Curriculum Manager - Data Science and Analytics

DataCamp Limited
City of London
4 months ago
Applications closed
Curriculum Manager - Data Science and Analytics

2 days ago Be among the first 25 applicants


Get AI-powered advice on this job and more exclusive features.


About DataCamp

DataCamp's mission is to empower everyone with the data and AI skills essential for 21st‑century success. By providing practical, engaging learning experiences, DataCamp equips learners and organizations of all sizes to harness the power of data and AI. As a trusted partner to over 17 million learners and 6,000+ companies, including 80% of the Fortune 1000, DataCamp is leading the charge in addressing the critical data and AI skills shortage.


About The Role

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.


In this role, you'll collaborate with instructors and teams across curriculum, engineering, product, and marketing to expand and improve our Data Science and Analytics curriculum, helping millions worldwide upskill in data and AI.


About You

At DataCamp, we value action, ownership, transparency, and a deep focus on learners. You're someone who:



  • Has a strong technical background.
  • Is passionate about data education and wants to shape how the next generation of data scientists and data engineers learn.
  • Stays current with the latest trends, tools, and technologies.
  • Thrives in fast‑paced environments.
  • Communicates clearly and can make complex ideas easy to understand.
  • Takes ownership and brings structure to ambiguity.

Responsibilities

  • Manage the entire content development lifecycle and deadlines.
  • Source and recruit top‑tier instructors who are subject matter experts.
  • Collaborate with instructors to create engaging content.
  • Design, review, and create content covering topics in data science and data analytics, ensuring technical accuracy and pedagogical effectiveness.
  • Work with cross‑functional teams to enable content creation for more advanced technical topics.
  • Continuously assess course performance using learner feedback and engagement data to drive improvements.
  • Own your portion of the curriculum roadmap.
  • Identify and prioritize existing curriculum gaps or new topics in data science.
  • Identify opportunities and develop AI workflows to optimize content creation and enhance quality.

We're Excited About You Because You Have The Following

  • A solid technical background in Python and SQL, with proficiency in R. You can quickly learn new concepts in data science and identify what learners need to know.
  • 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 Data Science, Statistics, AI, Computer Science, or a related STEM field, or equivalent industry experience with hands‑on expertise in data science or machine learning.
  • Ability to work collaboratively with both technical and non‑technical stakeholders. You thrive wearing multiple hats.
  • Strong written and verbal communication skills and attention to detail.
  • Strong sense of ownership, accountability, and urgency.
  • Experience using AI tools for content creation and workflow automation without sacrificing truthfulness and quality.

Bonus if you have the following

  • PhD in Data Science, Statistics, AI, Computer Science, or a related field.
  • 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.

Why Datacamp

  • 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.


At DataCamp, we value diverse experiences and perspectives. If you're excited about this role but don't meet every qualification, we still encourage you to apply. We believe skills can be developed and are committed to fostering an inclusive workplace where everyone can thrive. Your unique talents and perspectives are what make our team great!


#J-18808-Ljbffr

Subscribe to Future Tech Insights for the latest jobs & insights, direct to your inbox.

By subscribing, you agree to our privacy policy and terms of service.

Industry Insights

Discover insightful articles, industry insights, expert tips, and curated resources.

How Many Machine Learning Tools Do You Need to Know to Get a Machine Learning Job?

Machine learning is one of the most exciting and rapidly growing areas of tech. But for job seekers it can also feel like a maze of tools, frameworks and platforms. One job advert wants TensorFlow and Keras. Another mentions PyTorch, scikit-learn and Spark. A third lists Mlflow, Docker, Kubernetes and more. With so many names out there, it’s easy to fall into the trap of thinking you must learn everything just to be competitive. Here’s the honest truth most machine learning hiring managers won’t say out loud: 👉 They don’t hire you because you know every tool. They hire you because you can solve real problems with the tools you know. Tools are important — no doubt — but context, judgement and outcomes matter far more. So how many machine learning tools do you actually need to know to get a job? For most job seekers, the real number is far smaller than you think — and more logically grouped. This guide breaks down exactly what employers expect, which tools are core, which are role-specific, and how to structure your learning for real career results.

What Hiring Managers Look for First in Machine Learning Job Applications (UK Guide)

Whether you’re applying for machine learning engineer, applied scientist, research scientist, ML Ops or data scientist roles, hiring managers scan applications quickly — often making decisions before they’ve read beyond the top third of your CV. In the competitive UK market, it’s not enough to list skills. You must send clear signals of relevance, delivery, impact, reasoning and readiness for production — and do it within the first few lines of your CV or portfolio. This guide walks you through exactly what hiring managers look for first in machine learning applications, how they evaluate CVs and portfolios, and what you can do to improve your chances of getting shortlisted at every stage — from your CV and LinkedIn profile to your cover letter and project portfolio.

MLOps Jobs in the UK: The Complete Career Guide for Machine Learning Professionals

Machine learning has moved from experimentation to production at scale. As a result, MLOps jobs have become some of the most in-demand and best-paid roles in the UK tech market. For job seekers with experience in machine learning, data science, software engineering or cloud infrastructure, MLOps represents a powerful career pivot or progression. This guide is designed to help you understand what MLOps roles involve, which skills employers are hiring for, how to transition into MLOps, salary expectations in the UK, and how to land your next role using specialist platforms like MachineLearningJobs.co.uk.