Engineer the Quantum RevolutionYour expertise can help us shape the future of quantum computing at Oxford Ionics.

View Open Roles

Curriculum Manager - Data Science and Data Engineering

DataCamp
London
2 weeks ago
Applications closed

Related Jobs

View all jobs

Research Assistant/Associate in Data Science for Construction Productivity (Fixed Term)

Research Associate (data science/rangelands)

Assistant Professor (Research and Education) in Statistics and Data Science - School of Mathema[...]

Associate Professor (Research and Education) in Statistics and Data Science - School of Mathema[...]

4953-E - Programme Lead - Data Science (Greenwich Online)

Data Analyst Technical Trainer

Curriculum Manager - Data Science and Data Engineering

London, United Kingdom; United Kingdom

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

As a Curriculum Manager - Data Science and Data Engineering, you will directly contribute to DataCamp’s mission to democratize data education by helping build the best platform to learn data and AI skills. In this role, you’ll work closely with expert instructors and internal stakeholders across curriculum, engineering, product, and marketing to improve and continue to expand our data science and data engineering curriculum. With strong technical competency in Python and SQL, and the ability to lead and influence across functional groups, you’ll develop impactful content that gives learners the skills they need to thrive in a rapidly evolving data landscape.

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

In this role, you will focus your time on the following areas:

  • 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 data science and data engineering topics. You will review content from a learner perspective, ensuring it is technically accurate and pedagogically effective.
  • 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 and data engineering.
  • Identify opportunities and develop AI workflows to optimize content creation and enhance quality.

Qualifications

  • Strong technical background in Python and SQL.
  • Experience in topics like deep learning, natural language processing, database design, and data and machine learning pipelines.
  • Experience and interest in learning new tools and technologies.
  • Experience in a technical education role or educational content creation.
  • Strong written communication skills and attention to detail.
  • Ability to work collaboratively with both technical and non-technical stakeholders.

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.

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!

Apply for this job

*

indicates a required field

First Name *

Last Name *

Email *

Phone

Location (City) *

Resume/CV *

Enter manually

Accepted file types: pdf, doc, docx, txt, rtf

LinkedIn Profile *

Website

Where are you currently based? * Select...

This role requires strong hands-on experience with Python and SQL. Could you briefly describe how you have used both in your recent work or projects? *

Do you have experience with any of the following topics: deep learning, natural language processing, database design, or building data and machine learning pipelines? * Select...

Do you have experience in a technical education role or in creating educational content? * Select...


#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.

Pre-Employment Checks for Machine Learning Jobs: DBS, References & Right-to-Work and more Explained

Pre-employment screening in machine learning reflects the discipline's unique position at the intersection of artificial intelligence research, algorithmic decision-making, and transformative business automation. Machine learning professionals often have privileged access to proprietary datasets, cutting-edge algorithms, and strategic AI systems that form the foundation of organizational competitive advantage and automated decision-making capabilities. The machine learning industry operates within complex regulatory frameworks spanning AI governance directives, algorithmic accountability requirements, and emerging ML ethics regulations. Machine learning specialists must demonstrate not only technical competence in model development and deployment but also deep understanding of algorithmic fairness, AI safety principles, and the societal implications of automated decision-making at scale. Modern machine learning roles frequently involve developing systems that impact hiring decisions, financial services, healthcare diagnostics, and autonomous operations across multiple regulatory jurisdictions and ethical frameworks simultaneously. The combination of algorithmic influence, predictive capabilities, and automated decision-making authority makes thorough candidate verification essential for maintaining compliance, fairness, and public trust in AI-powered systems.

Why Now Is the Perfect Time to Launch Your Career in Machine Learning: The UK's Intelligence Revolution

The United Kingdom stands at the epicentre of a machine learning revolution that's fundamentally transforming how we solve problems, deliver services, and unlock insights from data at unprecedented scale. From the AI-powered diagnostic systems revolutionising healthcare in Manchester to the algorithmic trading platforms driving London's financial markets, Britain's embrace of intelligent systems has created an extraordinary demand for skilled machine learning professionals that dramatically exceeds the current talent supply. If you've been seeking a career at the forefront of technological innovation or looking to position yourself in one of the most impactful sectors of the digital economy, machine learning represents an exceptional opportunity. The convergence of abundant data availability, computational power accessibility, advanced algorithmic development, and enterprise AI adoption has created perfect conditions for machine learning career success.

Automate Your Machine Learning Jobs Search: Using ChatGPT, RSS & Alerts to Save Hours Each Week

ML jobs are everywhere—product companies, labs, consultancies, fintech, healthtech, robotics—often hidden in ATS portals or duplicated across boards. The fastest way to stay on top of them isn’t more scrolling; it’s automation. With keyword-rich alerts, RSS feeds, and a reusable ChatGPT workflow, you can bring relevant roles to you, triage them in minutes, and tailor strong applications without burning your evenings. This is a copy-paste playbook for www.machinelearningjobs.co.uk readers. It’s UK-centric, practical, and designed to save you hours each week. What You’ll Have Working In 30 Minutes A role & keyword map spanning LLM/NLP, Vision, Core ML, Recommenders, MLOps/Platform, Research/Applied Science, and Edge/Inference optimisation. Shareable Boolean searches you can paste into Google & job boards to cut noise. Always-on alerts & RSS feeds delivering fresh roles to your inbox/reader. A ChatGPT “ML Job Scout” prompt that deduplicates, scores fit, and outputs tailored actions. A lightweight pipeline tracker so deadlines and follow-ups never slip.