AnalytixLabs

GenAI and ML salaries in India (2026 benchmarks):

» 𝗦𝗲𝗻𝗶𝗼𝗿 𝗚𝗲𝗻𝗔𝗜 + 𝗠𝗟 𝘀𝗽𝗲𝗰𝗶𝗮𝗹𝗶𝘀𝘁𝘀: 28-32 LPA
» 𝗔𝗜 𝗘𝗻𝗴𝗶𝗻𝗲𝗲𝗿𝘀: 15-22 LPA
» 𝗘𝗻𝘁𝗿𝘆-𝗹𝗲𝘃𝗲𝗹 𝗗𝗮𝘁𝗮 𝗦𝗰𝗶𝗲𝗻𝘁𝗶𝘀𝘁𝘀: 6-10 LPA
» 𝗣𝗿𝗼𝗺𝗽𝘁 𝗘𝗻𝗴𝗶𝗻𝗲𝗲𝗿𝘀: 8-15 LPA

The 50-55% talent gap means demand is outpacing supply. For those with the right skills, the market has never been more favorable.

Source: 𝐀𝐈 𝐒𝐤𝐢𝐥𝐥𝐬 𝐏𝐥𝐚𝐲𝐛𝐨𝐨𝐤 𝟐𝟎𝟐𝟔 (https://www.analytixlabs.co.in/free-resources/)

𝖬𝗈𝗌𝗍 𝖽𝖺𝗍𝖺 𝖺𝗇𝖺𝗅𝗒𝗍𝗂𝖼𝗌 𝖿𝗋𝖾𝗌𝗁𝖾𝗋𝗌 𝖺𝗉𝗉𝗅𝗒 𝗍𝗈 𝟧𝟢+ 𝗂𝗇𝗍𝖾𝗋𝗇𝗌𝗁𝗂𝗉𝗌 𝖺𝗇𝖽 𝗁𝖾𝖺𝗋 𝖻𝖺𝖼𝗄 𝖿𝗋𝗈𝗆 𝟥. 𝖳𝗁𝖾 𝗉𝗋𝗈𝖻𝗅𝖾𝗆 𝗂𝗌𝗇'𝗍 𝗍𝗁𝖾 𝗏𝗈𝗅𝗎𝗆𝖾. 𝖨𝗍'𝗌 𝗍𝗁𝖾 𝖺𝗉𝗉𝗋𝗈𝖺𝖼𝗁.

We mapped the full internship journey ➡️ from finding the right opportunities to converting them into full-time roles and built it into one guide.

We built the full 𝗗𝗮𝘁𝗮 𝗔𝗻𝗮𝗹𝘆𝘁𝗶𝗰𝘀 𝗜𝗻𝘁𝗲𝗿𝗻𝘀𝗵𝗶𝗽 𝗚𝘂𝗶𝗱𝗲 🔗https://www.analytixlabs.co.in/blog/data-analytics-internship/

→ Where to find legitimate analytics internships in India
→ What skills interviewers actually test before selecting interns
→ How to build a portfolio that gets you shortlisted
→ The application mistakes killing your response rate
→ How to turn an internship into a return offer

If you're a fresher, switching career, or a student trying to break into analytics, this guide is built for you. So you don't have to figure it out by trial and error.

📥 Read it free here: 👉 https://www.analytixlabs.co.in/blog/data-analytics-internship/

What's the biggest challenge you've faced while applying for analytics internships? Drop it below 👇

You prepared for technical questions. You practiced coding problems.

But here is what actually separates candidates:

1. Problem framing
2. Communication with non-technical stakeholders
3. Curiosity about the data
4. Trade-off thinking in model selection
5. Real end-to-end project experience

Technical skills get you the interview. These get you the offer.

Want to build a career in Data Science and Artificial Intelligence but don’t know where to begin?

With so many tools, technologies, frameworks, and learning paths available, getting started can feel overwhelming. A structured roadmap can help you focus on the right skills, projects, and concepts step by step.

Explore the complete 𝐃𝐚𝐭𝐚 𝐒𝐜𝐢𝐞𝐧𝐜𝐞 𝐚𝐧𝐝 𝐀𝐈 𝐑𝐨𝐚𝐝𝐦𝐚𝐩: 𝐁𝐞𝐠𝐢𝐧𝐧𝐞𝐫𝐬' 𝐆𝐮𝐢𝐝𝐞: https://www.analytixlabs.co.in/blog/data-science-and-ai/

𝘛𝘩𝘪𝘴 𝘣𝘦𝘨𝘪𝘯𝘯𝘦𝘳-𝘧𝘳𝘪𝘦𝘯𝘥𝘭𝘺 𝘨𝘶𝘪𝘥𝘦 𝘸𝘢𝘭𝘬𝘴 𝘺𝘰𝘶 𝘵𝘩𝘳𝘰𝘶𝘨𝘩:

✔ Fundamentals of Data Science and AI
✔ Essential programming languages and tools to learn
✔ Key concepts in statistics, machine learning, and deep learning
✔ Recommended learning sequence for beginners
✔ Career opportunities in AI and Data Science
✔ Tips to build projects and industry-relevant expertise

Whether you’re a student, working professional, or someone planning a career transition into tech, this roadmap provides a clear direction to begin your journey confidently.