VP, Senior Data Scientist, Regional Consumer Banking Operations, Technology & Operations

  • Competitive
  • Singapore
  • Permanent, Full time
  • DBS Bank Limited
  • 21 Apr 19

VP, Senior Data Scientist, Regional Consumer Banking Operations, Technology & Operations


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.

Responsibilities

  • Development and solutioning of real time predictive analytics to derive actionable insights to intervene positively into the customer's digital journey
  • Perform full life-cycle of Data Scientist / Analyst activities, including conceptualization to operationalization
  • Primary focus will be in applying data science to solve business problems; doing statistical analysis, building high-quality prediction systems, and use deep learning techniques
  • Able to understand and solve the business problem by translating into a data model and building insights into an actionable outcome
  • Collaborate with cross-functional business teams to deliver high-impact insights using analytics across a variety of customer servicing areas
  • Research, design, implement and validate models / algorithms to analyse diverse sources of data to achieve targeted outcomes
  • Carry out customer behaviour analytics and deliver actionable insights in real time; through behaviour segmentation, predictive modelling, lifetime value modelling, churn prevention, statistical simulations and what if scenarios
  • Stay on top of current industry trends on machine learning/AI


Requirements

You are:
  • Curious and have a strong appetite for intellectual challenges. Able to pick up new methods and techniques quickly and apply towards solving a problem at hand
  • You excel at making complex concepts simple and easy to understand by those around you. You're driven to show the world the power of applied analytics
  • Passionate about asking and answering questions in large datasets, and you can communicate that passion to product managers and engineers
  • Attracted to a fast paced, hypothesis and test driven, collaborative and iterative engineering environment
  • Driven, strategically focused, self-starter and organized with strong attention to detail
  • A good team player with excellent communication skills
You have:
  • A university degree or higher in applied statistics/ data science/ Computing or related quantitative discipline, with a strong background in statistical concepts
  • Proven track record of big data analytics and delivering impact to the business
  • Deep and practical understanding on implementing high performance, well-behaved analytics applications; data ingestion, feature engineering, model selection, training, validating and deployment
  • A deep understanding of statistical and predictive modelling concepts, machine-learning, deep learning models and NLP
  • Excellent hands-on experience in
    • Python, Pyspark, Spark SQL/mysql
    • Hadoop eco-system (Hive, HDFS, Pig etc.)
    • End to end data science workflow, starting from data extraction, wrangling, modelling and deployment in production environment
  • Familiarity with Linux based operating system
  • Familiarity with data engineering pipelines
  • Knowledge of software development life cycle preferred
  • Experience creating real time and rich data visualizations that involves large datasets
  • Experience manipulating structured and unstructured data sources for analysis


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.