Download the Data Science and AI Jobs Outlook 2025 Report to understand how generative AI impacts data science and analytics jobs in India. Discover seismic shifts in salary trends, job roles, and the advent of new skills fueling GenAI’s impact on employment and hiring trends.
The Indian job market is undergoing a seismic shift, with Generative AI taking the lead. Multiple job roles have evolved overnight owing to automation and cost-cutting strategies. While the job market looks chaotic, there is also a steep growth curve that most aspirants, hiring managers, and stakeholders must catch up on. It might be slow, but India’s AI-enabled data science jobs will revamp the job market and hiring trends.
This report is divided into six sections, each interconnected to the other. The report answers a few pressing questions , such as –
- Will Generative AI replace traditional jobs completely?
- What are the skills to master to stay relevant for at least the next 5-10 years, if not more?
- Will India ever come out of inflation?
- Will hiring resume in full force sometime soon? What are salary fluctuations in AI-based data roles?
- How do they compare with traditional roles?
- How is India addressing the AI talent gap?
- What is the ideal career roadmap to stay relevant?
This report is a research and analysis of the current job market, new trends, and hiring opportunities.
Chapter 01: Generative AI and Data Science in India
According to Nasscom, India ranked 1st in AI skills penetration with a 3.09 score in 2023. That same year, India’s AI talent base touched 416,000 professionals (as of Aug. 2023), reflecting a demand of almost 629,000 professionals.
Despite the high demand, the skill gap remained at 51%.
Fast-forward to 2024. Nasscom revealed a 25-35% CAGR growth for India’s AI market in the next 4 years. India swiftly moved to second position in the AI talent base as the AI and Gen. AI tech services industry and startup ecosystem saw steady growth.
AI is at the heart of India’s digital economy transformation. It is fueling technologies that are bringing automation-led productivity enhancements. From virtual assistants to integrating AI in decision-making systems, India is witnessing a staggering growth of AI within Indian organizations.
In 2022, four sectors were at the forefront of embracing AI technologies, which increased to seven in 2024.
The dramatic impact of AI has increased from 60% to 66% in the last five years. This is more visible as almost 52% of professionals express nervousness around AI products and services, marking a 13% point rise from 2022.
Chapter 02: How Jobs Have Evolved with the Onset of GenAI?
The work landscape is undergoing a seismic shift as generative AI advancements redefine job roles, industries, and daily routines. This is also a consequence of Indian Enterprises’ growing adoption of AI.
The AI adoption Index from 2022 to 2024 has evolved from strategy to execution. What was once about vision, budget, tech readiness, and risks now focuses on AI lifecycle maturity, skills, use cases, and budget.
02.01. India’s AI Maturity
Despite the progress, several challenges are causing companies to encounter friction when scaling their AI initiatives and moving to a higher maturity stage.
- Not tying AI outcomes to business goals.
- Inconsistent supply of compliant and quality data.
- Lack of leadership and direction within the organization.
- Shortage of AI-skilled professionals to lead AI initiatives.
Skills like AI literacy, data analysis, and knowledge of how to work with AI systems are now essential.
Rooting learning in traditional data concepts is one part of the story. Merging this knowledge with present technology and leveraging AI to drive better business outcomes is a core skill that almost every company seeks.
Professionals will need to adapt to new demands and learn to coexist and collaborate with highly intelligent machines, which is easier said than done.
02.02. Data Science AI Jobs: New Roles on the Rise
Like any technology in the block, talks about new job roles around generative AI are constantly in the headlines. As professionals embrace and explore the possibilities of Gen. AI across various industries and fields, a few new job roles are slowly gaining momentum.
Chapter 03: Analyzing the Growing AI Talent Gap in India
According to recent research, the impact of AI on the overall job market will look like this by 2025:
- New jobs created due to AI: 97 million
- Old jobs lost due to AI: 85 million
Bridging the AI skill gap is urgent. As more investments are made in AI-driven technologies, companies will open up roles that require core AI skills.
