Data Scientist

Thales is hiring a Data Scientist in Noida, Uttar Pradesh, India. The details below summarise the employer's own listing; applications happen on the original posting, not on GetFirstJob.

What the work involves

• Location: Noida, India
• Thales is a global technology leader trusted by governments, institutions, and enterprises to tackle their most demanding challenges
• From quantum applications and artificial intelligence to cybersecurity and 6G innovation, our solutions empower critical decisions rooted in human intelligence
• Operating at the forefront of aerospace and space, cybersecurity and digital identity, we’re driven by a mission to build a future we can all trust
• Over 2200 employees are working with Thales and its joint ventures in India
• Thales has two engineering competence centres in India
• one in Noida focused on Cyber & Digital business, while the one in Bengaluru focuses on hardware, software and systems engineering capabilities for both the civil and defence sectors, serving global needs
• The Group has also established an MRO (Maintenance, Repair & Overhaul) facility in Gurugram to provide comprehensive avionics maintenance and repair services to Indian airlines and support the growth of the local aviation industry
• This role focuses on developing scalable AI solutions, building intelligent data products, and delivering business insights through advanced analytics and Generative AI capabilities
• Build and deploy regression, classification, segmentation and other ML/AI models

What they are looking for

• Present in India since 1953, Thales is headquartered in Noida and has other operational offices and sites spread across Delhi, Gurugram, Bengaluru and Mumbai, among others
• Since the beginning, Thales has been playing an essential role in India’s growth story by sharing its technologies and expertise in Defence, Aerospace and Cyber & Digital sectors
• We are looking for a skilled Data Scientist / AI Engineer with strong experience in Data Science, AI, and Generative AI on Databricks
• The ideal candidate should have hands-on expertise in building regression, classification, and segmentation models and working with large-scale data using Python, PySpark, and SQL on GCP cloud environment

Pay and dates

The listing does not state pay. The source page shows a relative posting age rather than an exact posting date; this role was first seen and checked as open on 4 November 2026. The source page showed it as posted “2 weeks ago” when captured; that is a relative stamp, not an exact date.

How to apply

Apply on the listing where the employer published this role: Data Scientist at Thales. We found this listing via linkedin.com; it was still open when we checked on 4 November 2026. If the posting has closed or the link fails, the role may have been filled.