My client, a leading bank is looking for a Senior Data Science and Analytics Associate for their growing Data Science Team. The selected candidate would be leading the Analytical ability through AI to provide Advanced Analytics functionalities.

Responsibilities:
– Work with the various business group in understanding the analytics requirements to design and build utility analytical models/toolsets for the firm.
– Work with the Data Scientists team to select and implement the technologies required to support the analytics requirements.
– Deliver data-related projects on key data science platforms like IMH(Cloudera/Oracle), DEP(PEGA), Tableau, and SAS with squad team running in Agile mode.
– Manage and maintenance of key data platforms, which include data model enhancement, predictive model building, optimization, deployment and ongoing operation.
– Work with senior stakeholders as a solution evangelist and delivery.
– Oversight and making recommendations on technical design such as the use of objects, data architecture, integration, and User Interface design.

 Requirements:
– Around 8 years of experience in the Data Analytics space.
– Experience with various Data technology including Data Lake, DWH, ETL, Visualization, Big Data, Cloud Data, etc.
– Board Data Technology experience across Data Structure, Architecture, Strategy, and Data Governance.
– Strong mathematical knowledge in statistics, and algebra.
– Exposure to Analytics including Data Science, Modelling, Big Data Analytics, etc.
– Programming experience with SQL, Python, R, and Scala.
– Experience with key data technology such as SAS, SAS EM, Tableau, Cloudera
– Experience with Pega Customer Decision Hub
– Experience with common data science toolkits, machine learning, and AI.
– Excellent communication skills, fluent in written and spoken English and Chinese.
– Experience in applying business analysis/project management methodologies, tools, and disciplines.
– Bachelor’s degree in Technology or Maths related from a reputed University.

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