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Lecturer in Data Science

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Job Description - Lecturer in Data Science

Bayswater Education is a vibrant network of global centres dedicated for over 75 years while inspiring people through a life-changing educational and travelling experience. We’re passionate about growing communities of global thinkers and explorers, at home and abroad – whatever their story. We're not just reimagining education; we're revolutionizing it. We're on a mission to provide young minds, locally and globally, with life-changing adventures and a chance to cultivate a social conscience. For every student we teach, we will teach another from a disadvantaged background. We provide classes beyond our borders and extend our commitment to education to regions where they are most needed!



The Role



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. 



Key responsibilities:




  • 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



What We Are Looking For



Knowledge, qualifications, and experience



Essential




  • 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



This job description is provided as a guide to the role. It is not intended to be an exhaustive description of duties and responsibilities. It may be subject to periodic revision to meet business requirements. 



Bayswater is an equal opportunity employer that is committed to diversity and inclusion in the workplace.





Bayswater is committed to safeguarding and promoting the welfare of children. As part of our Safer Recruitment Policy you will be asked to explain any gaps in your work and education history. You will also be required to undergo a DBS Enhanced Disclosure check and provide the contact details of at least 2 referees, who will be asked specifically if they have any concerns about your suitability to work with people under 18. Evidence of eligibility to work in the UK must be provided at interview stage.



We are committed to ensuring that your data is secure with us. For more information, you can read our 


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