This stature applies to all industries, including the data science and analytics market. Integrating data with AI is the base on which these advanced systems function.
While traditional data knowledge is essential to building such technologies, it also requires professionals to be conversant with AI, why it is taking over the market, and what powers it harnesses to create a robust, scalable, and valuable system.
The problem is that data scientists still need to become skilled in AI intelligence.
Another major point is that data science requires a highly experienced professional. A 30-year experienced professional is seldom heard of in the current date. Even if you find a professional with 10+ years of experience professional, they have a high salary demand.
The gap is not just in the need for more skilled professionals but also experience-wise. Skilled professionals in the 0-6 years of band are hard to find and most in demand.
Chapter 04: Changes in Salary Trends
India is emerging as a key global player in the AI landscape, backed by various government initiatives. The Indian Government is actively fueling the growth of AI through initiatives like:
- Digital India Program to transform India into a digital-first country
- Startup India Program to fund and encourage startups with the required resources
- Establishing research and development centers to facilitate AI innovation and education
India is home to startups and MNCs focusing heavily on Generative AI. Consequently, the need for skilled data professionals conversant with AI is increasing, fueling the rise of educational courses in AI.
The demand also directly impacts salary for various data science-related roles.
Chapter 05: The GenAI-led Data Science Hiring Scenario in India
The talent crunch is as real as it can get in India. This directly impacts how enterprises approach AI for their organizations.
Building expertise in-house is relatively challenging because companies need help hiring and retaining talent over a considerable period of time.
Due to the field’s novelty, hiring dedicated AI leadership teams is extremely difficult. Only some professionals have more than five years of experience in AI alone to take over leadership roles. As a result, companies are relying on IT heads to own AI initiatives with ad hoc execution teams.
- Research shows that only 8% of companies in the mature stage of AI adoption have designated AI leaders. These professionals are responsible for envisioning and leading enterprise-scale AI initiatives in an ineffective and agile way.
- Only 13% of enterprises have dedicated AI teams in India, pinpointing the glaring talent crunch in AI.
Chapter 06: Building a GenAI-based Data Science Career
Generative AI and Data Science are two powerful fields. However, what’s interesting is that they complement each other, can drive innovation, and can solve complex problems (across various domains) together.
Data Science is a multidisciplinary field that combines statistics, mathematics, computer science, storytelling, business acumen, and domain expertise to extract insights from various kinds of data.
Due to the exponential growth in data generation due to digital devices and online activities, data science has become indispensable across numerous sectors, including banking, finance, healthcare, and marketing.
06.01. The Broader Impact:
The synergy between Data Science and Gen AI has the potential to lead to a creative and collaborative approach. Thanks to Gen AI, Data scientists can now concentrate on the “why” and “how” of data analysis while Gen AI deals with the “what”.
This collaboration allows data scientists to understand the data and the phenomena it represents, enhance decision-making, automate tasks, and drive innovation, pushing boundaries of what is possible with data science.
As companies prepare to reskill and upskill existing talents, it is also a wake-up call for learning professionals to embrace core AI skills that work in tandem with data science skills.
06.02. Learning Roadmap:
To incorporate Gen AI in data science, most data science programs follow a four-step Generative AI learning path.
06.03. Data Scientist vs. GenAI – Who Will Replace What?
A common misconception is that Gen AI will take over data scientists. While it’s true that Gen AI can automate repetitive data science tasks, it is unlikely to replace data scientists. Several human skills, such as strategic thinking, creativity, ethics, and communication, remain vital and are not a forte of Gen AI.
Generative AI, on the other hand, can help augment data scientists’ productivity, enabling them to focus on more critical tasks like high-value analysis and strategic thinking.
The rise of generative AI has created new job opportunities. Here are some of the top roles that you should consider. We have provided the kind of responsibilities to expect and the skills required to fulfill those responsibilities for each job role.
06.04. Where to Start Learning?
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