Data Scientist

NatWest Group is hiring a Data Scientist in Gurugram, India. Level rates it ; you can apply on NatWest Group.

Level's read on this job

On Level's scale, this data scientist role is Builds AI ●●●●: the job is building AI systems.
Tools and skills the posting cites include LangChain, LangGraph and scikit-learn.
Level classifies it as a mid-level role.
Level lists 84 other open roles at NatWest Group.
The role was posted in the last few days.

AI in this role

Data Scientist focusing on machine learning, LLMs, and agentic AI systems to drive customer solutions end-to-end.

langchainlanggraphscikit-learnsagemakerpythonlangfuse

nlpmachine-learningstatistical-modelingllmsagentic-ai

Join us as a Data Scientist

You’ll design and implement data science tools and methods which harness our data in order to drive market leading purposeful customer solutions
We’ll look to you to actively participate in the data community to identify and deliver opportunities to support the bank’s strategic direction through better use of data
This is an opportunity to promote data literacy education with business stakeholders supporting them to foster a data driven culture and to make a real impact with your work
We're offering this role at associate level

What you'll do

As a Data Scientist, you’ll bring together statistical, mathematical, machine-learning and software engineering skills to consider multiple solutions, techniques and algorithms to develop and implement ethically sound models end-to-end. We’ll look to you to understand the needs of business stakeholders, form hypotheses and identify suitable data and analytics solutions to meet those needs in order to support the achievement of our business strategy.

You’ll also be:

Using data translation skills to work closely with business stakeholders to define detailed business questions, problems or opportunities which can be supported through analytics
Applying a software engineering and product development lens to business problems, creating, scaling and deploying software driven products and services
Working in an Agile way within multi-disciplinary data and analytics teams to achieve agreed project and scrum outcomes
Selecting, building, training and testing machine learning models considering model valuation, model risk, governance and ethics, making sure that models are ready to implement and scale
Iteratively building and prototyping data analysis pipelines to provide insights that will ultimately lead to production deployment

The skills you'll need

You’ll need a strong academic background in a STEM discipline such as Mathematics, Physics, Engineering or Computer Science. You’ll have experience with statistical modelling and machine learning techniques.

We’ll also look for financial services knowledge, and an ability to identify wider business impact, risk or opportunities and make connections across key outputs and processes. You will nedd an experience of 4+ years in the below skillset.

You’ll also demonstrate:

Agentic AI & LLM ExpertiseProficiency in agentic frameworks like LangGraph, LangChain, LangFuse, MCP; strong understanding of LLMs, transformer architectures, and traditional NLP techniques for building intelligent, autonomous AI systems.
Technical & Cloud SkillsExpert in Python programming and libraries (Pandas, NumPy, scikit-learn); hands-on experience with cloud platforms for model training and deployment; tech-savvy with distributed systems and web technologies like Node.js, React.js.
Machine Learning FundamentalsDeep knowledge of statistical concepts, linear algebra, and calculus for optimization; skilled in predictive modeling, time series analysis, deep learning, and neural networks for robust data-driven solutions.
LLM Operations & Domain KnowledgeAbility to manage and operationalize large language models; deploy models on AWS SageMaker, Google AI Platform, IBM Watson; retail banking insights and distributed systems understanding are valuable additions.

Hours

Job Posting Closing Date:

11/11/2026

How we rate this

Data Scientist at NatWest Group rates 85 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 NatWest Group.
Level rates this role AI Level 4 of 4: Builds AI.
The role is based in Gurugram.
The job was posted on October 29, 2026.
Seniority: mid.
Applications are handled by NatWest Group. Apply on NatWest Group

Prepare for this job

Built from this posting and from similar jobs on Level.

Skills and AI tools this role asks for

NLPMachine learningStatistical ModelingLLMsAgentic AILangChainLangGraphscikit-learn

Also common in data scientist jobs at this level

SQL Generative AI Spark PyTorch RAG MLOps

Pay

Typical data scientist job: $165k

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

What NLP problem have you worked on, and how did you measure whether it actually worked?
Tell me about a project where machine learning was part of your work. What did you do?
Tell me about a project where statistical modeling was part of your work. What did you do?
Tell me about a project where llms was part of your work. What did you do?
Tell me about a project where agentic ai was part of your work. What did you do?

Adapt your resume

List these exact terms on your resume: NLP, Machine learning, Statistical Modeling, LLMs, and Agentic AI. 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.

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