Data Scientists (Machine Learning - Credit Risk)

Click Here to Apply

Job Location

Cape Town City Centre, South Africa

Job Description

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 🌍 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

Location: Cape Town City Centre, ZA

Posted Date: 12/23/2024
Click Here to Apply
View More Jobs

Contact Information

Contact Human Resources

Posted

December 23, 2024
UID: 4973089875

AboutJobs.com does not guarantee the validity or accuracy of the job information posted in this database. It is the job seeker's responsibility to independently review all posting companies, contracts and job offers.