mathematical models that provide analytical support and interpret insights, using advanced analytics technologies, to address business opportunities and problems and implement business strategy.
Hello, Future Senior Data Scientist
Job Description Summary
To plan, build, optimize and implement innovative quantitative analytical methodologies, procedures, products and advanced models that provide analytical support and interpret insights, to address business opportunities and problems and implement business strategy, with minimal guidance.
Role Purpose
We are seeking an experienced Data Scientist to support the FNB Retail Data and Analytics Office. We support the business through the development of predictive and prescriptive analytics specializing in value-add thereby providing More to Customers, 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. Beyond individual contributions, you'll play a vital role in mentoring less experienced Data Scientists, guiding them through advanced analytics techniques and fostering their growth within our dynamic team. If you're passionate about leveraging data to drive customer-centric strategies and eager to drive business value through analytics we want to hear from you.
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 SAS or SAS Viya.
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.
Translate business problems into actionable insights and analytics with minimum supervision
Adheres to advance analytics protocols
Willing to support and mentor junior data scientists in a specialist capacity
Produce innovative ideas and solutions based on data. Stating assumptions and overcoming challenges.
Self-driven and able to own their projects.
Able to collaborate effectively with different stakeholders.
Have a growth mindset aimed at continuous learning and self-improvement.
Open-minded and enjoy problem solving.
We can be a match if you are:
In-depth knowledge/experience in Acquisition analytics including portfolio optimization techniques.
Understanding of both the technical points of Data Management & Analytics, as well as key business drivers.
The ability to be highly effective at providing strategic direction on the functional interpretation (and articulation) of knowledge through application of data insights and analytics to enable sales growth
Strong stakeholder management skills including effective communication and management of stakeholder expectations
Mentoring of junior and intermediate data scientists on technical and statistical principles.
A team player – you believe in the power of teams, building and leveraging your networks.
Emotionally intelligent – you can connect with people to build trust.
Qualifications and Experience
Minimum Qualification: B Degree in Mathematical Sciences, Statistics, Actuarial Science
Preferred Qualification: Honours Degree
Experience: A minimum of 5 - 7 years' relevant experience within Data Analytics or CVM Analytics within the Financial Services or Banking sector, of which a minimum of 2 years is within a senior role.
End to end Model development experience (predictive and prescriptive analytics)
Decision science and testing methodologies
Strong coding proficiency in SAS or SAS Viya
Able to work with Big Data; Teradata (advantageous)
Prior stakeholder engagement experience
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Take note that applications will not be accepted on the below date and onwards, kindly submit applications ahead of the closing date indicated below.
15/03/25All appointments will be made in line with FirstRand Group’s Employment Equity plan. The Bank supports the recruitment and advancement of individuals with disabilities. In order for us to fulfill this purpose, candidates can disclose their disability information on a voluntary basis. The Bank will keep this information confidential unless we are required by law to disclose this information to other parties.