Data Scientist
FirstRand
Date: 9 hours ago
City: Randburg, Gauteng
Contract type: Full time

Job Description
Hello Future Data Scientist II
Welcome to FNB, the home of the #changeables. We design for the shapeshifters and deliver products and services that make us incredibly proud of people that make it happen.
As part of our talent team, you will be surrounded by unique talents, diverse minds, and an adaptable environment that lives up to the promise of staying curious. Now’s the time to imagine your potential in a team where experts come together and ignite effective change.
To implement the Analytics standards in allocated business units, that contribute to the monetisation of data through the development and delivery of advanced mathematical models and business principles that find hidden patterns and associations in data used to influence business strategy, inform channel design and make predictions on the behaviour of clients Are you someone who can/has: Advanced Data Science Expertise:
Welcome to FNB, the home of the #changeables. We design for the shapeshifters and deliver products and services that make us incredibly proud of people that make it happen.
As part of our talent team, you will be surrounded by unique talents, diverse minds, and an adaptable environment that lives up to the promise of staying curious. Now’s the time to imagine your potential in a team where experts come together and ignite effective change.
To implement the Analytics standards in allocated business units, that contribute to the monetisation of data through the development and delivery of advanced mathematical models and business principles that find hidden patterns and associations in data used to influence business strategy, inform channel design and make predictions on the behaviour of clients Are you someone who can/has: Advanced Data Science Expertise:
- Proven track record in managing end-to-end data science projects, from problem formulation through to model deployment.
- Extensive hands-on experience in Scorecard Development, including logistic regression, decision trees, and ensemble methods to build and optimize predictive models.
- Strong foundation in statistical modeling techniques (e.g., regression analysis, time series forecasting, and hypothesis testing), as well as machine learning algorithms for risk assessment.
- Deep knowledge of data mining techniques for feature extraction and transformation, ensuring the robustness of models for production environments.
- Demonstrated ability to lead multi-disciplinary teams, guiding junior data scientists and providing technical direction.
- Experience in developing and executing strategies for model governance, ensuring compliance with industry regulations and internal quality standards.
- Strong interpersonal skills with the ability to mentor, coach, and promote collaboration within the data science team, fostering a culture of continuous learning.
- Expertise in credit risk scorecard development following best practices, development.
- Ability to design and implement scorecard monitoring and validation frameworks using metrics such as KS statistics, AUC, and Gini to ensure model stability and performance over time.
- Ability to effectively communicate technical insights and model outcomes to senior management, risk teams, and other non-technical stakeholders.
- Adept at simplifying complex analytical concepts and creating clear documentation that aligns with business objectives.
- Strong presentation skills for delivering insights and recommendations to diverse audiences.
- Qualifications: Bsc Math’s Stats
- Experience: Model and scorecard development
- SAS experience would be advantageous
- Python, SQL,PowerBi
- Opportunities to network and collaborate.
- Challenging working environment.
- Opportunities to innovate.
- Curious & courageous - you're driven by always wanting to know more and learn more and you're brave enough.
- Obsessed with mastery - you know what it takes to become good at what you do and are constantly pushing yourself to do it.
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