Struggling with Data Science Jobs? Is GenAI Your Missing Skill?

You did everything right, learned Python, practiced Pandas, completed a data science course, and built projects. Yet, interview calls are slow or not coming at all. This situation is becoming common for freshers. The reason isn’t that data science is saturated; it’s that the way companies hire data talent has changed, and many fresher skill sets still reflect the old way of working.

Why So Many Freshers Are Stuck Despite Learning Data Science?

Most fresher resumes look almost identical today: Python basics, Pandas, a few machine learning algorithms, and certificates. Recruiters review dozens of such profiles every week. What they consistently say is missing is speed, real-world problem-solving, and GenAI exposure. Companies don’t want candidates who take weeks to manually analyze data. They want analysts who can move fast, adapt tools, and clearly explain insights.

What Do Recruiters Mean by “GenAI Skills”?

When recruiters ask for “GenAI skills,” they’re not talking about writing prompts alone. They expect freshers to use tools like ChatGPT with Pandas, SQL, or BI platforms to speed up analysis, generate cleaner code, identify patterns faster, and convert raw results into business-ready explanations. 

Freshers who rely only on traditional EDA and handwritten scripts often struggle to keep up in interviews. 

Augmented Analytics - Stop Spending Weeks on What AI Does in Minutes

Not long ago, freshers spent weeks cleaning data, writing repetitive code, and building basic reports. With augmented analytics, AI now automates many of these steps, highlighting anomalies, suggesting insights, and accelerating exploration. 

Freshers can build dashboards, summaries, and reports in days instead of months. This efficiency is exactly what recruiters test through assignments and real-world scenarios.

GenAI Projects That Actually Get Freshers Shortlisted

Certificates are not enough to create impact. Projects do. GenAI-powered projects stand out because they show how you work, not just what you know. 

ChatGPT-assisted data analysis, AI-supported SQL queries, and Power BI dashboards built with AI-generated insights signal that a fresher understands modern workflows and can apply GenAI responsibly, not just experiment with it.

This is also why many freshers start looking beyond theory-heavy programs and search for the best software training institute in Madurai that focuses on practical, industry-aligned data skills rather than just certificates.

Why Generative AI Creates Equal Opportunities in Data Science Hiring

For freshers, GenAI helps reduce the lack of skill gap. With the right tools, even non-CS and B.Sc. graduates can analyze data faster, explain insights more clearly, and build stronger portfolios.

Because of this shift, roles like 

• Data Analyst
• Business Analyst
• Junior Data Scientist

Many offering ₹5–10 LPA are already expecting GenAI exposure. Hiring managers are looking for portfolios that show AI-assisted workflows, not just textbook models.

Conclusion

GenAI is quietly becoming part of everyday analytics work, not an add-on skill. Freshers who learn to use it early find it easier to explain insights and stand out in interviews. Programs like the Osiz Labs Data Science course in Madurai**** focus on Python fundamentals, GenAI-assisted analysis, hands-on projects, portfolio building, expert mentorship, and placement guidance, helping learners move forward in their careers.

Osiz Labs also offers flexible internship programs for 15-day, 1-month, and 3-month options with certification, allowing students to choose their domain and gain practical experience to launch their tech career with the right first step. 

Website: https://www.osizlabs.com/blog/data-science-course-in-madurai

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