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Business Function Here at the DBS Transformation Group, we focus on nurturing the culture of the "World's Best Digital Bank" (Euromoney, 2016 & 2018) and Best Bank in the World (Euromoney 2019). Our approach is a combination of both science and art; we immerse our stakeholders in the world of design thinking and experimentation, drive rigorous creativity along our pipeline, and build connections between corporate entrepreneurs and start-ups. We are a cross-disciplinary team focused on the invention of solutions that will radically improve the way people live, work and play. We are passionate and committed to making banking joyful (while having lots of fun)! Responsibilities
The data scientist in Analytic Center of Excellence (ACOE) will have opportunities to work on huge varieties of problems across sales and marketing, customer management, revenue optimization, risk prevention, operation efficiency, network monitoring, AML and many more other areas.
Work with business and tech to develop end-to-end advanced analytic solution, from problem formulation, data sourcing to develop and deploying the solution into production
Work with tech to continue improving the enterprise analytic platform, tooling and reusable assets
Work with analytic community to continue develop advanced analytic capabilities, adoption of best-in-class techniques and practices
Coach junior members
The data scientist will provide the leadership in both analyzing and formulating the business problem as well as identifying and developing the analytic solution.
Advanced degree with strong focus in machine learning, data mining or statistical / mathematical modellings with deep theoretical knowledge with machine learning and statistical modelling.
10+ years relevant working experience (or 5+ years' experience for candidate holding PhD in relevant area)
Familiar with analytics and machine learning platforms and how it integrates with upstream and downstream data and production systems
Experience of working with analytics platform users to gather/understand user requirements and working with Technology team to improve analytics platform to resolve user pain points
Experience of managing complex and cross departments projects
Full stack data science experience covering end-to-end problem formulation, developing training pipeline and deploying solution to production
Familiar with developing machine learning pipelines following dev practice such as versioning, branching, merging, linting, testing and writing codes in structured and modularized way
Able to analyze business needs, articulate the solution framework including the model output, business decision and potential impact to drive the adoption of the solution
Solid written and oral communication skills
Technical skills: SQL, Python, PySpark, ML packages and tools
Practical experience of Cloud based analytics tools will be a plus
Apply Now We offer a competitive salary and benefits package and the professional advantages of a dynamic environment that supports your development and recognises your achievements.