NatWest Group – Data Scientist, VP (Bangalore, India)

Exciting Opportunity at NatWest Group for the Data Scientist, VP role in Bangalore, India.

Job Description

Join us as a Data Scientist at NatWest Group, where you'll drive and embed the design and implementation of data science tools and methods to harness our data and deliver market-leading customer solutions, focusing on our Wealth business. You'll act as a subject matter expert, articulating advanced data science opportunities and bringing them to life through data visualization. This role is offered at the Vice President level.

Key Responsibilities

• Understand the requirements and needs of our Wealth business stakeholders, developing relationships, forming hypotheses, and identifying suitable data science solutions.
• Maintain and develop external curiosity around new and emerging trends within data science, keeping up to date with emerging trends and tooling.
• Proactively bring together statistical, mathematical, machine-learning, and software engineering skills to consider multiple solutions, techniques, and algorithms.
• Implement ethically sound models end-to-end and apply software engineering and a product development lens to complex business problems.
• Work with and lead both direct reports and wider teams in an agile way within multi-disciplinary data to achieve agreed project and Scrum outcomes.
• Use data translation skills to work closely with business stakeholders to define business questions, problems, or opportunities that can be supported through advanced analytics.
• Select, build, train, and test complex machine models, considering model valuation, model risk, governance, and ethics throughout to implement and scale models.

Required Skills

• Evidence of leading data science development from idea to implementation and relevant work experience delivering data science solutions as part of a multi-disciplinary team.
• Undergraduate or a master’s degree in a quantitative discipline, or equivalent practical experience.
• Proficiency in Python, SQL, and experience with data visualization tools.
• Strong background in mathematics, engineering, or computer science.
• Experience in fraud detection and financial services analytics is a plus.
• Strong problem-solving and stakeholder engagement skills.

How to Apply?

Application Link:

• Apply Here

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