Quick take: ONGC Centre of Excellence seeks Data Scientists (3-year contract) for exploration analytics using ML/deep learning on seismic data. ₹1.2–1.8L/month, Mumbai. Direct application—no exam required. M.Tech/MS Data Science + 3–7 years experience.
ONGC's Centre of Excellence in Data Analytics is hiring Data Scientists for a 3-year fixed-term contract in Mumbai. This is your chance to work on India's largest energy company's most critical challenges—using machine learning and data science to optimize oil and gas exploration and production. The role is on-site in Mumbai with field travel, directly applying advanced analytics to real-world petroleum problems.
You're a mid-level Data Scientist with 3–7 years of hands-on experience in machine learning. ONGC requires an M.Tech or MS degree in Data Science, Petroleum Engineering, Geophysics, or a related field with formal ML training. You should have solid Python skills, understand gradient boosting and deep learning frameworks, and ideally have curiosity about domain applications like seismic or well-log analysis. Freshers or junior candidates without the required experience need not apply—ONGC is looking for someone ready to contribute immediately on complex analytics projects.
This Data Scientist contract role pays ₹1,20,000–₹1,80,000 per month (₹14.4–₹21.6 lakhs annually). For a mid-level Data Scientist salary in India, especially in a government PSU like ONGC, this is competitive and reflects the specialized domain expertise required. Data Scientist salaries in India typically range ₹12–₹25 lakhs depending on experience and sector; ONGC's offer sits solidly in the middle-to-upper band for a 3-year contract role.
This is a direct application role—no ONGC GT exam required. You apply online through ONGC's careers portal (ongcindia.com/careers) with your resume and qualifications. The application deadline is June 15, 2026, so if you're interested in this Data Scientist position in Mumbai, submit your application soon. Selection is based on your profile, experience, and technical fit for the Centre of Excellence analytics team.
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