AVP / Senior Assoicate, Data Scientist, Core System Technology, Technology and Operations

  • Competitive
  • 新加坡
  • 未指明
  • DBS Bank Limited
  • 2017-09-23

See job description for details

Business Function

Group Technology and Operations (T&O) enables and empowers the bank with an efficient, nimble and resilient infrastructure through a strategic focus on productivity, quality & control, technology, people capability and innovation. In Group T&O, we manage the majority of the Bank's operational processes and inspire to delight our business partners through our multiple banking delivery channels.


  • Train predictive and machine learning models to support business challenges.
    • Perform ad-hoc exploratory analysis and data mining tasks on diverse datasets from small scale to “big data”
    • Select features, build and optimize classifiers using machine learning techniques
    • Data mining using state-of-the-art methods
    • Extend company’s data with third party sources of information where relevant
    • Enhance data collection procedures to include information that is relevant for building analytic systems
    • Process, cleanse, and verify the integrity of data used for analysis
    • Carry out ad-hoc analysis and present results in a clear manner
  • Build prototypes to derive actionable insights from data.
    • Work with data engineers to define data requirements and review recommended architecture
    • Develop advanced analytics capabilities and algorithms to be included in new business solutions.
    • Develop visualization interfaces and dasboards to support businesses in making insightful decisions
  • Maintain cutting edge in the practice of data science
    • Take initiative in evaluating and practising new approaches from relevant research
    • Test and evaluate new tools and packages
    • Support the organization in transformation towards a data driven business culture
  • 2-6+ years in data science related roles
  • Experience working in multi-cultural environments
  • PhD/Masters/Bachelors in Statistics, Computer Science, Applied Mathematics, Operations Research, or related disciplines.
  • Excellent understanding of machine learning techniques and algorithms, comprising supervised, unsupervised learning techniques such as k-NN, Naive Bayes, SVM, Decision Trees, Cluster Analysis etc.
  • Good applied statistical analysis skills, such as distribution theory, statistical testing and linear models etc.
  • Core experience with data science toolkits (R, RStudio, SKLearn etc)
  • Good scripting and programming skills (Python, Scala, R etc)
  • Proficiency in using query languages (SQL, Hive, Pig etc)
  • Familiarity with Big Data stacks (e.g. Hadoop, Spark technologies)
  • Experience with NoSQL databases (MongoDB, Cassandra, HBass etc) is a plus
  • Experience with commercial analytics softwares and packages (Teradata, SAS, Qlikview etc) is a plus
  • Practical experience in one of the following domains, in addition to machine learning, is preferred: Natural Language Processing, Deep Learning, Time Series, Web/Log Analysis, Streaming Analytics, Geospatial Analysis
  • Data-oriented personality
  • Excellent communication and presentation skills in English.
  • Team player, self-starter, ability to work on multiple projects in parallel is necessary
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.