Part Time Faculty - Data Science

Position Summary - Flexible, High-Impact Premium Remote Academic Role The Online Educator (LINC Fellow) operates as an independent academic contributor, supporting Malaysia-based postgraduate students enrolled in the Masters of Data Science program offered by a leading Malaysian University. This role is designed for experienced professionals seeking a flexible, remote engagement that enables them to: Work from any location with reliable infrastructure Engage with a diverse international student cohort Collaborate with global faculty and academic teams Deliver meaningful academic impact in an online learning environment Earn premium compensation and performance rewards The LINC Fellow is responsible for providing structured academic support, personalised guidance, and high-quality feedback to students. About LINC Education - A World-Class Remote Teaching Opportunity LINC Education is a global leader in delivering high-quality, educator-led online learning experiences in partnership with globally ranked universities. Headquartered in Singapore, with teams across Australia, India, the UK, and the US, LINC has supported/enabled over 40,000 students since 2017 through a network of 1000+ expert educators worldwide. The organisation is known for its high-touch learning model, combining academic rigour with personalised student engagement, powered by its proprietary technology platform, LINCtrac. With <1>

Education Services, and is part of the education portfolio of SEEK Limited. LINC offers a unique opportunity for experienced educators to work remotely, collaborate with international faculty, and contribute to a truly global learning environment. What’s on offer? This is an 8-week contract-based role offering: Remuneration: Base pay of approx. INR 76000* Additional Performance incentives: Up to INR 30000 *The remuneration is estimated for a group of 25 students for an 8-week unit that requires ~10-15 hours of effort per week) Professional

Benefits Opportunity to work with globally recognised universities Exposure to international student cohorts Collaboration with experienced university faculty Access to specialised training in online education Continuous mentorship and professional development Enhancement of cross-cultural and interpersonal capabilities High-performing educators typically get repeat opportunities throughout the year. Work Flexibility Commitment of approximately 10-15 hours per week, 7 days a week. Fully remote working model Requirement of a stable internet connection and a distraction-free workspace Availability throughout the week as per the schedule Roles &

Responsibilities: The LINC Fellow is expected to: Provide subject matter guidance to a cohort of 25-30 postgraduate students Conduct 1:1 academic support sessions Conduct 1 hour group facilitation sessions per week Guide students on course content and assessments Perform assessment grading with detailed, constructive feedback Manage and moderate weekly discussion forums Support students in developing academic skills such as writing, research, and time management Deliver timely, proactive, and personalised support to student queries Engagement with students will take place via email, calls, and online platforms within defined availability hours. Key skills: Data Visualisation Data mining & pattern recognition Quantitative analysis & data modelling Dashboard design & interactive visualisation Business intelligence reporting Desired candidate profile: Doctorate / Master’s Degree in Data Science, Business Analytics, Data Analytics, or related field with distinction or first-class from a reputed institution Minimum 5+ years of corporate and/or teaching experience At least 3 years of formal teaching experience at a university or college (mandatory) Strong interpersonal skills with an empathetic and collaborative approach Ability to engage effectively with diverse, global learners Excellent written and verbal communication skills in English High level of comfort with digital tools and platforms Technical

Requirements Personal laptop High-speed internet connection (>10 Mbps) Availability Requirement The candidate is expected to be available between 2:30 PM - 7:00 PM IST, 7 days a week, during which they may put in 1-2 hours of work based on student needs and marking load. If you wish to apply, please share your updated resume at [email protected]