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- Tasks: Support MSc Data Science students and guide their final projects remotely.
- Company: Goldsmiths, renowned for its innovative online education.
- Benefits: Flexible remote work with competitive pay per session and assessment.
- Why this job: Make a real difference in students' academic journeys while working from anywhere.
- Qualifications: Postgraduate qualification in data science and experience in higher education.
- Other info: Join a supportive team dedicated to student success and growth.
The predicted salary is between 1000 - 2000 £ per month.
Online Tutors with a specialist background as a Final Project Supervisor to support the online MSc Data Science programme, with academic direction from Goldsmiths. We are looking for enthusiastic and motivated individuals with experience in higher education and distance learning. Applicants will need to have extensive experience of undertaking assessment duties similar to those outlined in the role description.
Responsibilities:
- Provide proactive support to students via the Virtual Learning Environment.
- Mark summative assessments and provide detailed feedback.
- Work closely with Module Leader, Programme Director and Programme Manager.
Module Specification:
Final Project Supervisor. Support students to work individually on an extended project, incorporating knowledge developed in the MSc Data Science programme. Provide guidance throughout the project.
Location: Remote
Employment Type: Self‑employed contractor
Salary: £1,312.20 flat fee per study session. Assessment marking is paid separately at £24.53 per Project proposal; £40.56 per Project final submission and £13.06 for each exam marked.
Candidate Profile:
- Motivated individual who enjoys working with students and is driven to support student success.
- Experience working in a Higher Education Institution.
- Data science or related qualification at Postgraduate level.
Further Information:
To be considered, submit Covering Letter and CV before midnight on 18th February 2026. Provide professional references – at least two individuals who can speak to your professional skills and accomplishments. For queries, contact Online Tutor Network team.
MSc Data Science Online Tutor (Financial Markets Module) in London employer: University of London
Contact Detail:
University of London Recruiting Team
StudySmarter Expert Advice 🤫
We think this is how you could land MSc Data Science Online Tutor (Financial Markets Module) in London
✨Tip Number 1
Network like a pro! Reach out to your connections in the education and data science fields. A friendly chat can lead to opportunities you might not find on job boards.
✨Tip Number 2
Show off your expertise! Create a portfolio showcasing your work in data science and tutoring. This will give potential employers a taste of what you can bring to the table.
✨Tip Number 3
Prepare for interviews by practising common questions related to online tutoring and assessment marking. We recommend role-playing with a friend to boost your confidence!
✨Tip Number 4
Don’t forget to apply through our website! It’s the best way to ensure your application gets noticed. Plus, we love seeing enthusiastic candidates who are keen to join our team!
We think you need these skills to ace MSc Data Science Online Tutor (Financial Markets Module) in London
Some tips for your application 🫡
Craft a Compelling Cover Letter: Your cover letter is your chance to shine! Make sure to highlight your experience in higher education and distance learning, and how it aligns with the role of an Online Tutor. We want to see your enthusiasm for supporting student success!
Tailor Your CV: Don’t just send a generic CV! Tailor it to showcase your relevant qualifications and experiences, especially those related to data science and assessment duties. We’re looking for specifics that demonstrate your fit for the MSc Data Science programme.
Professional References Matter: Include at least two professional references who can vouch for your skills and accomplishments. Make sure they know you’re applying for this role so they can provide relevant insights. We want to hear about your impact in previous positions!
Apply Through Our Website: Make sure to submit your application through our website before the deadline! It’s the easiest way for us to receive your materials and keep everything organised. Don’t miss out on this opportunity!
How to prepare for a job interview at University of London
✨Know Your Stuff
Make sure you brush up on your data science knowledge, especially in financial markets. Be ready to discuss your experience in higher education and distance learning, as well as any assessment duties you've handled before.
✨Show Your Passion for Teaching
During the interview, let your enthusiasm for supporting student success shine through. Share examples of how you've motivated students in the past and how you plan to engage them in the online environment.
✨Prepare for Scenario Questions
Expect questions that ask how you'd handle specific situations, like providing feedback on assessments or guiding a student through their final project. Think of real-life examples to illustrate your approach.
✨Ask Insightful Questions
At the end of the interview, have a few thoughtful questions ready about the role, the team, or the programme. This shows your genuine interest and helps you determine if it's the right fit for you.