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Minimum requirements: BSc Construction Studies / BSc Construction Management /BSc Quantity Surveying or experience in Consulting - Built environment, working knowledge of full project life cycle and PM principles Office 365, advanced Excel and PM Bok, MS Project Working knowledge of JBCC, FIDIC, NEC, GCC contracts Valid
Minimum requirements: BSc. / BTech Construction Studies / BSc Construction Management / BSc Quantity Surveying 365, intermediate Excel PM Bok and MS Project Working knowledge of JBCC, FIDIC, NEC, GCC contracts Valid
the Netherlands. BEng/BSc (Electrical or Mechatronic Engineering). Must have working experience in design programming of PLC, HMI and SCADA systems. Project-based work within industrial automation. Industrial Automation requirements: BSc/BEng (Electrical or Mechatronic Engineering) Working experience with project-based work within
Learning, Econometrics, Operations Research, Statistics, Root Cause Diagnostics) to solve for defined Ability to work independently and collaboration across multiple teams and build sound working relationships about achieving results and statistics. Strong knowledge of statistical concepts Strong ability to identify (Preferable) degree in a related field such as Statistics, Mathematics, Computer Science or Engineering
journey. Qualifications: A Bachelor's Degree (BCom, BSc, BBusSci, BEng) - specialization includes (but not Economics, Investments, Engineering, Mathematics and Statistics. Skills/Competencies and Experience: Strong client
journey. Qualifications: A Bachelor's Degree (BCom, BSc, BBusSci, BEng) - specialization includes (but not Economics, Investments, Engineering, Mathematics and Statistics. Skills/Competencies and Experience: Strong client
risk. Key Responsibilities: Utilize advanced statistical techniques and machine learning algorithms to Qualifications: Degree in Data Science, Computer Science, Statistics, or a related field. Strong proficiency in programming learning algorithms and statistical modeling techniques. Experience working in a collections or finance-related
risk. Key Responsibilities: Utilize advanced statistical techniques and machine learning algorithms to Qualifications: Degree in Data Science, Computer Science, Statistics, or a related field. Strong proficiency in programming learning algorithms and statistical modeling techniques. Experience working in a collections or finance-related
Real exposure and practical learning in actual working environments Encouraged to be involved and think mentorship, guidance, and support Offered meaningful work and opportunities to contribute Held accountable knowledge of plant; processing and packing equipment. Working on all project stages from research and development scoping document for capital fund considerations. Working closely with Engineering teams and selected suppliers Requirements: An ability to work proficiently on Excel Vacation work or part-time work will be an advantage