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Data Science Jobs in Johannesburg

1 - 15 of 118
1 - 15 of 118
Search Results - Data Science Jobs in Johannesburg
E-Merge-Johannesburg
Join a dynamic and innovative Data Science team as a Senior Data Science Consultant, where strategic thinking meets technical excellence. In this full-time remote role, you''ll collaborate with clients to uncover strategic insights from alternative...
Verve Media Group-Johannesburg
up-to-date with the latest advancements in data science, machine learning, and AI, applying this knowledge to drive innovation and improvement in data-driven products and solutions  •  Develop and maintain predictive models and algorithms to drive...
appcast.io -
83data-Johannesburg
83data City of Johannesburg, Gauteng, South Africa Recruitment Consultant - Technology and DATA - Specialising in Data and AI Data Science | Machine Learning | Data Engineering | AI Job Title: Head of Data Science Salary: £100,000-£120,000...
Discovery Limited-Johannesburg
Select how often (in days) to receive an alert: Senior Data Scientist and Tech Lead Business Unit: Discovery Health Function: Data Sciences Date: 26 Apr 2025 Discovery Health Senior Data Scientist and Technical Lead About Discovery...
appcast.io -
E-Merge-Johannesburg
Proficiency in SQL and Python. Qualifications and Experience:  •  Bsc Computer Science, BSC Honours Computer Science, BSC Maths Statistics, BEng (all disciplines)  •  10 years relevant (Data Management, Data Engineering, Data Science, Data Analytics...
Pygio-Johannesburg
quality machine learning models  •  Partner with business areas, help translate the challenges into actionable data science models  •  Create and maintain internal data science tooling platforms  •  Building both predictive and prescriptive machine learning...
appcast.io -
E-Merge-Johannesburg
to develop and maintain AWS data engineering architecture for a machine learning project and prepare data for machine learning and data visualisation applications. Responsibilities:  •  Develop data science solutions and integrate and scale these solutions...
E-Merge-Pretoria, 53 km from Johannesburg
A global group with a focus on innovation topics as well as comprehensive IT solutions and Global Team collaboration driving experiences with a deep insight into the compliance and IT Methodology processes is in search for a Data Science Engineer...
E-Merge-Johannesburg
telematics‑driven claims prediction, catastrophe risk modeling).  •  Contribute to our cloud‑first stack (Azure / AWS, Databricks, Snowflake) Qualifications and Experience:  •  Bachelors or Masters in Data Science, Stats, Comp Sci, Math, or Financial...
Mindworx Consulting-Johannesburg
Skills and Qualifications: Required:  •  Proven experience as a Business Analyst with hands-on involvement in data science and AI projects  •  Strong understanding of machine learning algorithms, statistical methods, and data analysis techniques...
E-Merge-Johannesburg
indicators (KPIs) and develop metrics for measuring the success of data science initiatives.  •  Design and implement data visualisation tools and dashboards to communicate insights effectively to non-technical stakeholders.  •  Stay current with emerging...
Verve Media Group-Johannesburg
candidate will have a strong background in artificial intelligence, machine learning, and data science, with a proven track record of leading high-performing teams and delivering impactful AI projects. The Lead AI Scientist will work closely with cross...
appcast.io -
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...
Discovery Limited-Johannesburg
Select how often (in days) to receive an alert: Lead Data Scientist - AI Business Unit: Discovery Health Function: Data Sciences Date: 26 Apr 2025 Discovery Health Lead Data Scientist About Discovery Discovery’s core purpose is to make...
appcast.io -
E-Merge-Johannesburg
indicators (KPIs) and develop metrics for measuring the success of data science initiatives.  •  Design and implement data visualisation tools and dashboards to communicate insights effectively to non-technical stakeholders.  •  Stay current with emerging...
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