Data Science Jobs in Johannesburg
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Search Results - Data Science Jobs in Johannesburg
54 Collective-Johannesburg
are in the ballpark with the number of years of experience we are looking for, please apply and we will consider you for the role.
About The Role
We’re looking for a Data Science Lead to support our portfolio startups, with a mix of strategy work and hands-on...
appcast.io -
E-Merge-Johannesburg
A consultancy specialising in AI and applications, with a primary focus on helping enterprise clients to extract business value by implementing AI solutions and maximise a desired return on investment are in the market for a Data Science Programme...
Johannesburg
with organizational goals.
• Continuously enhance credit risk frameworks by staying updated on industry trends and best practices.
Qualifications:
• Bachelors or Masters degree in Mathematics, Statistics, Data Science, or a related field.
• Minimum 5-7 years...
Standard Bank of South Africa Limited-Johannesburg
from large datasets. Implement standard and proprietary algorithms for handling and processing data. Experience with common data science toolkits, such as SAS, R, SPSS, etc. Experience with data visualization tools, such as Power BI, Tableau, etc.
#J...
appcast.io -
Planet10-Johannesburg
We are seeking an experienced and highly skilled Senior Data Scientist/Engineer to join our team. The ideal candidate will have a robust background in data science and engineering, a proven track record of working with large datasets...
FNB Namibia-Johannesburg
time left to apply End Date: December 26, 2024 (12 days left to apply)
job requisition id R26304
Job Description
Hello Future Data Science Manager
Welcome to FNB, the home of the #changeables. We design for the shapeshifters and deliver products...
appcast.io -
E-Merge-Johannesburg
understanding of data science methodologies, machine learning algorithms, and a proven ability to drive business insights through advanced analytics.
Responsibilities:
• Leverage machine learning and statistical models to analyse large datasets from FMCG...
Data Science jobs – More locations:
Johannesburg
certification in data science will be considered a plus (e.g., Certified Data Scientist).
The ideal candidate should have a strong analytical mind, excellent problem-solving skills, and the ability to work in a fast-paced, dynamic environment....
The Recruitment Council-Johannesburg
Conducting root cause analysis
• Analysing situations or data that requires an in-depth evaluation of multiple factors
• Influencing stakeholders to obtain buy-in for concepts and ideas.
• Challenging the status quo with a view to improving the environment...
appcast.io -
Johannesburg
One of the leading Banks in South Africa is currently searching for a Lead Platform Engineer to be part of the team. As a Platform Engineer specializing in Data Science, you will play a crucial role in designing, implementing, and maintaining...
PBT Group-Johannesburg
and relevance.
• Collaborative Problem Solving: Work closely with business stakeholders, data engineers, and other data scientists to understand data needs, deliver insights, and recommend process improvements.
• Documentation: Ensure all data science processes...
E-Merge-Johannesburg
and report on the effectiveness of scorecard strategies.
• Active Learner, Change Agility, Credit Risk Analysis, Data Science, Machine Learning, Predictive Modelling, Problem Solving & Analytical, Python Programming, R Code, SQL, Statistical Data Analysis...
PBT Group-Johannesburg
Lead the development and implementation of data science models, including machine learning, deep learning, and statistical models to address business challenges.
• Design, develop, and optimise end-to-end data pipelines to extract, transform, and load...
TalentCru-Johannesburg
A company that specialises in offering reflect cutting-edge global innovations, tailored to the South African market has a thrilling opportunity for a client service oriented Junior Analyst in Gauteng. Bachelorâ€s Degree in Data Science, Computer...
Johannesburg
customer behaviour, optimise resource allocation, and improve operational efficiency.
• Collaborate with stakeholders to define key performance indicators (KPIs) and develop metrics for measuring the success of data science initiatives.
• Design...
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