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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 27th July - 5th September. Sessions will be held on Tuesday and Thursday afternoons 1pm-4pm.
Job Responsibility:
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
Requirements:
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
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
Nice to have:
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