Junior Data Scientist

An AI and Fleet telematics that assist with your day-to-day operations, forecasting, reporting and 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.
• 1-3 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 R330,000 up to R430,000 per annum negotiable on experience and ability. Contact Nokuthula at az.oc.egrem-e@galuhtukon or call her on 011 463 3633 to discuss this and other opportunities.

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Posted on 28 Nov 12:31, Closing date 27 Jan