Data Scientist

The Data Scientist is responsible for creating business value by applying data engineering and data management disciplines to build data solutions that enable data driven decision support, in order to optimize business decisions and processes.

Key Responsibilities

1. Information Gathering and Solution Design

• Identify opportunities in the business to solve business problems using data science solutionsIdentify the right problems to solve by analysing the viability of business request and ideas, in the predictive, prescriptive and cognitive analytics space
• Support business in the project definition stage by focusing on value creation
• Conceptualise the right solution to generate maximum value

2. Data Processing and Manipulation

• Find, clean and structure the data necessary for the solution in a SQL + Python environment
• Performance lead selection and support marketing with data requirements for marketing purposes
• Performance feature creation and performance outcome analysis
• Design and build feature stores to enable model development and deployment

3. Model Development and Validation

• Develop machine learning models for marketing and credit risk assessment across the credit life cycle
• Optimize models for accuracy, interpretability, and performance
• Document and present models to business stakeholders

4. Strategy Development

• Develop the decision strategy utilizing the model that will be implemented to improve the decision making
• Design champion/challenger strategies to evaluate model effectiveness and quantify business benefit

5. Deployment

• Work with Machine learning engineers, IT, credit risk to deploy models and decision strategies

6. Monitoring and Maintenance

• Monitor model and strategy performance and improve as required
• Monitor campaign performance and find ways using data science techniques to improve and automate processes

7. Personal and Functional leadership

• Take ownership of own work by delivering high quality work on time.
• Show initiative and be pro-active in finding opportunities to improve data and / or processes
• Take on guidance related to career development and show initiative by continuously improving skills, knowledge and the application thereof in designing and implementing solutions.

Functional Competencies

• SQL
• Data analysis
• Data visualization
• Data modelling
• Microsoft business intelligence data technologies (SSIS, SSAS, SQL Server)
• Data warehouse concepts and best practice
• Information gathering and problem analysis
• Applying Professional / Specialist / Technical Expertise
• Creating and Innovating
• Quality and Detail orientation
• Analyzing

Qualifications and Experience

• Degree in information technology / mathematics / engineering / actuarial science or related discipline.
• 1+ years experience in a data science or decision science role building predictive models for credit risk assessment using machine learning and statistical techniques

Should you not receive a response within 4 weeks of your application, please consider your application to be unsuccessful. By submitting your application, you are giving Pepkor Payments and Lending implicit consent to the storage and processing of your personal information. Pepkor Payments and Lending is committed to creating equal employment opportunities