MB NorthStar Consulting is hiring for a client in the Higher Education sector. The client is an educational institution founded with the purpose of making world-class higher education more accessible to students.
ABOUT THE ORGANIZATION:
Led by an experienced leadership team with strong academic and industry expertise, the organisation is committed to building high-quality progression routes into international higher education. Guided by core values of teamwork, integrity, commitment and leadership, As an organization, they aspire to be a trusted delivery partner for universities worldwide. Through these partnerships, they aim to prepare globally competent graduates and foster sustainable collaborations that deliver long-term educational impact.
ABOUT THE ROLE
Reporting to: Programme Leader
Location: Noida, Onsite
The Lecturer in Data Science and Artificial Intelligence is responsible for delivering high-quality teaching, learning and assessment across the Certificate in Data Science and AI programme. The post holder will contribute to all stages of the academic cycle, including curriculum delivery, student support, assessment, moderation, quality assurance, enhancement activities and academic administration.
The role requires expertise across data science, artificial intelligence, machine learning, programming, statistics and computing, together with the ability to teach students from diverse international backgrounds. The Lecturer will act as a Personal Academic Tutor, provide academic guidance and contribute to creating an engaging and supportive learning environment.
The post holder will normally teach up to 18 contact hours per week and will contribute to curriculum enhancement, scholarly activity, student engagement initiatives and academic quality processes.
The role is particularly suited to individuals with experience of Transnational Education (TNE), international pathway programmes, collaborative partnerships and progression routes into UK and international universities.
The ideal candidate should be available during busy periods and weekends as required, particularly during student induction, assessment, moderation and progression periods. Annual leave may be restricted during peak operational periods.
Key Responsibilities
Learning, Teaching and Assessment
- Deliver high-quality lectures, seminars, workshops, tutorials and assessment support sessions across the Certificate in Entrepreneurship and Innovation Programme.
- Teach across at least three of the following subject areas:
- Foundations of Computing and Programming
- Python Programming
- Data Science and Analytics
- Data Visualisation and Data Storytelling
- Mathematics and Statistics for Data Science
- Artificial Intelligence and Machine Learning
- Data Management and Databases
- SQL and Data Engineering Fundamentals
- Applied Data Projects
- Academic and Professional Skills
- Ethical AI and Responsible Innovation
- Data Governance and Data Protection
- Deliver teaching in accordance with approved Module Specifications, Programme Specifications and assessment regulations.
- Prepare and maintain high-quality teaching materials, lesson plans, presentations, learning activities and assessment guidance.
- Support the effective delivery of the block teaching model adopted by the organization.
- Ensure teaching materials remain current, industry-informed and aligned with partner university expectations.
- Promote active, student-centred and inclusive learning approaches.
- Integrate digital technologies and AI-enabled learning tools appropriately into teaching and learning activities.
- Maintain accurate teaching records and attendance records.
- Monitor student engagement and attendance and escalate concerns through established procedures.
Personal Academic Tutoring and Student Support
- Act as a Personal Academic Tutor for an allocated group of students.
- Conduct regular academic tutorials and progression meetings.
- Support students experiencing academic, welfare or engagement difficulties.
- Refer students to specialist support services where appropriate.
- Maintain accurate records of student interactions and action plans.
- Support student retention, progression and achievement initiatives.
- Contribute to induction, orientation and transition activities.
Assessment and Moderation
- Design, administer and mark assessments in accordance with programme requirements.
- Provide constructive and developmental feedback within agreed turnaround times.
- Participate in internal moderation and standardisation activities.
- Participate in assessment review and enhancement activities.
- Contribute to academic integrity processes and investigations where required.
- Maintain accurate assessment and progression records.
- Support assessment boards and progression boards as required.
Quality Assurance and Enhancement
- Participate actively in programme monitoring and review processes.
- Contribute to annual monitoring and enhancement activities.
- Support implementation of recommendations arising from partner university reviews, external moderation and student feedback.
- Contribute to maintaining compliance with relevant regulatory and quality assurance requirements.
- Engage with peer observation and teaching enhancement initiatives.
