Description:
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 techniquesFunctional Competencies
SQL Data analysis Data visualization Data modelling Microsoft business intelligence data technologies (SSIS, SSAS, SQL Server) Data warehouse concepts and best practiceBehavioural 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
10 Mar 2025;
from:
gumtree.co.za