An African financial services organisation that offers a broad spectrum of financial solutions and offers great culture, leadership, learning opportunities, challenges, rewards and recognition to its employees seeks an Intermediate Data Scientist who will be accountable for designing, producing, analysing, documenting and enhancing a range of predictive models across the entire credit life cycle.
Responsibilities: Analyse complex datasets to identify trends, patterns, and correlations relevant to business objectives.
Develop predictive models and machine learning algorithms to forecast customer behaviour, optimise resource allocation, and improve operational efficiency.
Collaborate with stakeholders to define key performance indicators (KPIs) and develop metrics for measuring the success of data science initiatives.
Design and implement data visualisation tools and dashboards to communicate insights effectively to non-technical stakeholders.
Stay current with emerging technologies and best practices in data science, machine learning, and artificial intelligence.
Translate business requirements into technical solutions.
Work closely with cross-functional teams to analyse large datasets, develop predictive models.
Qualifications and Experience: Bachelor''s or Master''s degree in Computer Science, Statistics, Mathematics, or a related field.
3+ years of experience in data analysis, machine learning, and predictive modelling.
Proficiency in programming languages such as Python, Java, or SQL.
Experience working with large datasets and data manipulation tools (e.g., Pandas, NumPy) will be beneficial.
Familiarity with cloud computing platforms (e.g., AWS, Azure, Google Cloud).
Knowledge of big data technologies (e.g., Hadoop, Spark).
Experience with data visualization tools (e.g., Tableau, Power BI, Grafana).
The Reference Number for this position is NG59602 which is a Permanent position based in Pretoria offering a cost to company from R650k up to R850k per annum negotiable on experience and ability.
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