Data Scientist

Thales is hiring a Data Scientist in Noida, India. Level rates it ; you can apply on Thales.

Level's read on this job

On Level's scale, this data scientist role is Builds AI ●●●●: the job is building AI systems.
The posting mentions MLflow, Databricks and Python among its tools and skills.
Level classes it as a senior role.
Thales has 3,600+ other open roles on Level.

AI in this role

Build and deploy machine learning, AI, and Generative AI models and pipelines on Databricks and GCP.

MLflowDatabricksPythonPySparkSQLGoogle CloudDelta Lake

prompt-engineeringragml-opsai-evaluationmachine-learningdata-sciencegenerative-aidata-analysisfeature-engineeringmodel-evaluation

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.

How we rate this

Data Scientist at Thales rates 90 out of 100 for how much of the daily work is AI. That makes it Builds AI (AI Level 4 of 4). The level is about AI in the job, not seniority.

Classification

Builds AI. The job is building AI systems.

●●●● Builds AI80 to 100
●●●○ Works on AI60 to 79
●●○○ Uses AI40 to 59
●○○○ Little AI0 to 39

Levels come from how often the tools, models and workflows of the role are named in the posting itself. Read the description and count the AI tools, models and workflows it names.

Key facts

Data Scientist is an open job at Thales.
Level rates this role AI Level 4 of 4: Builds AI.
The role is based in Noida.
The job was posted on April 18, 2026.
Seniority: senior.
Applications are handled by Thales. Apply on Thales

Prepare for this job

Built from this posting and from similar jobs on Level.

Skills and AI tools this role asks for

Prompt engineeringRAGML OpsAI EvaluationMachine learningData ScienceGenerative AIData Analysis

Also common in data scientist jobs at this level

AWS PyTorch Deep learning NLP TensorFlow scikit-learn

Pay

Typical data scientist job: $168k

This posting doesn't list pay. Use the typical data scientist figure when pay comes up. See data scientist jobs

Questions you could be asked

How do you structure and test a prompt to get consistent output from a language model?
How would you design a retrieval step so the model answers from real data instead of guessing?
How do you monitor a model once it's live, and how do you know it needs retraining?
How do you decide that one model's output is better than another's for a given task?
Tell me about a project where machine learning was part of your work. What did you do?

Adapt your resume

List these exact terms on your resume: Prompt engineering, RAG, ML Ops, AI Evaluation, and Machine learning. An applicant tracking system matches the wording, not the idea.
Attach one line of real, concrete experience to at least one of them. A tool named with nothing behind it rarely survives a human read.
Lead with what you built, trained or shipped. This role is judged on the AI system itself, not the tools around it.

Get your CV reviewed before you apply

Send your CV and the role you want next. Your review arrives by email within 3 days.

Get a free CV review Check your resume with the ATS resume checker