Data Scientist Data Scientist …

in Singapore
Permanent, Full time
Last application, 17 Oct 20
5-6k per month depending on experience
in Singapore
Permanent, Full time
Last application, 17 Oct 20
5-6k per month depending on experience
The Data Scientist directly drives business performance improvement through creating accurate predictions of customer behaviour that the business act upon.

The key responsibilities of the Data Scientist role are:

- Work with the wider Data team to identify and secure the internal and external data needs to create accurate statistical models

- Create performant statistical models that enable the targeting of business actions 

- Support the on-going development of tools across automated feature engineering, data enrichment and ROI optimisation 

- Support the identification of opportunities to drive performance across the Pepper portfolio of businesses through the application of analytical and data science techniques

- Evaluate emerging data science tools and methodologies, providing Business Unit teams with training, best practice and expertise in the adopted frameworks 

Company Commitment

It is expected that the Data Scientist will reflect the values of the organisation in all dealings with both internal and external stakeholders whilst striving towards best practice in the areas of products, services and staff development and safety.

In keeping with Pepper’s reputation, it is expected that behaviors conducive to positive relationships, treating the customer fairly, team work, meeting or exceeding professional and regulatory standards, and WHS are displayed at all times. Willingness to respond flexibly to various demands and adapt to an ever changing environment in a positive fashion is paramount.

Position Responsibilities

Data Identification and Exploration

· Work with local Business Unit teams and the wider Data team to identify and extract potentially valuable data from source systems

· Ensure data preparation is performed to enable successful predictive modelling

· Document data preparation methods and techniques

Analytical application

·Support Business Units in identifying and implementing the most appropriate analytical approach for the use case

· Enable deployment of analytical solutions through marketing and operational campaigns

· Ensure a robust, valid test design is implemented to measure success and optimize performance

Analytical enablement

· Identify and build analytical solutions into automated tools or apps that can be deployed in other Pepper business units

· Provide machine learning and analytical tools training and on-going support to Business Unit users

· Document all learnings for the knowledge warehouse

Analytical innovation

· Evaluate new data science techniques, tools and systems to constantly improve accuracy, speed and, ultimately, business impact

Person Specification

  • Tertiary education in a quantitative field, incorporating a statistical module
  • Ability to apply machine learning (supervised and unsupervised) and statistical modelling techniques to address business problems
  • Ability to translate outputs of data analyses into commercial knowledge and understanding, and use that to make actionable recommendations
  • Proven delivery of projects requiring extensive data gathering and preparation in a coporate environment, preferably within a financial services environment
  • Evidenced creative problem solver, being able to identify innovative solutions to complex challenges
  • Excellent English verbal and written communication skills; able to clearly present detailed analyses to non-analytical audiences

Bonus points for

  • Masters in data science or related discipline
  • Exposure to an agency environment or internal function with distributed stakeholder relationships within a Financial Services environment

Technical Competencies

Data Management – SQL, Alteryx (would be a plus)

Statistical Programming – Python, R or similar

Tools – DataRobot or similar augmented AI tools advantageous


  • Behavioral Competencies
  • Adaptability / Dealing with Change – Advanced
  • Communication - Written & Interpersonal Skills – Excellent
  • Developing Others - Advanced
  • Problem Solving – Advanced 
  • Presentation Skills – Good


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