To actively lead, participate and contribute in identification of business use-cases for innovative ideation, design, build, test, and execution for Group Retail Banking business units to uplift business revenue or in cost optimization efforts
To influence business teams on the required data-driven solutions and the recommended approached
To develop and deliver business use-cases for innovative ideation, design, build, test, and execution for Group Business Banking units to uplift business revenue.
Key Responsibilities:
Lead complex data science projects.
Utilize advanced machine learning tools for model building to support decision making and to drive use cases
Contribute to the development of best practices in data science.
Develop insights from data patterns to support decision-making and drive implementation
To provide consolidated overview and revenue tracking for management reporting on Analytics use case
Contribute to the development of project from data driven approach.
Provide thought leadership on emerging trends in data science.
Mentor and guide data scientist in analytics projects as well in data science related activities
Mentor and guide team members in analytics projects to achieve the business revenue or cost value goal outcome
Collaborate with peers to share expertise and insights.
To conduct regular review sessions with respective Retail stakeholders, SME and Commercial Banking to ensure alignment on data-solutions, deliverables and standards against Business Challenges.
To Lead, align and Engage with the Business teams on Business opportunities & Segment Leads on core priorities and business impact
Contribute to the development of the data science strategy.
RequirementsRequirements:Bachelor Degree in a quantitative field such as Computer Science, Economics, Finance, Mathematics, Statistics or equivalent.
At least 5 years of hands-on experience in data science