Data Scientist at BankservAfrica

What You Will Do

We are looking for a data scientist that will help us discover the information hidden in vast amounts of data, and help us make smarter decisions to deliver even better products. Your primary focus will be in applying data mining and machine learning principles and techniques, doing statistical analysis, and building high quality prediction systems integrated with our products.

Good communication skills and solid technology knowledge are required to ensure all rules are appropriate and to ensure secure and efficient payment processing and data management can be achieved in the ecosystem. Excellent people management capabilities are also needed in this role. Your ability to ask questions, connect the dots and to communicate complex data in a simple, actionable way is what we are looking for.

You will engage with the following stakeholders:

Internal

• Finance, Legal, Audit
• RPP Product and Scheme
• ICT and Security
• Service Centre
• Product and Customer Lifecycle Management
• Senior Management
• CVM Cognition

External

• Payments Association of South Africa, South African Reserve Bank, SAMOS
• All bank and non-bank customers
• Fintech companies

Your key responsibilities include:

• Interact with Technology and Product teams to understand sources of data, challenges around interpretation of data and provide guidance around the data we should log in our systems to maximise correlation and value
• Collaboration with product management and business leaders to understand current challenges and needs
• Collect data from external sources to enhance our understanding of the changes in our data trends
• Ensure data integrity
• Perform quantitative analysis on Product data for monthly product reporting
• Create data mining and analysis approaches, coding standards, statistical reporting
• Providing direction to scientists around data needs, prioritising sources and defining schema and performance requirements
• Investigate tools for transformation of data into usable formats depending on the use case, paying special attention to real-time vs batch data
• Research and Development of new data analysis technologies and validating their value within the environment
• Provisioning of Data Visualisations tools to clearly communicate findings and enable some self-service functionality where suited
• Provide easy to consume endpoints to enable other technology teams to consume data findings and utilise them in other systems
• Predictive and classification models using supervised and unsupervised learning

Qualifications / Knowledge

• Degree in a quantitative field (Physics, Maths, Statistics, Finance, Economics,
• Computer Science, etc.
• Relevant data science certifications such as Python, Microsoft, AWS, Hadoop, big data, machine learning, cloud infrastructure
• In-depth understanding of SQL and working with large-scale data sets
• Competent in Machine Learning principles and techniques

Experience

• 5+ Years’ experience as a Data Scientist
• Demonstrable history of devising and overseeing data-centered projects
• Probability and Statistics
• Prescriptive Modelling