Job title : Data Scientist_III
Job Location : Gauteng, Johannesburg
Deadline : October 05, 2025
Quick Recommended Links
- Jobs by Location
- Job by industries
Role Responsibilities
To plan, build, optimise and implement innovative quantitative analytical methodologies, procedures, products and advanced mathematical models that provide analytical support and interpret insights, using advanced analytics technologies, to address business opportunities and problems and implement business strategyAre You Someone Who Can
Model Development & Analytics Governance
Innovate by finding the best-fit solution for each situation, including flexible delivery and customized solutions that lead to more efficient outcomes.Provide input into the localization of model-building policies, standards, frameworks, and governance processes.Adhere to model-building policies, standards, frameworks, and governance processes.Maintain ownership of models through regular audits and updates to ensure relevance and accuracy.Plan and perform regular model updates to reflect evolving business complexity.Challenge and test current models to ensure relevance and accuracy of outputs.Stay up-to-date with latest regulations and industry trends to ensure models are compliant and efficient.Privacy, Ethics & Compliance
Ensure ethical usage of information in compliance with privacy and sensitivity classifications.Understand and implement Privacy business requirements, legislation, and policy.Report Information Privacy Incidents and escalate appropriately for resolution of audit findings, complaints, investigations, and assessments.Take necessary actions to ensure compliance with statutory, legislative, policy, and governance requirements.Implement and provide input into governance and compliance procedures and processes.Maintain expert knowledge of legislative amendments, industry best practices, and internal compliance procedures.Ensure systems and procedures comply with business standards.Data Analysis & Commercialisation
Create delivery plans in collaboration with stakeholders to define metrics and track performance.Analyse data to identify unexplored commercialisation opportunities aligned with business needs and revenue options.Translate technical data into practical business information using approved FirstRand architecture.Analyse information requirements, data availability, and quality to support management decisions.Conduct data manipulation and analysis to proactively meet business needs and ensure high-quality, reliable information.Advanced Modelling & Machine Learning
Develop core analytical capabilities and model libraries using advanced statistical and quantitative techniques.Build and enhance statistical or quantitative models used for regulatory purposes.Document and implement models to address specific business requirements.Apply statistical techniques to support decision-making and experiment design.Use mathematical concepts (e.g., multivariable calculus, linear algebra) to improve predictive performance and algorithm optimisation.Research into best practices regarding the development, maintenance and use of statistical models used for regulatory purposes.Utilise predictive modelling to forecast outcomes and challenge key assumptions.Conduct text analytics to extract insights from unstructured data.Apply data wrangling principles to identify and correct data quality issues.Collaboration & Stakeholder Engagement
Collaborate across departments to ensure proper use of data and delivery of operational results.Participate in projects addressing analytical needs and opportunities.Serve as a subject matter expert (SME) for analytics, applying business product / service knowledge. Can communicate technical concepts to non-technical stakeholders.Engage in cross-functional relationships to provide and receive work support.Build and sustain collaborative relationships with peers and stakeholders.Participate in communities of practice and contribute to organisational knowledge improvement.Build relationships to manage expectations, share insights, and create buy-in.Customer Experience & Strategic Insights
Use data and analytics to improve customer experience by understanding context and identifying monetisation opportunities.Monitor implementation of business decisions and recommend enhancements using statistical modelling.Validate, interpret, and create reports and presentations for stakeholders.Review and assist junior analysts with processes and models.Contribute to a culture of sharing successes, issues, trends, and ideas.Technical Communication & Visualisation
Conduct data visualisation to present findings to technical and non-technical audiences using effective visual encoding principles.Analytics Strategy & Execution
Determine business questions and select appropriate analytics models.Source and prepare relevant data for analysis.Translate business requirements into tangible models with clear business value.Develop and apply analytical algorithms to build, test, and implement solutions that reduce risk, increase profitability, and improve efficiencyQualifications and Experience
Minimum Qualification : Mathematical / Analytical / Actuarial Science B.Sc. Degree or B. Com DegreeOther related qualifications : Engineering and Computer ScienceAdvantageous Qualification : Honours DegreeExperience : A minimum of 4 - 6 years’ experience in analytics or credit risk analytics environmentTech Stack : SAS, SQL, Teradata, PowerBI programming preferable, ExcelGood communication skillsGood interpretation skillsQuantitative and analytical skillsYou will have access to
Opportunities to network and collaborateA challenging working environmentOpportunities to innovateWe can be a match if you are / have
AnalyticalAdaptable and curiousThrive in a collaborative environmentConceptual and Big Picture ThinkingStrategic ThinkingEnd Date : September 29, 2025
Research / Data Analysis jobs