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

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

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 learningNLPAgentic AITime series analysis and forecastingAudit existing learning materials (lectures, tutorials, assessments, projects) to identify areas for refresh or enhancementIntegrate new industry trends and case studies to ensure learners can apply data science concepts to real-world problemsRefine and adapt assessments, assignments, and project-based activities to maintain their challenge, clarity, and career relevanceUpdate and record tutorials or demonstrations, showcasing new tools, techniques, and methodologies in practiceCollaborate with the product development team and faculty partners to adjust learning pathways where needed, ensuring learner journeys remain clear, engaging, and outcome-focusedProvide critical industry perspectives during review cycles and workshops, ensuring the course reflects current and emerging data science practicesContribute updated content such as code snippets, algorithms, and datasets to enrich learning activities

Champion FourthRev''s commitment to continuous learning, employability outcomes, and academic-industry integration.

Requirements

Education:

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

Experience:

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

Skills:

Strong communication and collaboration skillsAbility to translate complex technical concepts into understandable and actionable insights for learnersProficient in designing and crafting real-world problems and scenarios for project-based learningAn innovative mindset with a passion for continuous learning and growthFamiliarity with online learning platforms and tools

Benefits

Benefits

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

Get ready to:

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 succeedYour voice matters. We believe that people matter and that our success as an organisation is driven by the people within itYou''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 causesWe 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 levelEmployment type

Employment type Part-timeJob function

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