Data Scientist at FNB South Africa

Job Description

• To plan, build, optimise and implement innovative quantitative analytical methodologies, procedures, products and advanced mathematical models that provide analytical support and interpret insights, to address business opportunities and problems and implement business strategy, with minimal guidance.

Hello, future Data Scientist II

Role Purpose

• This role is within the FNB Retail Data and Analytics Office. We support the business through the development of predictive and prescriptive analytics to understand open market and customer behavior. Ensuring business value through the optimization of processes, campaigns and utilization of data, to support the business growth targets as well as the customer’s experience.

Are you someone who:

• Has end to end Model development experience as well as, monitoring and optimization of existing models.
• Has experience with disparate data and identifying unique data patterns for deep analysis and feature creation.
• Understands how to work with big data and transform data to be suited for analytical insights.
• Has strong technical skills with strong coding proficiency in SQL, MS Python, R
• Hard working individual that can work well under pressure.
• Able to translate business requirements into tangible, creative solutions.
• Has A/B Testing methodology background to measure uplift and improve KPIs.

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. Always being engaged.
• 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.

Qualifications and Experience

• Minimum Qualification: B Degree in Mathematical Sciences, Statistics, Actuarial Science
• Preferred Qualification: Honours Degree or Equivalent
• Experience: A minimum of 3 years' relevant experience within Data Analytics or CVM Analytics within the Financial Services or Banking sector.
• End to end Model development experience (predictive and prescriptive analytics), scenario analysis
• Decision science and testing methodologies
• Strong coding proficiency data tools (SQL, SAS, Python)
• Able to work with Big Data, Teradata
• Prior stakeholder engagement experience
• Presentation skills to variety of business stakeholders
• Propensity for AI and Machine learning