A client growing rapidly with international ambitions developing multiple valuable products in the areas of supplier risk, customer risk, and third-party risk management are on a recruitment drive for a Data Scientist to apply data mining techniques and conduct statistical analysis to large, structured and unstructured data sets.
Responsibilities:
- Model complex business problems, discovering insights and opportunities through statistical, algorithmic, machine learning and visualisation techniques.
- Execute intelligent automation and predictive modelling.
- Build machine learning models from and utilises distributed data processing and analysis methodologies.
- Competent in Machine Learning programming in R or Python, with supplementary still in Matlab, Java.
- Familiar with the Hadoop distributed computational platform, including broader ecosystem of tools such as HDFS / Spark / Kafka.
- Provide input into Data management and modelling infrastructure requirements and adhere to the organisations infrastructure development processes.
- Ensure business integration through integrating model outputs into end-point production systems, are understood and adopted relating to data collection, integration and retention requirements incorporating business requirements and knowledge of best practices.
- Measure proficiency in using the diagramming and modelling techniques vital for requirements analyses.
Qualifications & Experience:
- Degree in Information Studies/Information Technology
- Post Graduate Degree in Information Studies/Information Technology
- 5 - 7 years development experience in software and software engineering, financial services data processes, technical business intelligence.
- 5 - 7 years experience of working with unstructured data (e.g., streams, images) Understanding of data flows, data architecture, ETL and processing of structured and unstructured data.
- Experience with common data science toolkits, such as SAS, R, SPSS, etc
- Knowledge of IT infrastructure and data principles. Project management experience
- Experience with data visualisation tools, such as Power BI, Tableau, etc.
The Reference Number for this position is NG58375 which is a Permanent Hybrid position in Johannesburg offering a salary of up to R750k R950k CTC salary negotiable based on experience. E-mail Nokuthula
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