Data Scientists (All levels) (CH1109)

SUMMARY:
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POSITION INFO:

Join our client in the credit Industry as a Data Scientist!

Are you passionate about turning data into actionable insights?

Our client is seeking talented Data Scientists on all levels (Senior & Junior), to join their team! In this role, you’ll leverage your expertise in data engineering and data management to develop innovative solutions that drive data-driven decision-making. Your contributions will play a key role in optimizing business processes and enhancing decision support.

If you thrive in a fast-paced environment and have a knack for transforming complex data into business value, we’d love to hear from you!

Qualifications

• Degree in information technology / mathematics / engineering / actuarial science or related discipline.

Experience

• Data Scientist role – Junior/Mid:
  • 1+ years’ experience in a data science or decision science role building predictive models for credit risk assessment using machine learning and statistical techniques (Data Scientist role)
• Senior Data Scientist role:
  • 5+ years’ experience in a data science or decision science role building predictive models for credit risk assessment using machine learning and statistical techniques

Functional Competencies

• SQL
• Data analysis
• Data visualization
• Data modelling
• Microsoft business intelligence data technologies (SSIS, SSAS, SQL Server)
• Data warehouse concepts and best practice

Behavioural competencies

• Information gathering and problem analysis
• Applying Professional / Specialist / Technical Expertise
• Creating and Innovating
• Quality and Detail orientation
• Analysing

Key Responsibilities

1. Information Gathering and Solution Design

• Identify opportunities in the business to solve business problems using data science solutions
• Identify 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.

General:

• By submitting your application, you are giving Capital H consent to the storage and processing of your personal information.
• Our client is committed to creating equal employment opportunities. In keeping with our client’s employment equity requirements, only South African citizens will be considered.
• Only shortlisted candidates will be contacted. Should you not hear from us after 30 days you may consider your application unsuccessful
• Please include your current salary and salary expectations.