- Our ambition is simple: to succeed with our customers. Because when they succeed, so do we.
- Our people are the foundation that success is built on, so we’re passionate about supporting them too.
- Help us to build deeper relationships with our customers and turn their possibilities into progress.
Natwest Recruitment Drive 2025 | Natwest Hiring Software Engineer
www.djobbuzz.com
15 May 2025
- Company Name
- Natwest
- Company Website
- https://www.natwest.com/
- Job Role
- Data Scientist
- Job Type
-
- Experienced
- Fresher
- Job Location
-
- Chennai
- Education
-
- BE/BTech
- Branch
-
- IT
- CS
- Job will expire on
- 14 Jul 2025
About Company
Job Overview
- This role is based in India and as such all normal working days must be carried out in India.
- 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.
Eligibility Criteria
- 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
Job Description
- 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
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