- 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
Natwest Recruitment Drive 2025 | Natwest Hiring Software Engineer
www.djobbuzz.com
05 May 2025
- Company Name
- Natwest
- Company Website
- http://natwest.com/
- Job Role
- Data Scientist
- Job Type
-
- Fresher
- Experienced
- Job Location
-
- Chennai
- Skills
-
- Agile
- Cloud
- Education
-
- BE/BTech
- Branch
-
- IT
- CS
- Job will expire on
- 04 Jul 2025
Job Overview
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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