- Johannesburg
- Salary: R58.00 - R75.00 Per Month
- Job Type: Permanent
- Sectors: Retail Technology
- Reference: 78176
Vacancy Details
Employer: Pepkor Lifestyle
Job Title: Data Scientist
Job Specification:
We are seeking a highly skilled and experienced Data Scientist to join our team. The successful candidate will utilize data, machine learning, statistical and mathematical models to solve complex business problems and enable the effective use of data within our organization. In addition, the candidate should have a strong understanding of credit risk best practices and methodologies, as well as knowledge of collections, credit granting, and risk methodologies, processes, and systems. The candidate should also have knowledge of best practice scorecard development and relevant legislation such as the NCA, Debt Collection Act, and CPA. Furthermore, the candidate must possess strong networks and knowledge of emerging trends across Data/Analytics, particularly in the areas of Machine Learning and Deep Learning SQL, SAS and PYTHON.
Responsibilities:
1. Model data preparation: Collect, clean, and preprocess relevant data sets for analysis, ensuring data quality and integrity.
2. Build statistical models: Develop and implement statistical models and algorithms using advanced techniques such as regression, classification, clustering, and time-series analysis.
3. Define strategy to enable business use of predictive models: Collaborate with cross-functional teams to identify business opportunities and define strategies to effectively deploy predictive models to drive business decisions and outcomes.
4. Monitoring/Calibration of models: Continuously monitor and calibrate existing models to ensure their accuracy, effectiveness, and reliability.
Requirements:
- A minimum of 5 to 10 years of experience working as a Data Scientist or in a similar role.
- Expert knowledge and hands-on experience in utilizing data, machine learning, statistical, and mathematical models to solve complex business problems.
- Strong understanding of credit risk best practices and methodologies.
- Extensive knowledge of collections, credit granting, and risk methodologies, processes, and systems.
- Proficiency in developing and implementing best practice scorecard development.
- Familiarity with relevant legislation such as the NCA, Debt Collection Act, and CPA.
- Strong networks and knowledge of emerging trends across Data/Analytics, particularly in the areas of Machine Learning and Deep Learning.
- Excellent problem-solving and analytical skills.
strong programming skills in languages such as Python, R, or SQL.
- Ability to communicate complex ideas and findings to both technical and non-technical stakeholders.
- Bachelor's or Master's degree in a relevant field (e.g., Data Science, Mathematics, Statistics, Computer Science).
Job Specification:
We are seeking a highly skilled and experienced Data Scientist to join our team. The successful candidate will utilize data, machine learning, statistical and mathematical models to solve complex business problems and enable the effective use of data within our organization. In addition, the candidate should have a strong understanding of credit risk best practices and methodologies, as well as knowledge of collections, credit granting, and risk methodologies, processes, and systems. The candidate should also have knowledge of best practice scorecard development and relevant legislation such as the NCA, Debt Collection Act, and CPA. Furthermore, the candidate must possess strong networks and knowledge of emerging trends across Data/Analytics, particularly in the areas of Machine Learning and Deep Learning SQL, SAS and PYTHON.
Responsibilities:
1. Model data preparation: Collect, clean, and preprocess relevant data sets for analysis, ensuring data quality and integrity.
2. Build statistical models: Develop and implement statistical models and algorithms using advanced techniques such as regression, classification, clustering, and time-series analysis.
3. Define strategy to enable business use of predictive models: Collaborate with cross-functional teams to identify business opportunities and define strategies to effectively deploy predictive models to drive business decisions and outcomes.
4. Monitoring/Calibration of models: Continuously monitor and calibrate existing models to ensure their accuracy, effectiveness, and reliability.
Requirements:
- A minimum of 5 to 10 years of experience working as a Data Scientist or in a similar role.
- Expert knowledge and hands-on experience in utilizing data, machine learning, statistical, and mathematical models to solve complex business problems.
- Strong understanding of credit risk best practices and methodologies.
- Extensive knowledge of collections, credit granting, and risk methodologies, processes, and systems.
- Proficiency in developing and implementing best practice scorecard development.
- Familiarity with relevant legislation such as the NCA, Debt Collection Act, and CPA.
- Strong networks and knowledge of emerging trends across Data/Analytics, particularly in the areas of Machine Learning and Deep Learning.
- Excellent problem-solving and analytical skills.
strong programming skills in languages such as Python, R, or SQL.
- Ability to communicate complex ideas and findings to both technical and non-technical stakeholders.
- Bachelor's or Master's degree in a relevant field (e.g., Data Science, Mathematics, Statistics, Computer Science).
1 person has applied for this job. 39 people have viewed this job.
About Pepkor Lifestyle
Creating a comfortable lifestyle
Pepkor Lifestyle gives value-conscious mass-market customers the opportunity and means to create a comfortable lifestyle, transforming houses into homes.
Value lifestyle product offering
The Pepkor Lifestyle brands provide quality, value-for-money furniture, appliances and household goods from well-known international brands to locally manufactured household names. Products cover all aspects of life, from leisure for families to small office requirements for entrepreneurs.
Join our team and be part of our exciting journey as we continue to transform homes and enrich the lives of our customers and employees.
"Talent wins games, but teamwork and intelligence wins championships" -
Michael Jordan
Pepkor Lifestyle gives value-conscious mass-market customers the opportunity and means to create a comfortable lifestyle, transforming houses into homes.
Value lifestyle product offering
The Pepkor Lifestyle brands provide quality, value-for-money furniture, appliances and household goods from well-known international brands to locally manufactured household names. Products cover all aspects of life, from leisure for families to small office requirements for entrepreneurs.
Join our team and be part of our exciting journey as we continue to transform homes and enrich the lives of our customers and employees.
"Talent wins games, but teamwork and intelligence wins championships" -
Michael Jordan
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