Senior Data Scientist (Private Banking)

Company:
Location: Singapore

*** Mention DataYoshi when applying ***

  • Senior Data Scientist (Financial Services)
  • Prestigious Private Banking client
  • Permanent role with excellent career progression




about the company

Our client is a prestigious Private Bank.

We are looking for a Senior Data Scientist who is passionate about leveraging data insights.

This is a permanent position with excellent career progression.


about the job

In this role, you will be establishing data infrastructures and knowledge base for information management, reporting, AI solutions.

  • Design and deploy ontology centric and graph-based data analytics services
  • Develop diagnostic, predictive, and prescriptive analytics to support data-driven business decisions
  • Implement innovative solutions using advance data analytics and insights
  • Develop libraries and analytical ML/DL tools aimed at mapping diverse banking data domains into specialized knowledge graphs
  • Setup near real-time and batch data pipeline and build a reliable dataset with graph database
  • Collaborate with internal and external stakeholders; conducting presentations to showcase the results of the data in simple terms, and how it impacts the business


skills and experience required

To succeed in this position, you will need:

  • Degree in IT or higher education in related disciplines
  • Relevant experience as a Data Scientist
  • Solid background in building models using Machine Learning & Optimization methods such as: Linear/Non-Linear/Integer programming, Deep Learning, GBM, Hidden Markov Models, SVM, Regression (Generalized linear models), MLE, Time-series analysis, Signal Processing, Tree based models.
  • Familiarity graph-based techniques (e.g. DataOps, Reasoning) preferred
  • Background in Financial Services is a must
  • High level of analytical skills

To apply online please use the 'apply' function, alternatively you may contact Melissa at melissa.low(at)randstad.com.sg

(EA: 94C3609/ R1658081)

*** Mention DataYoshi when applying ***

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