Be at the heart of actionFly remote-controlled drones into enemy territory to gather vital information.

Apply Now

Lead Subject Expert - Data Science (10+ years experience)

RS Consult
City of London
2 weeks ago
Create job alert
Overview

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.

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 10 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.

Skills:

  • 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
Benefits
  • 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.
Get ready to:
  • youll 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!


#J-18808-Ljbffr

Related Jobs

View all jobs

Lead Subject Expert - Data Science (10+ years experience)

Lead Subject Expert - Data Science (10+ years experience)

Lead Machine Learning Research Engineer, Applied AI

Pricing Technology Lead

Pricing Technology Lead

Senior Data Scientist

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 to Write an AI CV that Beats ATS (UK examples)

Writing an AI CV for the UK market is about clarity, credibility, and alignment. Recruiters spend seconds scanning the top third of your CV, while Applicant Tracking Systems (ATS) check for relevant skills & recent impact. Your goal is to make both happy without gimmicks: plain structure, sharp evidence, and links that prove you can ship to production. This guide shows you exactly how to do that. You’ll get a clean CV anatomy, a phrase bank for measurable bullets, GitHub & portfolio tips, and three copy-ready UK examples (junior, mid, research). Paste the structure, replace the details, and tailor to each job ad.

AI Recruitment Trends 2025 (UK): What Job Seekers Must Know About Today’s Hiring Process

Summary: UK AI hiring has shifted from titles & puzzle rounds to skills, portfolios, evals, safety, governance & measurable business impact. This guide explains what’s changed, what to expect in interviews, and how to prepare—especially for LLM application, MLOps/platform, data science, AI product & safety roles. Who this is for: AI/ML engineers, LLM engineers, data scientists, MLOps/platform engineers, AI product managers, applied researchers & safety/governance specialists targeting roles in the UK.

Why AI Careers in the UK Are Becoming More Multidisciplinary

Artificial intelligence is no longer a single-discipline pursuit. In the UK, employers increasingly want talent that can code and communicate, model and manage risk, experiment and empathise. That shift is reshaping job descriptions, training pathways & career progression. AI is touching regulated sectors, sensitive user journeys & public services — so the work now sits at the crossroads of computer science, law, ethics, psychology, linguistics & design. This isn’t a buzzword-driven change. It’s happening because real systems are deployed in the wild where people have rights, needs, habits & constraints. As models move from lab demos to products that diagnose, advise, detect fraud, personalise education or generate media, teams must align performance with accountability, safety & usability. The UK’s maturing AI ecosystem — from startups to FTSE 100s, consultancies, the public sector & universities — is responding by hiring multidisciplinary teams who can anticipate social impact as confidently as they ship features. Below, we unpack the forces behind this change, spotlight five disciplines now fused with AI roles, show what it means for UK job-seekers & employers, and map practical steps to future-proof your CV.