| Date | 2024-12-12 |
|---|---|
| Job Title | Data Scientists (Machine Learning – Credit Risk) |
| Employer | More Information |
| Salary | |
| Category | It Computing Software |
| Location |
Cape Town Region / Cape Town City Centre |
Job Summary
Are you a driven Data Scientist with expertise in Machine Learning and experience in the Banking, Telecommunications, or Insurance sectors? Eager to apply your model-building skills to fuel innovation? Join the team and make an impact If you`re based in Cape Town or open to relocation, this opportunity is for you ð?? Key skills: Machine Learning, K-Means, Linear Regression, Logistic Regression, Decision Trees, NLP Key
Responsibilities:
Develop, implement, and optimize Machine Learning models to tackle complex business challenges. Analyze large datasets to deliver actionable insights for data-driven decision-making. Collaborate with cross-functional teams to align business objectives with data strategies. Present findings and model results to executives and stakeholders in an impactful way. Continuously improve models to meet evolving data and business needs. Stay updated with the latest Data Science and Machine Learning advancements. Qualifications: BSc in Mathematics, Statistics, or Actuarial Science (Honours/Masters preferred). 3-5 years of experience as a Data Scientist, especially within Banking , Telecommunications , or Insurance . Proven expertise in Machine Learning , model-building, and data analysis. Proficiency in Python, R, SQL , or similar statistical programming languages. Strong problem-solving skills, with the ability to turn data into actionable insights. Excellent communication skills to present complex data to non-technical stakeholders. Take the lead in driving innovative credit risk solutions and apply today
Data Scientists (Machine Learning – Credit Risk) position available in Cape Town Region, Cape Town City Centre. This job position was posted by . The job has been posted on 2024-12-12 in the It Computing Software category
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Cape Town City Centre: Data Scientists (Machine Learning – Credit Risk)
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Data Scientists (Machine Learning – Credit Risk)
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