Data Capturing Or Receptionist Jobs in Johannesburg
Data Scientist
Network Finance.
North Johannesburg
Reference: NFP014177-AA-1 Are you a talented Data Scientist seeking an exciting opportunity to revolutionize harness the power of data to drive innovation and enhance customer experiences As a Data Scientist with us extract actionable insights from vast amounts of data. Your responsibilities will include: Collaborating teams to identify business challenges and develop data-driven solutions. Designing and implementing predictive risk assessment, and fraud detection. Utilizing big data technologies and cloud platforms to analyze and
share this job on whatsappData Scientist Johannesburg North
Network Finance.North Johannesburg
Reference: NFP014177-AA-1 Are you a talented Data Scientist seeking an exciting opportunity to revolutionize harness the power of data to drive innovation and enhance customer experiences As a Data Scientist with us extract actionable insights from vast amounts of data. Your responsibilities will include: Collaborating teams to identify business challenges and develop data-driven solutions. Designing and implementing predictive risk assessment, and fraud detection. Utilizing big data technologies and cloud platforms to analyze and
Fraud Data Scientist NEW
Network Finance.Central Johannesburg
partner is looking for a highly analytical Fraud Data Scientist to join their team Job Description: A A leading financial institution is seeking a Data Scientist to join their fight against fraud. In this use your expertise to uncover hidden patterns in data and develop solutions that empower better decision-making Expertise: Provide deep knowledge and guidance for future data-driven projects focused on fraud and analytics. industry-wide and for individual clients. Data Management & Quality: Manage data quality issues related to fraud
Data Scientist Johannesburg Central NEW
Network Finance.Central Johannesburg
partner is looking for a highly analytical Fraud Data Scientist to join their team Job Description: A A leading financial institution is seeking a Data Scientist to join their fight against fraud. In this use your expertise to uncover hidden patterns in data and develop solutions that empower better decision-making Expertise: Provide deep knowledge and guidance for future data-driven projects focused on fraud and analytics. industry-wide and for individual clients. Data Management & Quality: Manage data quality issues related to fraud
Senior Data Scientist
Network Finance.Central Johannesburg
Reference: NFP014235-ASl-1 Take your data science skill set to the next level About Us: We leverage cutting-edge algorithms to address business challenges. Conduct data analysis to extract meaningful insights and trends Qualifications: Bachelor's degree in Computer Science, Data Science, Statistics, or a related field. A Master's preferred. 5 years proven experience as an AI Analyst, Data Scientist, or similar role. Proficiency in programming scikit-learn). Strong understanding of statistical analysis, data mining, and predictive modeling. Excellent problem-solving
Senior Data Scientist Johannesburg Central
Network Finance.Central Johannesburg
Reference: NFP014235-ASl-1 Take your data science skill set to the next level About Us: We leverage cutting-edge algorithms to address business challenges. Conduct data analysis to extract meaningful insights and trends Qualifications: Bachelor's degree in Computer Science, Data Science, Statistics, or a related field. A Master's preferred. 5 years proven experience as an AI Analyst, Data Scientist, or similar role. Proficiency in programming scikit-learn). Strong understanding of statistical analysis, data mining, and predictive modeling. Excellent problem-solving
Analyst Johannesburg North
Network Finance.North Johannesburg
Transform Data into Action: Become our MDU Analyst and Drive Success The MDU (Master Data Universe) Analyst direction for maintaining and optimizing the Master Data Universe, a crucial database central to operational outreach times. Data Enrichment and Analysis : Oversee data enrichment efforts and analyse data to provide Continuous Improvement : Stay updated with the latest data management technologies and methodologies, continuously Statistics, Data Science, or a related field. Experience : 5 years in data analysis, data management,
Mdu Analyst
Network Finance.North Johannesburg
Transform Data into Action: Become our MDU Analyst and Drive Success The MDU (Master Data Universe) Analyst direction for maintaining and optimizing the Master Data Universe, a crucial database central to operational outreach times. Data Enrichment and Analysis : Oversee data enrichment efforts and analyse data to provide Continuous Improvement : Stay updated with the latest data management technologies and methodologies, continuously Statistics, Data Science, or a related field. Experience : 5 years in data analysis, data management,
Head Of Business Intelligence
Network Finance.North Johannesburg
NFP014239-AA-1 Looking to lead a team in shaping data-driven strategies and insights? As a key member Responsibilities: Lead the BI team in designing and implementing data models, dashboards, and reports. Collaborate with solutions. Develop and maintain data governance policies and procedures to ensure data accuracy and integrity BI tools and empower users to access and analyze data independently. Stay abreast of industry trends and projects and teams. Expertise in data warehousing, ETL processes, and data visualization tools. Strong understanding
Head Of Business Intelligence Johannesburg North
Network Finance.North Johannesburg
NFP014239-AA-1 Looking to lead a team in shaping data-driven strategies and insights? As a key member Responsibilities: Lead the BI team in designing and implementing data models, dashboards, and reports. Collaborate with solutions. Develop and maintain data governance policies and procedures to ensure data accuracy and integrity BI tools and empower users to access and analyze data independently. Stay abreast of industry trends and projects and teams. Expertise in data warehousing, ETL processes, and data visualization tools. Strong understanding
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