Independent Contractor: Facilitator, Assessor, Critical Reviewer and Developer – Data Science (NQF 7)

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    "datePosted": "2026-05-22",
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    "description": "<p><span style=\"font-weight: bold\"><span style=\"color: rgb(224, 62, 45); font-family: arial, helvetica, sans-serif; font-weight: bold\">Closing date for applications: 31 July 2026<br></span><br>The Position </span></p>\n<p><br></p>\n<p>We are seeking an experienced and adaptable <span style=\"font-weight: bold\">External Contractor in Data Science</span> to support the delivery and ongoing development of a commerce-focused Data Science qualification.</p>\n<p><br>This is a <span style=\"font-weight: bold\">multi-functional academic role</span>, where you may be engaged, depending on operational needs and your expertise, in one or more of the following areas:</p>\n<ul>\n<li><span style=\"font-weight: bold\">Facilitation </span></li>\n<li><span style=\"font-weight: bold\">Assessment </span></li>\n<li><span style=\"font-weight: bold\">Critical review of material </span></li>\n</ul>\n<p>You will contribute to building a high-quality, applied Data Science learning experience that prepares students to operate effectively at the intersection of data, technology, and business decision-making.</p>\n<p> </p>\n<p>Depending on allocation, responsibilities may include:</p>\n<p><span style=\"font-weight: bold\">Facilitation</span></p>\n<ul>\n<li>Facilitate engaging, student-centred online learning</li>\n<li>Guide students through complex data science concepts</li>\n<li>Support student learning through discussion and academic support</li>\n</ul>\n<p><span style=\"font-weight: bold\"><br>Assessment</span></p>\n<ul>\n<li>Assess student submissions in line with academic standards</li>\n<li>Provide clear, constructive, and developmental feedback</li>\n<li>Ensure consistency and fairness in marking</li>\n</ul>\n<p><span style=\"font-weight: bold\"><br>Critical Review of material</span></p>\n<ul>\n<li>Critical review of qualification and material</li>\n<li>Contribute to the design or revision of:\n<ul>\n<li>Learning materials</li>\n<li>Assessments</li>\n<li>Module content</li>\n</ul>\n</li>\n<li>Ensure content is current, applied, and aligned with industry practice</li>\n</ul>\n<p> </p>\n<p><span style=\"font-weight: bold\">Key Competencies</span></p>\n<ul>\n<li>Strong analytical and critical thinking ability</li>\n<li>Ability to translate technical concepts into business-relevant insights</li>\n<li>Excellent written and verbal communication skills</li>\n<li>High level of organisation and reliability</li>\n<li>Commitment to academic quality and continuous improvement</li>\n</ul>\n<p><br></p>\n<p><span style=\"font-weight: bold\">Why Join Us?</span></p>\n<ul>\n<li>Be part of a forward-thinking, digitally enabled education environment</li>\n<li>Play a key role in preparing for the next generation of HR professionals</li>\n<li>Enjoy competitive remuneration and ongoing professional development</li>\n</ul>\n<p><br></p>\n<p><span style=\"font-weight: bold\">Education &amp; Experience Requirements </span></p>\n<ul>\n<li>A relevant Master’s degree in Data Science, Computer Science, Information Systems or a relevant field (NQF 8)</li>\n<li>Teaching, tutoring, or facilitation experience in higher education or professional learning environments</li>\n<li>Demonstrated knowledge of data analytics concepts and tools (e.g., Excel, Power BI, Tableau, SQL, Python, R, or similar)</li>\n<li>Strong analytical, communication, and feedback skills</li>\n<li>Excellent organisational and time-management abilities</li>\n<li>Familiarity with online learning platforms and digital engagement tools</li>\n<li>A passion for student learning, development, and academic quality</li>\n</ul>\n<p> </p>\n<p><span style=\"font-weight: bold\">Work Environment Requirements</span></p>\n<ul>\n<li>Stable, high-speed internet access (preferably fibre)</li>\n<li>A quiet, professional home working environment suitable for remote teaching</li>\n<li>This is a fully remote position<br><br></li>\n</ul>\n<p><span style=\"font-weight: bold\">By submitting your personal information and application, you hereby confirm: </span></p>\n<ul>\n<li>That you have read and understood our Privacy Policy/Notice. To access, copy and paste the link into your web browser:  </li>\n<li><span><a href=\"https://resource.milpark.ac.za/public/downloads/Milpark%20Education%20Applicant%20and%20Employee%20Privacy%20Notice.pdf\" target=\"_blank\" rel=\"noopener noreferrer\">https://resource.milpark.ac.za/public/downloads/Milpark%20Education%20Applicant%20and%20Employee%20Privacy%20Notice.pdf</a></span>  </li>\n<li>That you have no objection to us reviewing and processing any personal information provided in the course of your application, as well as any information that you have provided in support of your application.  </li>\n<li>That you have no objection to us retaining your personal information in our database for future employment opportunities that might arise. </li>\n</ul>\n<p> </p>\n<p><span style=\"font-weight: bold\">Preference will be given to applicants from designated groups, and appointments will be made in line with our EE requirements</span></p>\n<p><br></p>",
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