An AI and Fleet telematics that assist with your day-to-day operations, forecasting, reporting & compliance are in the market for a Junior 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.
- 1 to 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., 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 NG59893 which is a Permanent position based in Johannesburg offering a cost to company from R330k up to R430k per annum negotiable on experience and ability. Contact Nokuthula at