- Support continuous improvement of learning, teaching and assessment practices.
Curriculum Development
- Contribute to the review and enhancement of module content and learning materials.
- Support development of new modules, assessments and learning resources.
- Assist with curriculum mapping and articulation activities with university partners.
- Contribute to the development of online, blended and technology-enhanced learning resources.
- Support Virtual Learning Environment development and content enhancement activities.
Academic Administration
- Maintain module sites on the Virtual Learning Environment (VLE).
- Upload learning materials, assessments and student guidance documentation in a timely manner.
- Contribute to preparation of programme documentation, handbooks and reports.
- Support data collection for quality monitoring and performance reporting.
- Attend programme meetings, staff meetings and committee meetings as required.
External Engagement
- Participate in open days, recruitment events and partner engagement activities.
- Represent the organization professionally when engaging with partner schools, universities and external stakeholders.
- Contribute to promotional activities and applicant engagement sessions.
- Support progression and articulation discussions with partner universities where required.
Scholarly Activity
- Maintain subject expertise through continuous professional development.
- Engage in scholarly activity relevant to entrepreneurship, innovation and enterprise education.
- Contribute to pedagogic innovation and enhancement initiatives.
- Maintain awareness of developments in entrepreneurship education, AI, digital business and emerging technologies.
- Undertake any other duties reasonably required by the Programme Leader, Director – Strategy and TNE, or other members of the Senior Leadership Team.
REQUIREMENTS
TRAINING AND EDUCATIONS (Mandatory)
- Master's degree in Data Science, Artificial Intelligence, Computer Science, Computing, Machine Learning, Software Engineering, Statistics, Mathematics, Information Systems or a closely related discipline.
- Teaching qualification or willingness to obtain one.
- Fellowship of Advance HE (FHEA) or willingness to obtain within an agreed timeframe.
- Professional qualifications in Data Science, AI, Cloud Computing, Analytics or Software Development are desirable.
EXPERIENCE (Mandatory)
- Experience teaching in Higher Education.
- Experience teaching Data Science, Artificial Intelligence, Computing or related subjects.
- Experience designing and delivering assessments.
- Experience supporting students from diverse international backgrounds.
- Experience using Virtual Learning Environments.
- Experience providing academic tutoring and student support.
- Experience participating in moderation and quality assurance activities.
- Experience of blended and online learning delivery.
Desirable
- Experience working on Transnational Education (TNE) programmes.
- Experience teaching on international pathway programmes.
- Experience working with UK, Australian or international university partnerships.
- Experience of collaborative provision and articulation arrangements.
- Experience teaching in international higher education environments.
- Experience supervising applied computing or data science projects.
- Industry experience in data analytics, AI, software development or related fields.
SKILLS AND KNOWELDGE (Essential)
- Strong knowledge of Data Science and AI pronciples and practice.
- Ability to teach across multiple business and enterprise disciplines.
- Understanding of contemporary entrepreneurial ecosystems and start-up environments.
- Excellent communication and presentation skills.
- Strong assessment and feedback skills.
- Strong organisational and time-management skills.
- Ability to manage competing priorities and deadlines.
- Ability to engage and motivate students.
- Strong digital literacy skills.
- Ability to work collaboratively within academic teams.
- Ability to produce high-quality teaching and learning materials.
- Knowledge of AI-enabled learning technologies and digital pedagogy.
BEHAVOURAL SKILLS (Essential)
- Commitment to student-centred learning.
- Professional integrity and ethical conduct.
- Excellent interpersonal skills.
- Cultural awareness and sensitivity.
- Positive and proactive attitude.
- Commitment to continuous improvement.
- Resilience and adaptability.
- Strong team-working skills.
- Commitment to equality, diversity and inclusion.
- Commitment to the organization's values of teamwork, integrity, commitment and leadership.
Pay: ₹1,200,000.00 - ₹1,400,000.00 per year
Ability to commute/relocate:
- Noida, Uttar Pradesh (Noida): Reliably commute or planning to relocate before starting work (Required)
License/Certification:
- Fellowship of Advance HE (FHEA) (Required)
Work Location: In person
