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OCBC Bank

Data Scientist - AI Lab, Group Data Office

OCBC Bank Singapour
Mise en ligne il y a 12 jours CDI Competitive
OVERALL ROLE PURPOSE:
  • Working within the central Data Science team, you will leverage huge volumes of Structured and Unstructured data to solve real business problems with various business units across the OCBC Group
  • You will work closely with business to understand their problem statements & apply Data Science and analytics techniques to develop productionised solutions to capture the opportunity and generate business value.
  • We believe that variety is good. You'll get the chance to work on a wide range of Use Cases for corporate banking, commercial banking, treasury and Wealth.

RESPONSIBILITIES:
  • Work with business leaders across OCBC Group to identify opportunities for leveraging big data and Data Science to drive value for our customers and business.
  • Partner with Data Engineering to source internal & external datasets for analysis
  • Develop and maintain machine learning/deep learning models to achieve the desire business outcomes.
  • Coordinate with different functional teams to deploy models and smart applications into Production.
  • Use MLOps processes and tools to monitor and refine Production model performance and accuracy.
  • Partner with the Data Platforms teams to continuously enhance the OCBC AI and Data Platforms to ensure infrastructure is always at the leading edge.


Qualifications
REQUIREMENTS:
Specific Knowledge:
  • 3 years+ of experience manipulating data sets and building machine learning models, ideally with a Master's or PHD in Statistics, Mathematics, Computer Science or other quantitative field.
  • Strong programming experience, with solid understanding of software engineering design patterns and best practices.
  • Experience with big data technologies such as Hadoop, Impala and Hive. Familiarity with SQL-like languages. Exposure to NoSQL databases such as MongoDB and HBase is an advantage.
  • Knowledge of a variety of machine learning techniques (clustering, recommender systems, Natural Language Processing, Deep learning etc.) and their real-world applications.
  • Knowledge of advanced statistical techniques and concepts (regression, properties of distributions, statistical tests and proper usage, etc.).
  • Experienced in the use of CI/CD and DevOps tools such as Jira, Jenkins, GIT/Bitbucket.
  • Ideally has track record of deploying Machine Learning solutions into Production at scale.

Communication & Soft Skills:
  • Creativity to see possibilities within the data & translate into compelling stories, decisions and actions for non-technical business users.
  • Strong communication skills and drive to deliver business benefits in the real-world.
  • Genuine drive to learn and master new technologies and techniques.
Référence  2300013R
À PROPOS DE CETTE ENTREPRISE
Singapore
Banque de Réseau
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