At a Glance
- Tasks: Manage content development and collaborate with experts to create engaging data science courses.
- Company: Join DataCamp, a dynamic platform empowering learners in Data and AI skills.
- Benefits: Competitive salary, flexible hours, remote work, and annual learning budget.
- Other info: Enjoy international retreats and a supportive global culture.
- Why this job: Tackle exciting educational challenges and work with top-tier instructors from leading organisations.
- Qualifications: Strong background in Python, SQL, and instructional design; experience with AI systems is a plus.
The predicted salary is between 60000 - 80000 £ per year.
About DataCamp
Data and AI skills are critical for thriving today, and DataCamp is the platform that empowers everyone to learn them. We help individuals and Fortune 1000 companies close the data and AI skills gap through world‑class learning, hands‑on training, and a global community of expert instructors.
About the role
This is an individual contributor role. You will collaborate with subject matter experts and leverage in‑house‑built cutting‑edge AI tooling to scale high‑quality course creation. Here's what your day‑to‑day will look like:
- Manage the entire content development lifecycle and deadlines.
- Source and recruit top‑tier subject‑matter experts as instructors.
- Collaborate with instructors to create engaging content.
- Consistently leverage a variety of off‑the‑shelf and in‑house AI systems to drive high‑quality content production.
- Design, review, and create content on data science and data engineering.
- You will review content from a learner perspective, ensuring it is technically accurate and pedagogically effective.
- Continuously assess course performance using learner feedback and engagement data to drive improvements.
- Identify and prioritize existing curriculum gaps or new topics in data science and data engineering.
Qualifications
- A solid technical background in Python and SQL.
- A technical background in data engineering is a plus.
- Strong expertise in instructional design, with proven experience designing, structuring, and teaching technical courses, and creating interactive, hands‑on learning experiences.
- Graduate degree (Master's or PhD) in Computer Science, AI, Data Science, or a related STEM field, or equivalent industry experience with hands‑on expertise in data science, machine learning, or software development.
- Strong experience with agentic AI systems such as Claude Code, Cursor, Replit. You can demonstrate you've increased your output 10x with AI.
Bonus if you have the following
- A deep understanding of the DataCamp course format—you have an intuitive understanding of what makes a great DataCamp course.
- An existing network of potential subject matter experts who can become DataCamp instructors.
- An extensive track record of building sophisticated AI systems and workflows.
Why DataCamp?
Joining DataCamp means becoming part of a dynamic, creative, and international start‑up. Here are just a few of the reasons why you'll love being on our team:
- Exciting Challenges – Tackle some of the most important educational challenges in Data & AI.
- Work with the Best Instructors – Partner with top‑tier instructors from leading organizations like Microsoft, Hugging Face, AWS, and more.
- Competitive Compensation – We offer a competitive salary with attractive benefits.
- Work Flexibility – Benefit from flexible working hours and a remote‑friendly culture.
- Professional Growth – Access to a yearly learning & development budget.
- Global Culture – Join a team that values international collaboration.
- Annual Retreats – Participate in international company retreats, fostering a global team spirit.
- Tools & Setup – Receive an annual IT equipment budget to refresh your workspace.
Our competitive compensation package offers additional benefits. On top of your salary you will also receive extra legal benefits such as best‑in‑class medical insurance including dental and vision. Depending on your location additional benefits might be available to you.
Curriculum Manager - Data Science and AI employer: DataCamp
At DataCamp, we pride ourselves on being an exceptional employer that champions data literacy and empowers our employees to thrive in a dynamic, international start-up environment. With competitive compensation, flexible working hours, and a dedicated yearly learning budget, we foster a culture of growth and innovation where your unique talents are valued. Join us to make a meaningful impact in the world of data education while advancing your career alongside a diverse community of passionate professionals.
StudySmarter Expert Advice🤫
We think this is how you could land Curriculum Manager - Data Science and AI
✨Get Involved in Data Science Meetups
Tap into local data science meetups or workshops to connect with fellow enthusiasts and professionals. These events are goldmines for networking, and sometimes even lead directly to job openings at companies like DataCamp!
✨Show Off Your Projects
Start building a public portfolio showcasing your data science projects on platforms like GitHub or personal websites. Highlight unique analyses or models you've developed. This not only demonstrates your skills but also gets your name out there for roles like Curriculum Manager - Data Science and AI at DataCamp.
✨Leverage Professional Networks
Join professional bodies related to data science, like the Data Science Society or similar organisations. Getting involved can lead to mentorship opportunities and insider knowledge about full-time positions at companies like DataCamp.
✨Apply Directly through Our Website
When you find a suitable opening like Curriculum Manager - Data Science and AI at DataCamp, make sure to apply directly through our website. It gives you an edge and shows you're keen to join our team. Plus, who doesn’t love a direct application? It’s easier than navigating through job boards!
We think you need these skills to ace Curriculum Manager - Data Science and AI
Some tips for your application 🫡
Show Off Your Projects:In the world of data science, your projects can speak volumes about your skills. Make sure to showcase a few key projects in your CV or portfolio, especially those that highlight your ability to work with data sets, build models, or use relevant tools like Python, R, or SQL. Don’t forget to include links to any GitHub repositories if applicable!
Quantify Your Achievements:Employers love numbers! When drafting your CV, highlight your achievements with quantifiable results. For instance, mention how your data analysis led to a certain percentage increase in efficiency or revenue at a previous job or project. These details can really make your application pop!
Craft a Tailored Cover Letter:For a full-time role at DataCamp, your cover letter should reflect your passion for data science and your excitement about the specific projects or values of the company. Dive into why you’re a good fit, how your skills align with their needs, and any unique perspectives you can bring to the team.
Stand Out with Relevant Courses and Certifications:Although experience talks, relevant courses or certifications can be your ticket to impressing hiring managers at DataCamp. Mention any standout courses you've completed that equipped you with essential skills, such as machine learning certifications or data visualisation courses. This shows your commitment to continuously developing your skills in the field!
How to prepare for a job interview at DataCamp
✨Brush Up on Your Statistics
For a data science role, we need to seriously sharpen our statistics skills. Get ready to tackle technical questions on probability distributions, hypothesis testing, and regression analysis. These are often the bread and butter of data science interviews, so don't just skim over them!
✨Showcase Your Projects
Prepare a killer portfolio showcasing your data science projects. We should include details about the datasets used, the tools and techniques applied, and the impact of your findings. If we can walk them through a particularly challenging project or a cool visualisation that had real-world implications, it’ll really make us stand out!
✨Get Comfortable with Python and R
Most data science positions require us to be proficient in programming languages like Python and R. We should practice common libraries like pandas, NumPy, and scikit-learn, and be ready for live coding exercises or algorithm questions. Showing off our coding chops can really impress the interviewers at DataCamp!
✨Prepare for Case Studies
Expect to encounter real-world case studies during the interview. We might be asked how we’d approach a data problem or analyse a dataset to extract insights. It's essential to think out loud and demonstrate our problem-solving process so that the interviewer can see our logical thinking in action.
