Lecturer in Data Science

We are looking for an experienced Data Science / AI Educator or Industry Professional to teach our Introduction to Applied Data Science course for learners aged 16+. This programme is designed for students with no prior experience in data science, coding, or analytics, and introduces them to the foundations of working with real-world datasets through a highly practical, project-based approach. This 30 hour programme introduces learners to how data is used to understand real-world questions and communicate insights clearly. Teaching is practical, collaborative, and project-based, helping students build confidence with data through hands-on tasks and team investigation. The programme will be running from 18th May - 27th June. Sessions will be held on Tuesday and Thursday afternoons 1pm-5.30pm.,

• Design, adapt, and deliver engaging lesson materials in line with the prepared course specification
• Facilitate highly interactive workshops that make data concepts accessible to beginners
• Guide students through hands-on beginner-friendly data activities and collaborative investigations
• Support learners in team-based Agile project work and sprint reviews
• Help students translate findings into clear visual stories and presentations
• Provide formative feedback on student outputs, teamwork, and communication
• Differentiate delivery for learners with varied academic, linguistic, and technical backgrounds
• Maintain accurate records of session delivery and student engagement
• Liaise with fellow lecturers and programme management regarding student progress and pastoral or academic concerns
• Keep up to date with developments in applied data science, AI literacy, and pedagogy
  
  A postgraduate qualification (Master's or above) in Data Science, Computer Science, AI, Statistics, Business Analytics, or a related discipline, or equivalent senior industry experience
• Experience teaching or training beginner-level learners, ideally students aged 16+
• Strong practical experience with data visualisation, dashboards, spreadsheet analysis, and guided Python workflows
• Confidence using AI tools as part of a real-world data workflow
• Experience supporting students through project-based, collaborative, or inquiry-led learning
• Ability to teach technical concepts in an accessible way to an international cohort of second-language English speakers
• Availability to teach during the programme dates and location specified
Desired
• Teaching qualification or HE teaching accreditation (PGCHE, FHEA, MA in HE Practice, DipTESOL, etc.)
• Experience using Agile, sprint-based, or design-thinking approaches in education or industry
• Familiarity with ethical AI, privacy, and responsible data use frameworks
Skills and Attributes
• A passion for making data and AI approachable for first-time learners
• Ability to deliver dynamic, highly practical sessions with real-world relevance
• Strong workshop facilitation and presentation skills
• Excellent communicator who can simplify complex ideas without oversimplifying them
• Skilled at creating inclusive learning environments for multicultural and multilingual cohorts
• Enthusiasm for helping students build confidence, curiosity, and career awareness
• Comfortable moving between technical guidance, project coaching, and presentation support
Legal Requirements - Eligibility to work in the UK - Enhanced DBS Disclosure