machine Learning.
- Content Development: Strong writing and research skills.
- Basic Cloud Knowledge: Familiarity with AWS, Azure, or Google Cloud.
Who Can Apply For Data Science Internship
To qualify, candidates should:
- Be available for a work-from-home internship.
- Start between 24th Oct’24 and 28th Nov’24.
- Commit to a 6-month duration.
- Have relevant skills and interests in technology and EdTech.
Other Requirements
- Educational Background: Currently enrolled or recently graduated in Computer Science, IT, or a related field.
- Interest in Data Science and AI: A passion for learning and working in data science, AI, or digital transformation.
- Communication Skills: Ability to create content and interact with clients effectively.
- Fast-paced EdTech Environment: Enthusiasm for a dynamic startup environment.
Perks
- Certificate of Completion
- Flexible Work Hours
- Professional Development in EdTech
Q&A Section : Data Science Internship
- What’s the stipend for Data Science Internship?
The stipend is ₹10,000 per month. - Is this a remote Data Science Internship?
Yes, this is a work-from-home internship. - When is the application deadline?
Applications are open until 24th Nov’24. - What skills are needed?
Required skills include AWS, Hadoop, CSS, and Machine Learning. - What are the primary responsibilities?
Responsibilities include research, content creation, program support, and client engagement. - What’s the Data Science Internship duration?
This is a 6-month part-time internship. - Who can apply?
Candidates with a background in Computer Science, IT, or related fields. - What makes this internship unique?
Gain exposure to EdTech and data science program management. - Are there any specific technical requirements?
Knowledge of AWS, Azure, or Google Cloud is advantageous. - How does AntWalk support career growth?
AntWalk offers access to expert mentorship and live sessions, aiding in professional growth.
Tips & Tricks to Crack the Interview : Data Science Internship
- How should I highlight my knowledge of Data Science?
Discuss any relevant projects or courses related to Data Science, AWS, or Hadoop. - What’s important to showcase about cloud platforms?
Mention any hands-on experience with AWS, Azure, or Google Cloud. - How can I demonstrate my research skills?
Share examples of content development or research projects you’ve completed. - How should I approach questions about EdTech?
Emphasize your interest in technology-driven education and your familiarity with online learning tools. - What’s key to success in program support?
Showcase your organizational skills and experience in managing events or logistics. - How do I convey my teamwork skills for this role?
Share examples of collaborative projects with teams or departments. - What should I know about content creation?
Discuss your ability to create engaging and educational content for technology professionals. - How can I highlight my client engagement skills?
Share any experience with client-facing roles or presentation skills. - What’s important to mention about program tracking?
Talk about experience with monitoring projects or gathering feedback for improvement. - What does AntWalk look for in candidates?
AntWalk values candidates who are enthusiastic about EdTech and show a strong passion for learning and development.
How to Apply
Click Here to Apply for the Data Science Internship at AntWalk! Don’t miss this chance to gain real-world experience in the dynamic EdTech industry. Apply by 24th Nov’24 to start your journey with AntWalk.
“This internship post is well-detailed, providing clarity on the responsibilities and required skills for the Data Science Internship at AntWalk. Including additional information about career advancement and specific tools used would appeal to candidates with a stronger technical background. Describing collaborative projects in detail and the direct impact on AntWalk’s EdTech offerings would also help applicants understand the exciting scope of this role. Overall, this is a great opportunity for those passionate about data science and program management in EdTech!”