Mine And Explosive Detection Dog Handler Jobs in South Africa
IT / Computing / Software
- Datacentrix (8)
- Network Finance. (6)
- Network It (6)
- Sabenza It Recruitment (4)
- South32 Sa Ltd (4)
- Mediro Ict Recruitment (3)
- Owethu Managed Services (3)
- Pro Development Group (3)
- 121talent Pty Ltd (2)
- Alinta Tech Solutions (2)
- Last 7 days (46)
- Last 3 days (14)
Specialist Analysis & Improvement Plant - Mamatwan Mine NEW
South32 Sa Ltd
Hotazel
Reference: 42507286 South32 is a globally diversified mining and metals company. Our purpose is to make a difference ABOUT HMM Hotazel Manganese Mines (HMM) is made up of two Manganese mines Mamatwan and Wessels. Both operations but aren't limited to: Evaluate and improve mining, mine planning and plant processes and systems and critical controls to improve safety;•Analyze mining, mine planning and plant processes to optimize production;•Identify production planning and management systems;•Understanding mine information systems, sound knowledge of Excel, PowerPoint
share this job on whatsappJunior Technical Support Specialist (mining) R15 000 – R20 000
Belmar PersonnelBoksburg
R15 000 – R20 000 REPORTING TO : Senior Technical Support Specialist • Liaise with stake holders on technical queries. • Create and maintain Bill of Materials. • Update and maintain the ERP system with technical detail. • Assist quality, production, internal and external sales with queries around technical co
Mine Engineering Data Analyst (c#, C++, Python, Java) Kempton Park, Rneg, R600 000 Ctc
Kempton Park
Mine Engineering Data Analyst (C#, C++, Python, Java) Kempton Park, Rneg, R600 000 ctc(Minimum of 3 years)
Mine Engineering Data Analyst (c#, C++, Python, Java) Kempton Park, Rneg, R600 000 Ctc From 600000 To 600000 (ctc) - Yearly
Rakrec Ltd Rakkgalakane RecruitmentKempton Park
From 600000 to 600000 (Ctc) - Yearly Introduction Manufacturing/Mining/Engineering Description Mine Engineering Data Analyst (C#, C++, Python Metallurgical Data science environment (Minimum of 3 years) Mining and mineral processing (Minimum of 3 years) Own have in: Data science environment (Min 3 years) Mining and mineral processing (Min 3 years) Microsoft Database query languages PostresSQL Pre-requisite of mining or process contextual Ability to analyse large
Soc Analyst Sandton
N-tegrate Talent Solutions Pty LtdSandton
optimization, tuning, and configuration to enhance detection capabilities and reduce false positives. Stay tools, including IDS/IPS, firewalls, endpoint detection and response (EDR), and antivirus solutions. Familiarity such as CompTIA Security, GIAC Certified Incident Handler (GCIH), or Certified Information Systems Security
Senior Business Analyst Johannesburg
Owethu Managed ServicesJohannesburg
risks Key Responsibilities: Fraud Detection and Analysis: Fraud Detection Strategy: Develop and implement implement effective fraud detection strategies in collaboration with cross-functional teams, leveraging advanced Collaborate with technical teams to design fraud detection and prevention solutions, ensuring alignment with fraudulent behavior, leveraging data mining techniques and fraud detection tools. Fraud Prevention Measures: regulatory guidelines and standards related to fraud detection and prevention, including Anti-Money Laundering
Junior Data Scientist
Johannesburg
Monthly
Data Scientist – Johannesburg – Up To R800k Per Annum
Johannesburg
800000 applying strong expertise in machine learning, data mining and conducting information retrieval within a new
Data Scientist Johannesburg Central
Network Finance.Central Johannesburg
and vulnerabilities. Develop and maintain fraud detection models that are both accurate and minimize disruptions Optimizing Detection Models: Continuously review, analyze, and improve core models used to detect fraud in Management: Balance client's needs for accurate fraud detection with minimizing disruptions to legitimate transactions Quality: Manage data quality issues related to fraud detection. Integrate new data sources when needed to improve Prior experience developing or working with fraud detection models is highly desirable. Experience in data
Fraud Data Scientist
Network Finance.Central Johannesburg
and vulnerabilities. Develop and maintain fraud detection models that are both accurate and minimize disruptions Optimizing Detection Models: Continuously review, analyze, and improve core models used to detect fraud in Management: Balance client's needs for accurate fraud detection with minimizing disruptions to legitimate transactions Quality: Manage data quality issues related to fraud detection. Integrate new data sources when needed to improve Prior experience developing or working with fraud detection models is highly desirable. Experience in data
Share on Facebook
Share on Twitter
Share on Linkedin