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- Tasks: Mentor students in data analysis using no-code tools and guide them through real-world projects.
- Company: Join a global Edtech platform dedicated to training the next generation of digital professionals.
- Benefits: Enjoy flexible working options, a collaborative environment, and the chance to make a real impact.
- Why this job: Be part of a mission-driven team that values curiosity, excellence, and community engagement.
- Qualifications: 3+ years as a Data Scientist with strong skills in data handling and analysis.
- Other info: Based in London, with opportunities for in-person, online, and hybrid workshops.
The predicted salary is between 36000 - 60000 £ per year.
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ADI was born out of a simple need: we couldn’t find enough professionals with the right digital skills, so we decided to train them ourselves.
What started in 2018 as a grassroots initiative in Tbilisi has evolved into a global Edtech platform with over 30,000 alumni.
Our programs are built by experts, designed around real world demands, and delivered in an environment of collaboration, curiosity, and growth.
In 2023, we partnered with Tether to take our mission global, expanding access to practical, career-boosting education for learners everywhere. Today, we’re building the next generation of digital professionals: marketers, designers, coders, and creators who don’t just want a job, they want to make an impact.
We’re guided by values we truly live by: putting people first, staying curious, doing excellent work, and taking ownership.
Role Overview
As a Data Science Mentor, you will primarily support learners in a no-code focused course, helping them understand and apply data analysis and visualization concepts using tools like spreadsheets and dashboards.
You’ll guide students through practical, real-world projects while building their confidence without requiring prior coding experience. There is also scope to expand into supporting code-based data science learning, such as Python, as our course offerings grow.
Responsibilities
Develop a course syllabus in collaboration with the academic team.
Be passionate about mentoring, guiding, and sharing your knowledge through student interaction.
Lead both in-person, online and hybrid workshops, following a detailed syllabus that encourages active discussion and project-based learning.
Shape the course content based on your expertise, focusing on real-world applications that are cool and accessible to the general public.
Enrich the learning experience by building a strong community and drawing on your industry expertise to make the content relevant.
Support and encourage students as they undergo a transformative learning journey.
Provide constructive feedback to help students improve and grow.
Foster a positive, engaging, and inclusive learning environment for all students.
Stay current with the latest development trends and best practices, integrating new technologies and methods into the syllabus.
Work closely with the academic team to ensure a seamless course experience.
3+ years of proven experience as a Data Scientist.
Based in London and able to travel to Central London to deliver evening workshops.
Strong proficiency in data handling and analysis (both code & no-code tools).
Comfortable with framing questions from data.
Solid understanding of data visualisation and storytelling.
Ability to help students understand concepts and solve problems by providing support.
Passion for teaching and the ability to inspire and motivate students.
Organisation and time-management skills.
Strong communication and presentation skills.
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Lecturer Data Science UK employer: Academy of Digital Industries
Contact Detail:
Academy of Digital Industries Recruiting Team
StudySmarter Expert Advice 🤫
We think this is how you could land Lecturer Data Science UK
✨Tip Number 1
Network with professionals in the data science field, especially those who have experience in teaching or mentoring. Attend industry meetups or webinars to connect with potential colleagues and gain insights into what makes a great lecturer.
✨Tip Number 2
Familiarise yourself with the latest trends in data science education, particularly no-code tools. This will not only enhance your understanding but also demonstrate your commitment to staying current, which is crucial for the role.
✨Tip Number 3
Prepare to showcase your mentoring style during interviews. Think of examples where you've successfully guided students or peers through complex concepts, as this will highlight your passion for teaching and ability to inspire.
✨Tip Number 4
Research StudySmarter's values and mission thoroughly. Tailor your discussions to reflect how your personal teaching philosophy aligns with our commitment to putting people first and fostering a collaborative learning environment.
We think you need these skills to ace Lecturer Data Science UK
Some tips for your application 🫡
Understand the Role: Before applying, make sure you fully understand the responsibilities and requirements of the Data Science Mentor position. Tailor your application to highlight how your experience aligns with their needs.
Craft a Compelling CV: Your CV should clearly showcase your 3+ years of experience as a Data Scientist. Emphasise your skills in data handling, analysis, and visualisation, as well as any teaching or mentoring experience you have.
Write a Strong Cover Letter: In your cover letter, express your passion for teaching and mentoring. Share specific examples of how you've supported learners in the past and how you can contribute to creating an engaging learning environment.
Highlight Relevant Projects: Include details about any relevant projects you've worked on that demonstrate your ability to teach data analysis and visualisation concepts. This could include workshops you've led or courses you've developed.
How to prepare for a job interview at Academy of Digital Industries
✨Show Your Passion for Teaching
During the interview, make sure to express your enthusiasm for mentoring and guiding students. Share specific examples of how you've inspired learners in the past, as this role is all about fostering a positive learning environment.
✨Demonstrate Real-World Applications
Be prepared to discuss how you would shape course content based on real-world applications. Highlight any relevant projects or experiences that showcase your ability to connect theory with practice, especially using no-code tools.
✨Engage with the Interviewers
Treat the interview like a workshop. Encourage discussion by asking questions about their teaching philosophy and how they envision the role. This will demonstrate your collaborative spirit and commitment to creating an engaging learning experience.
✨Stay Current with Industry Trends
Make sure to mention your efforts to stay updated with the latest trends in data science and education technology. Discuss any recent developments or tools you've integrated into your teaching, showing that you're proactive about enhancing your skills.
