Pharma, FMCG, oil and gas lead hiring for AI/ML roles

Pharmaceuticals, FMCG, and oil and gas were among the top hirers for niche profiles like artificial intelligence/machine learning (AI/ML), cybersecurity, cloud computing, data science and big data analytics and blockchain in 2024. Due to the increasing demand for these profiles, and the shortage of experienced talent, companies led by GCCs (global capability centres) paid up to 30% higher salaries for these profiles, bringing the average pay appreciation to around 20% over 2023, staffing experts said.

“From 2023-2024, super-niche tech skills such as AI, ML, Cybersecurity, Data Science, and Blockchain experienced substantial pay increases, with compensation rising by 15-20%. This growth is primarily driven by the high demand for these specialised skills and the limited availability of qualified talent in these fields,” Krishna Vij, vice-president, TeamLease Digital, said.Apart from sectors like automobile and banking and financial services, segments like pharma/biotech, FMCG, and oil and gas emerged as significant hirers for these profiles.

As companies move to digitalise their operations and processes, enterprises are increasingly using a hybrid model where they not only outsource a part of their digital services requirements to IT/ITES companies, but also are growing their own tech talent pool, resulting in increased demand for these profiles.

Also Read Pharma companies unfazed by US developments India at the forefront of the AI and tech revolution: Key insights from new global labor report Putin lauds India’s leadership in providing “stable conditions” for SMEs through “Make in India” Fresher hiring for AI skills in IT sector jumps to 20-25% from 5-10% in 3 years

Across functions like AI, cloud computing and data analytics are reshaping business strategies, including sectors like pharma and oil and gas, which have a heavy dependence on research and development, staffing executives said.

“Pharmaceuticals leverage advanced analytics to fast-track drug discovery and deliver personalised medicine, while in oil and gas, these technologies drive smarter resource exploration and boost operational safety,” Sachin Alug, CEO, staffing firm NLB Services, said. For financial institutions ML is used for smarter fraud detection and risk management and consumer goods companies use data science to anticipate demand and tailor marketing strategies.

The unifying factor is the ability to turn vast data volumes into actionable insights, delivering competitive advantages and operational efficiency, making this niche talent pool attractive across sectors.As India becomes a preferred destination to set up GCCs,

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