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- Tasks: Guide students in a no-code data science course, focusing on real-world projects and practical applications.
- Company: Join the Academy of the Digital Industries, a global Edtech platform empowering future 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 in education.
- Qualifications: 3+ years as a Data Scientist, strong data analysis skills, and a passion for teaching.
- Other info: Position based in London with opportunities for in-person, online, and hybrid workshops.
The predicted salary is between 36000 - 60000 £ per year.
About Academy of the Digital Industries: 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.
Requirements:
- 3+ years of proven experience as a Data Scientist.
- Proficient in English.
- 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.
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
Familiarise yourself with the latest trends in data science and no-code tools. This will not only help you during interviews but also demonstrate your commitment to staying current in the field, which is crucial for a role focused on mentoring.
✨Tip Number 2
Engage with the data science community through online forums or local meetups. Networking can provide valuable insights and connections that may lead to opportunities at StudySmarter or similar organisations.
✨Tip Number 3
Prepare to discuss your teaching philosophy and how you would create an inclusive learning environment. Being able to articulate your approach to mentoring and student engagement will set you apart from other candidates.
✨Tip Number 4
Showcase any previous experience in developing course content or leading workshops. Highlighting your ability to create engaging and practical learning experiences will resonate well with the hiring team at StudySmarter.
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 proficiency in data handling, analysis, and teaching skills. Use bullet points for clarity and ensure it is well-structured.
Write a Strong Cover Letter: In your cover letter, express your passion for mentoring and teaching. Provide specific examples of how you've guided students or colleagues in the past, and explain why you're excited about the opportunity at the Academy of the Digital Industries.
Highlight Relevant Skills: Make sure to mention your strong communication and presentation skills, as well as your ability to create an engaging learning environment. Discuss any experience you have with both code and no-code tools, as this is crucial for the role.
How to prepare for a job interview at Academy of Digital Industries
✨Show Your Passion for Teaching
During the interview, 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 make complex data concepts accessible to students.
✨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 Trends
Show that you are up-to-date with the latest developments in data science and education. Mention any recent tools or methodologies you've integrated into your teaching, as this reflects your commitment to continuous learning and improvement.
