Data Scientists (All levels) (CH1109)

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

Location: Kuils River, ZA

Posted Date: 3/12/2025