Data Scientist 1 at WesBank

Job Description

• To build, optimise and implement innovative quantitative analytical methodologies, procedures, and advanced mathematical models that provide analytical support and interpret insights, to address business opportunities and problems and implement business strategy, under guidance against predicted results and deliver according to set processes and procedures.

Hello, Data Scientist

• Welcome to WesBank, the home of the #Changeables.
• We design for the shapeshifters and deliver products and services that make us incredibly proud of the people that make it happen. We are creating a world class lending and credit risk capability, establishing the gold-standard through thought leadership and execution. As part of our credit community, you get to apply your skills to a diverse lending market, adapting and thriving while doing so. We strive to consistently develop better ways to partner with customers through lending, lifting society in doing so.

Role Purpose

Are you someone who:

• Understand how to work with big data and transform data to be suited for modelling or other analytical insights.
• SAS exposure or any programming language is advantageous.
• Can work well under pressure.
• Knowledge of scorecard model development or monitoring is advantageous.

We can be a match if you are:

• Curious & courageous – you’re driven by always wanting to know more and learn more and you’re brave enough to take action.
• Obsessed with mastery – you know what it takes to become good at what you do and are constantly pushing yourself to achieve this.
• A team player – you believe in the power of teams, building and leveraging your networks.
• Emotionally intelligent – you are able to connect with people to build trust

As a Changeable you will have access to:

• Opportunities to network and collaborate.
• Opportunities to innovate.
• Flexible working environment
• Focus on health and wellbeing.
• Coaches and mentors to help with your professional development.
• A very generous leave policy to cater for your individual needs.
• Preferential employee banking rates that include Vehicle and Home loans

Qualifications and Experience

• Minimum Qualification: Have a relevant Degree in Mathematical Sciences, Statistics, Data Engineering and/or Actuarial Science.
• Preferred Qualification: Honours Degree
• Experience: A minimum of 1 - 2 year’s relevant experience within a Data Science environment or similar role
• Able to use data and analytics to provide insights
• Previous experience with programming languages such as SAS and SQL are essential
• Understand how to work with big data and transform data for modelling and/or analytical insights
• Prior relevant experience in any part of the credit risk value chain will be advantageous