Lecturer in Data Analytics
In 2017, Ada launched its new Higher Level Apprenticeship in Digital Innovation, accredited by the Open University. At the end of the first two years of the programme, apprentices will gain a Foundation Degree in Digital Innovation, with progression opportunity to a full Bachelor Apprenticeship Degree. In addition to our established Degree Apprenticeship in Digital Innovation, we are about to launch a Higher Level Apprenticeship in Data Analytics & Visualisation.
We are seeking applications from individuals who can contribute directly to our new degree programme as lecturers in Data Analytics. The first year of the programme is delivered through an initial eight-week Launchpad, followed by week-long teaching, every six or seven weeks. For this role we are particularly seeking applicants who bring skills in statistical and automated data analysis using Python, data management, machine learning, database design and project planning. The role will undertake a variety of duties including, but not restricted to:
Design, develop and deliver a range of modules within the programme of study across Levels 4 to 6 in a variety of settings from small tutorials to large lectures.
Develop and apply appropriate teaching techniques and material which create interest, understanding and enthusiasm amongst students.
Ensure that course design and delivery comply with the quality standards and regulations of the College.
Setting and marking of assessments and provide constructive feedback to students.
Seeking ways of improving performance by reflecting on teaching design and delivery and obtaining and analysing feedback.
Lead and develop internal networks for example by participating in Institutional committee(s).
Lead and develop external networks for example with external examiners.
Develop links with external contacts such as employers and other educational bodies.
Successful candidates should have a Master degree qualification in a computing or related technical subjects, with a deep expertise in data analytics. Candidates with a Ph.D. are preferred. Applicants should have demonstrated excellent teaching in higher education or have presented regularly to technical audiences in an industry setting. Candidates should display a thirst for knowledge and academic learning in the context of real world challenges and a strong desire to see their theoretical work applied in solving impactful problems. The post is available as soon as possible and is based in London (Tottenham Hale/ Wood Green/ Whitechapel).