Acting as a primary internal authority for Data Science and Analytics, ensuring technical accuracy, relevance, and industry alignment across all programmes.
Acting as the end-to-end owner of learning products, designing systemic educational solutions - such as internal AI tools or automated grading processes, to solve delivery challenges at scale.
Designing, developing, and continuously improving high-quality, production-ready learning content
Delivering engaging, high-impact workshops to adult learners in virtual classrooms
Providing pedagogical coaching and line management to the Analytics team.
Leading the pedagogical scoping and educational narrative for commercial bids, working alongside sales and operational teams to ensure technical deliverables are feasible.
Managing the end-to-end delivery cycle of complex learning projects, ensuring all technical and pedagogical milestones are met.

Requirements

Experienced in designing and delivering technical learner-centric training programmes
A data science / analytics subject matter expert with strong practical experience
Confident coding in Python and familiar with AI copilots for code generation and AutoML python libraries
Deep technical knowledge of the data analytics lifecycle, including advanced Python, SQL, and practical use of Large Language Models in Data Analytics
Understanding how to teach the transition from basic code to production-grade analytics.
Able to own complex workstreams independently, from definition through to delivery
A strong communicator who can simplify complex ideas without losing accuracy
Highly organised, detail-oriented, and reliable in execution
Comfortable working across multiple stakeholders and priorities
Always keen to learn, improve and stretch your own knowledge, skills and behaviours.
Exposure to data engineering or software development practices (desirable)
Experience developing apprenticeship programmes (desirable)
Experience in line management or mentoring (desirable)
Experience with Excel, PowerBI, and Power Automate (desirable)
Familiar with semantic data modelling (desirable)
Experience with cloud-based platforms (AWS, Azure, or GCP) and familiarity with heavier technical engineering items such as Infrastructure as Code via Terraform or Large-scale Data tools like Spark (desirable)

Benefits

33 days* leave per year (inclusive of bank holidays) and extra tenured holiday enabling team members to gain an additional day for every year you are with us (after the first 2 years) up to a maximum of 8.
Flexible working, including work-from-home
Modern, flexible and fully serviced offices at WeWork in Spitalfields, London
Company pension/retirement contributions
Health care including dental, medical, and vision* and to help you prioritise your wellbeing
Travel insurance
An array of social events and all company gatherings
Continuous learning and development.
A work environment that values creativity, personal growth and collaboration
Free monthly lunches
Laptop and virtual work equipment kit provided

Applicant Tracking System Keywords

Tip: use these terms in your resume and cover letter to boost ATS matches.

Hard Skills & Tools

PythonSQLAutoMLLarge Language Modelsdata analytics lifecycledata engineeringsoftware developmentsemantic data modellingInfrastructure as CodeSpark

Soft Skills

strong communicatorhighly organiseddetail-orientedreliable executionindependent workstream ownershippedagogical coachingmentoringcontinuous learningsimplifying complex ideasworking across multiple stakeholders