Subject Matter Expert - Data Science (Part-Time, Fractional appointment)

Subject Matter Expert - Data Science (Part-Time, Fractional appointment)

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Your Mission

As a Subject Matter Expert in Data Science at FourthRev, you will play a vital role in keeping an already-developed online learning programme at the forefront of industry and academic relevance. Leveraging your expertise, you will review, update, and enhance course content, ensuring that learners continue to gain cutting-edge, employable skills in a rapidly evolving area of the digital economy.

Your Mission

As a Subject Matter Expert in Data Science at FourthRev, you will play a vital role in keeping an already-developed online learning programme at the forefront of industry and academic relevance. Leveraging your expertise, you will review, update, and enhance course content, ensuring that learners continue to gain cutting-edge, employable skills in a rapidly evolving area of the digital economy.

What your day to day will look like with us

• Review and update programme curriculum to ensure continued alignment with current industry practices and tools, with a focus on:
• Supervised learning
• NLP
• Agentic AI
• Time series analysis and forecasting
• Audit existing learning materials (lectures, tutorials, assessments, projects) to identify areas for refresh or enhancement
• Integrate new industry trends and case studies to ensure learners can apply data science concepts to real-world problems
• Refine and adapt assessments, assignments, and project-based activities to maintain their challenge, clarity, and career relevance
• Update and record tutorials or demonstrations, showcasing new tools, techniques, and methodologies in practice
• Collaborate with the product development team and faculty partners to adjust learning pathways where needed, ensuring learner journeys remain clear, engaging, and outcome-focused
• Provide critical industry perspectives during review cycles and workshops, ensuring the course reflects current and emerging data science practices
• Contribute updated content such as code snippets, algorithms, and datasets to enrich learning activities
  
  

• Advanced degree (Ph.D. or Masters) in Data Science, Computer Science, Business Analytics, or a related field
  
  

• Minimum 5 years of professional experience in data science with a focus on NLP and time series analysis
• Proven track record of employing advanced data science techniques to solve complex business problems
• Previous educational or training experience is a plus, especially in online course development or instruction
• Hands-on experience with tools and platforms like TensorFlow, XGBoost, and other ML frameworks
  
  

• Strong communication and collaboration skills
• Ability to translate complex technical concepts into understandable and actionable insights for learners
• Proficient in designing and crafting real-world problems and scenarios for project-based learning
• An innovative mindset with a passion for continuous learning and growth
• Familiarity with online learning platforms and tools
  
  

• Contribute to a programme already making a global impact and help it evolve with the industry
• Be part of a mission-driven team closing the digital skills gap worldwide
• Flexible, remote-first working environment with strong emphasis on professional development and wellbeing
• Join a global, diverse, and supportive team where your expertise will directly shape learner outcomes
  
  

• You'll tackle unique and challenging opportunities and embrace the unknown, supported by an amazing and talented team of professionals who genuinely care and want you to succeed
• Your voice matters. We believe that people matter and that our success as an organisation is driven by the people within it
• You'll become part of a greater community. We're passionate about enabling the growth of others, mentorship, lifelong learning, supporting learners in the digital economy and other causes
• We are a globally diverse team with colleagues spanning different time zones including the U.K. Australia and South Africa. Let us know where you are, we will see if we can make it work!

Seniority level

• Seniority level

  Mid-Senior level

Employment type

• Employment type

  Part-time

Job function

• Job function

  Consulting

• Industries

  IT Services and IT Consulting

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