Time since we first saw it
Day 8
Similar jobs usually come down between day 8 and day 60.
From 11,783 similar postings that came down. Coming down is not always a hire.
Data Scientist
Noida, India
Actively hiring, first seen by us 8 days ago- Pay
- Pay not listed
- Work setting
On-site — work setting source
Work setup in the employer’s posting: On-Site
From the employer’s posting- Employment
- Not stated
What you’ll work on
Full postingBuild and deploy regression, classification, segmentation and other ML/AI models
Design end-to-end ML pipelines on Databricks
Build ETL pipelines on Databricks and Delta Lake
Develop predictive and prescriptive analytics solutions
Work with large-scale data using PySpark and SQL
From the employer’s posting
Build and deploy regression, classification, segmentation and other ML/AI models
Design end-to-end ML pipelines on Databricks
Build ETL pipelines on Databricks and Delta Lake
Develop predictive and prescriptive analytics solutions
Work with large-scale data using PySpark and SQL
What you’ll bring
All qualificationsCore experience
- 10-12 years in data science, AI or machine learning
- Python, PySpark and SQL
- Machine learning and data analysis
- Hands-on experience with Databricks
- Experience in production ML model development
Preferred experience
- GCP (Google Cloud Platform)
- Generative AI and LLMs
- BigQuery, MLflow, RAG and prompt engineering, MLOps and CI/CD
Qualification wording
10-12 years in Data Science / AI / Machine Learning
Python • PySpark • SQL
Machine Learning • Databricks • Data Analysis and Problem Solving
Hands-on experience with Databricks
Experience in production ML model development
GCP (Google Cloud Platform)
Generative AI and LLMs
BigQuery
Posting record
Report an errorActively hiringFirst seen by us 8 days ago, still listed, and not a repost of an earlier posting.
- Status in our records
- Live
- First seen by us
- Nov 5, 20268 days ago
- Recorded sightings
- 9
- Last seen by us
- Nov 13, 2026
- Employer says posted
- Apr 18, 2026
These dates show when we found the posting. Check the employer’s website to confirm it is still accepting applications.
How this job compares
Thales is hiring
28 open jobs
Open jobs by the week we first saw them, last 12 weeks.
Hiring recordSee how this role fits your experience
Add your resume and we’ll mark which of these tools you already use, and point out anything in the posting that could rule you out.
- Python
- SQL
- BigQuery
- Databricks
- Delta Lake
- GCP
- MLflow
- PySpark
Where the posting names them
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. Over 2200 employees are working with Thales and its joint ventures in India. 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. 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. 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. This role focuses on developing scalable AI solutions, building intelligent data products, and delivering business insights through advanced analytics and Generative AI capabilities.
Must Skills • Python • PySpark • SQL • Machine Learning • Databricks • Data Analysis and Problem Solving Preferred Skills
Key Responsibilities • Build and deploy regression, classification, segmentation and other ML/AI models • Perform data exploration, feature engineering, and model evaluation • Develop predictive and prescriptive analytics solutions • Design end-to-end ML pipelines on Databricks • Work with large-scale data using PySpark and SQL • Build ETL pipelines on Databricks and Delta Lake • Deploy models on GCP infrastructure • Collaborate with business teams and stakeholders Must Skills
Preferred Skills • GCP (Google Cloud Platform) • Generative AI and LLMs • BigQuery • MLflow • RAG and Prompt Engineering • MLOps and CI/CD Experience
Experience • 10-12 years in Data Science / AI / Machine Learning • Hands-on experience with Databricks • Experience in production ML model development Education
Your next step
Complete your application on thales.wd3.myworkdayjobs.com. The employer’s form will show what is required.
Applying through Phenom
- Phenom runs the employer’s careers site, but the application itself usually runs on another system, often Workday or Taleo. The advice for that system applies once you click Apply.
Already applied? Track this application
Has Thales posted this job before?
Yes. We’ve followed one other Data Scientist job there since November 2026. It is still up.
Demand for Data Scientist roles
New Data Scientist postings at the employers we follow are down 4% over the last 6 weeks compared with the 6 before.
Each bar is one week of new postings. The darkest bars are the last 6 weeks.
Counted from the hiring pages we’ve followed for at least five weeks, so employers we add don’t look like growth. Updated weekly.
About the role
We file this job under Data Scientist, by the work the posting describes.
Data scientists use statistics and models to answer harder questions, such as whether a change worked, what demand will look like next quarter, or which customers are likely to leave.
Postings usually ask for Python or R, SQL, statistics, experiment design and common machine learning methods.
Unlike an ML engineer, a data scientist's main output is often an analysis or a first model, not software running inside a product.
US government figures for data scientists
- Median yearly pay, May 2025
- $120,230
- Expected change, 2025 to 2035
- 34.6% more jobsagainst 3.5% for all jobs
Source: US Bureau of Labor Statistics, Occupational Employment and Wage Statistics (May 2025) and Employment Projections (2025 to 2035). Occupation code 15-2051.
Job description
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.
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. Over 2200 employees are working with Thales and its joint ventures in India. 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. 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.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.
This role focuses on developing scalable AI solutions, building intelligent data products, and delivering business insights through advanced analytics and Generative AI capabilities.
Key Responsibilities
• Build and deploy regression, classification, segmentation and other ML/AI models
• Perform data exploration, feature engineering, and model evaluation
• Develop predictive and prescriptive analytics solutions
• Design end-to-end ML pipelines on Databricks
• Work with large-scale data using PySpark and SQL
• Build ETL pipelines on Databricks and Delta Lake
• Deploy models on GCP infrastructure
• Collaborate with business teams and stakeholders
Must Skills
• Python
• PySpark
• SQL
• Machine Learning
• Databricks
• Data Analysis and Problem Solving
Preferred Skills
• GCP (Google Cloud Platform)
• Generative AI and LLMs
• BigQuery
• MLflow
• RAG and Prompt Engineering
• MLOps and CI/CD
Experience
• 10-12 years in Data Science / AI / Machine Learning
• Hands-on experience with Databricks
• Experience in production ML model development
Education
• B.Tech / M.Tech in Computer Science, Electronics, AI, Data Science, Statistics, or related field
Ideal Candidate
• Strong analytical mindset
• Business-focused
• Self-driven and innovative
• Strong collaboration and communication skills
At Thales, we’re committed to fostering a workplace where respect, trust, collaboration, and passion drive everything we do. Here, you’ll feel empowered to bring your best self, thrive in a supportive culture, and love the work you do. Join us, and be part of a team reimagining technology to create solutions that truly make a difference – for a safer, greener, and more inclusive world.
Source details
Source notes
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- Pay
No pay amount identified in the saved description.
- Location & working pattern
Noida, India
Working pattern and location restrictions need checking in the full posting.
- Work authorization
No clear work-authorization passage found. Eligibility is unconfirmed.