Associate Instructor

Associate Instructor AI, Decision Science and Advanced Analytics

Location:

London Department:
Data Analytics and AI Salary :
Competitive consultant-level rates

Hours:

Flexible - Part time, Monday - Friday Contract Type :
Freelance Associate Instructor AI, Decision Science and Advanced Analytics We are seeking experienced practitioners in Artificial Intelligence, Data Analytics and Software Development to deliver impactful, real-world training to professionals across sectors. About Us We empower individuals and organisations through advanced IT, AI and Leadership training. With over 50 years of experience and more than 65,000 global clients, we focus on practical skills, hands-on learning and industry-led expertise that drive meaningful, future-ready capabilities.

About the Role As an Associate Instructor, you will draw on deep technical and consulting expertise to deliver high-quality engaging training, virtually or in-person to support our customers develop and deploy AI-driven models and simulations to support decision making across areas such as: AI-driven decision support and data modelling Software engineering and system development Multi-criteria decision frameworks and analytical mythologies Design and delivery of real-world applied solutions You will bring real practitioner insight to your delivery, grounded in extensive experience in software development, analytics, strategic consulting and complex system engineering.

Key Responsibilities Deliver engaging, interactive training sessions based on real project experience Translate complex analytical and AI concepts into clear, practical learning Demonstrate modelling approaches such as:
System dynamics Multi-criteria decision analysis Confrontation analysis Statistical and data-driven forecasting Provide expert insight into enterprise software workflows, from architecture to deployment Support clients in applying decision-science tools to real organisational challenges Partner closely with the Client Solution Team to drive client-focused engagement, shaping deal strategy and developing tailored, value-led solutions and programme architectures that directly support the sales process and strengthen our competitive position Requirements Degree in Artificial Intelligence, Operational Research or related field Extensive professional experience across: AI, data science and analytics Software design and full lifecycle development (.NET,

Python, Azure, REST) Data modelling, Simulation and mathematical methods Enterprise consulting across public and private sector Proven experience delivering complex project such as:
Decision-support systems High-integrity financial, statistical or reporting applications Large-scale modelling or simulation tools Ability to communicate advance concepts to mixed technical audiences Strong background in applied problem-solving, modelling and system architecture

What We Offer Flexible schedule:
Teach 414 weeks/year Competitive consultant-level rates Remote and in-person delivery with occasional travel Free access to Learning Tree training resources Our Process We are committed to engaging only the best industry professionals, so we have a process that will ensure you can be successful as an Associate Instructor. Youll demonstrate your expertise, meet virtually with a Lead Learning Tree Consultant, and attend a 2-day workshop to learn our methodology and showcase your delivery style.

Our Commitment to Inclusion We are dedicated to cultivating a workplace that champions diversity and exclusivity, striving to create an environment where every individual is not only valued but also empowered to embrace their authentic selves. At our core, we recognise the unique contributions that Instructors like you bring to Learning Tree, and we firmly believe that these differences are integral to shaping the distinctive identity of our organisation.

Collaboration is at the heart of this role, as you will also actively support our sales team by contributing to client briefs, course outlines and course developments. Our consultants are critical to business success by driving the completion of learner evaluations and identifying and referring opportunities for improvement.

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