DataFin was established in 1999. We pride ourselves on the fact that we have established relationships with industry leaders and a vast majority of our business is repeat business.<\/p>\n
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Job Title: Data Science Analyst (JHB\/Remote)<\/strong> Job Summary:<\/strong> A fast-paced Analytics Consultancy seeks an ambitious Data Science Analyst to join its team and gain data-driven experience with particular focus on banks, insurance companies and Telecommunications. You will be learning how to develop data science models, construct ETL processes, communicate with clients (internal or external) and support models in a production environment. The ideal candidate must possess a BSc. Degree in Engineering\/Actuarial Science\/Stats or similar discipline with at least \u00b12 Years’ experience in a Data Science environment \/ role and proficiency in Python, SQL and Git.<\/p>\n DUTIES:<\/strong><\/p>\n Ability to execute instructions from senior staff in the experience items set out above. Qualifications:<\/strong><\/p>\n Minimum: BSc in a quantitative field with strong academic performance (Engineering, Actuarial Science, Statistics, Mathematics, Computer Science, etc.). Experience\/Skills :\u2013<\/strong><\/p>\n \u00b12 Years’ experience in a Data Science environment \/ role. ATTRIBUTES:<\/strong>
\nLocation:<\/strong> Sandton<\/p>\n
\nDuties & Responsibilities:<\/strong>
\nENVIRONMENT:<\/strong><\/p>\n
\nBuild components of models.
\nBe a self-starter with drive to excel.
\nAssist with research.
\nComplete any online training requested (AE will supply the funds, but it is expected that the person will complete the training in their own time).
\nREQUIREMENTS:<\/p>\n
\nIdeal: Honours or Masters in a quantitative field.
\nBonus: Qualified Actuary (no remaining exams to complete).<\/p>\n
\nPractical experience with Machine Learning models advantageous.
\nConsulting experience would be advantageous.
\nExperience in Financial Services industry is a plus, but not required.
\nMinimum: Python, SQL, Git.
\nIdeal: HTML, Cloud (IBM, AWS, Azure, GCP), Containers (Docker, Kubernetes etc.).
\nBonus: SAS, R, Scala, PySpark, Scala, Java, C, Python Dash, R Shiny, Streamlit.<\/p>\n
\nExcellent business, communication and presentation skills.
\nWhile we would really like to respond to every application, should you not be contacted for this position within 10 working days please consider your application unsuccessful.<\/p>\n