"Lecturer Cyber Security"

Lecturer Cyber Security

London School of Commerce & IT

Programme: NCFE Level-4

Diploma: Data Analyst

Awarding Body: NCFE

Location: 59-66 Greenfield Road E1 1EJ, London, UK

Course Start Date: April 2026

Application Deadline: 27th February 2026

LSCI is a higher education college situated at the eastern fringe of London City. We are an OfS registered college and offer higher education courses in Business Management, Health and Social Science and Digital Technologies.

We are now seeking an enthusiastic and knowledgeable Lecturer to deliver the NCFE Level 4 Diploma : Data Analyst. The successful candidate will teach, assess and support learners through the delivery of high-quality education and training in data analytics. This role is ideal for individuals with industry or academic experience in data analysis who are passionate about upskilling the next generation of digital professionals.

Job description:

Teaching & Learning

• Deliver engaging, up-to-date and interactive lessons across all units of the Level 4 Data Analyst Diploma including:
  • Legislation and security standards applied to data analytics
  • Data fundamentals and lifecycle
  • Data structure and databases
  • Stakeholder engagement and user experience
  • Organisational data
  • Data mining and statistical analysis
• Use a variety of teaching methods (in-person and digital) to meet diverse learner needs.
• Prepare learners for assessment via practical assignments and portfolios in line with NCFE guidelines.

Assessment & Quality Assurance

• Set and mark assessments, ensuring all learning outcomes are covered and grading criteria are met.
• Provide detailed, constructive feedback to support learner progress.
• Participate in internal quality assurance processes and external quality assurance visits by NCFE.

Student Support

• Offer academic and pastoral support to learners, promoting progression into employment or further study.
• Encourage the development of professional behaviours such as problem-solving, resilience, adaptability and teamwork, as outlined in the course’s behavioural framework.

Curriculum Development & Planning

• Contribute to the planning, review and enhancement of the data analytics curriculum.
• Embed industry-relevant tools and technologies (e.g. Python, SQL, Excel, Power BI) into teaching delivery.
• Support contextualisation of course materials for real-world scenarios and data-driven industries.

Collaboration & Communication

• Liaise with colleagues, employers and stakeholders to ensure programme relevance and to promote work-readiness.
• Attend team meetings, training events and standardisation activities.

Person specification:

Essential:

• A degree in Data Science, or Computer Science, or Statistics, or Mathematics or in a related discipline
• Experience in data analyst role or teaching data analytics at FE/HE level
• Proficiency in data analysis tools (e.g. Python, SQL, Excel, Power BI)
• Excellent communication and organisational skills
• Understanding of safeguarding, equality and diversity, and health and safety in an educational setting

Desirable:

• Teaching qualification (e.g. PGCE, Cert Ed, or Level 5 Diploma in Education and Training) or willingness to work towards one
• Experience in delivering NCFE, HTQ or apprenticeship qualifications
• Familiarity with assessment and portfolio-based learning
• Understanding of current and emerging trends in data analytics and digital skills development
• Assessor qualifications and IQA qualifications