NatWest Group is hiring for an fresher entry level Data Scientist role in India

Position:

• Data Scientist

Company:

• NatWest Group

Location:

• Bangalore, India

Job type:

• Permanent

Job mode:

• Hybrid

Job requisition id:

• R-00256693

Years of experience:

• 0–3 years

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Company Description

• NatWest Group stands as a cornerstone in the global banking industry, driven by a clear purpose to champion the potential of people, communities, and businesses.

• The company is deeply invested in empowering communities, boosting enterprise, and fostering inclusive economic growth by removing traditional barriers.

• With a workforce of over 10,000 people, it promotes a collaborative and inclusive workplace culture where continuous learning and upskilling are encouraged.

• Acknowledging the urgent need for climate action, NatWest Group integrates sustainability into its strategic goals, aiming to be climate positive by 2025.

• The bank seeks to nurture a learning-focused culture where both employees and customers can grow together in an increasingly digital-first world.

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Profile Overview

• This entry-level Data Scientist role focuses on applying advanced data science techniques to unlock business value and customer-centric innovation.

• The position encourages working across disciplines to build impactful models and products that improve the overall decision-making framework.

• The role aligns with NatWest’s broader mission of using data ethically and responsibly to create meaningful change for customers and stakeholders.

• As part of a data-driven team, you’ll be instrumental in exploring data solutions that align with strategic objectives while working in agile and cross-functional environments.

• You'll not only build solutions but also contribute to cultivating a data-literate culture within the company through educational outreach and stakeholder engagement.

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Key Responsibilities

Designing and Implementing Data-Driven Tools

• Develop scalable and efficient data science solutions that address real-world problems using structured and unstructured data.

• Engage in model development life cycles from ideation to deployment, ensuring models are built with ethical and governance standards.

Business Engagement and Problem Solving

• Collaborate with business leaders and operational teams to identify opportunities where data science can add measurable value.

• Translate business objectives into data science projects, identifying the right datasets and modeling techniques for each case.

Product-Oriented Approach

• Incorporate software engineering best practices into your work to ensure solutions are reusable, maintainable, and ready for deployment.

• Support the development of data-driven products that can scale across multiple departments and use cases.

Agile Delivery and Teamwork

• Be an active participant in agile sprints and scrum ceremonies, contributing to project goals alongside engineers, analysts, and product managers.

• Ensure that timelines, quality benchmarks, and team communication protocols are consistently met.

Machine Learning Model Lifecycle

• Design, train, and validate machine learning algorithms while keeping in mind the broader implications including fairness, explainability, and compliance.

• Conduct regular evaluations and refinements of existing models to maintain performance and relevance.

Prototyping and Data Pipeline Development

• Build experimental data workflows to test hypotheses quickly and gather early-stage insights before full deployment.

• Contribute to creating automated and production-ready data pipelines to streamline analytics and machine learning tasks.

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Qualifications

Academic Background

• A strong educational foundation in a STEM field such as:

  • Mathematics

  • Computer Science

  • Physics

  • Engineering

Technical Capabilities

• Familiarity with programming languages typically used in data science such as Python, R, or Scala.

• Solid grounding in statistics and machine learning techniques, including both classical and deep learning approaches.

• Understanding of model validation, risk assessment, and ethical AI principles.

Software and Systems Proficiency

• Experience working with data visualization tools and frameworks to present findings in an understandable and actionable way.

• Ability to manipulate and query large datasets using SQL or equivalent tools.

• Exposure to cloud environments such as AWS, GCP, or Azure, especially in deploying machine learning models.

Analytical and Problem-Solving Skills

• Ability to develop data-driven hypotheses and explore multiple angles before concluding on a solution.

• Experience conducting exploratory data analysis (EDA) to uncover patterns, outliers, and relationships in data.

Communication and Collaboration

• Strong communication skills with the ability to simplify complex technical concepts for business stakeholders.

• Experience presenting insights in formats suited for both technical and non-technical audiences.

• Ability to work independently as well as part of a collaborative, agile team.

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Additional Info

• This role is offered at the associate level and is ideal for early-career professionals or recent graduates looking to launch a career in data science.

• While it is based in Bangalore, the role includes hybrid working options, giving you the flexibility to balance remote and in-office work.

• The position allows you to engage meaningfully with stakeholders from various departments, making your work integral to strategic decision-making across the organization.

• NatWest Group supports continuous learning and professional development, with access to training programs, mentorship, and a network of data professionals.

• You’ll have the opportunity to be part of a forward-thinking organization that values innovation, inclusion, and sustainability.

• The company’s strong commitment to diversity ensures a welcoming and equitable environment for all team members.

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