At a Glance
- Tasks: Deliver engaging training on AI and analytics to professionals across various sectors.
- Company: Empowering individuals with over 50 years of experience in IT and AI training.
- Benefits: Flexible schedule, competitive rates, remote work, and free training resources.
- Other info: Join a diverse team committed to inclusion and collaboration.
- Why this job: Make a real impact by sharing your expertise in AI and decision science.
- Qualifications: Degree in AI or related field with extensive industry experience.
The predicted salary is between 60000 - 80000 £ per year.
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 methodologies
- 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 projects such as:
- Decision-support systems
- High-integrity financial, statistical or reporting applications
- Large-scale modelling or simulation tools
- Ability to communicate advanced concepts to mixed technical audiences
- Strong background in applied problem-solving, modelling and system architecture
What We Offer:
- Flexible schedule: Teach 4–14+ 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. You’ll 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.
Associate Instructor – AI, Decision Science and Advanced Analytics in London employer: Instructor Recruitment
At Learning Tree, we pride ourselves on being an exceptional employer that values the expertise of our Associate Instructors in AI and Decision Science. With a commitment to flexible schedules, competitive rates, and a culture that champions diversity and collaboration, we empower our instructors to deliver impactful training while fostering their professional growth. Our unique blend of remote and in-person delivery options, along with access to extensive training resources, ensures that you can thrive in a supportive environment dedicated to real-world learning and development.
StudySmarter Expert Advice🤫
We think this is how you could land Associate Instructor – AI, Decision Science and Advanced Analytics in London
✨Showcase Your Skills with a Public Portfolio
As a freelancer in data science, having a killer portfolio is essential. Showcase your projects on platforms like GitHub or create a personal website that details your work and techniques. This gives potential clients a clear picture of what you can do and helps you stand out from the competition.
✨Get Involved in Data Science Communities
Tap into online forums like Kaggle or Stack Overflow. Not only can you showcase your expertise, but you can also connect with other data scientists and potential clients. Plus, participating in competitions and discussions can elevate your profile in the field.
✨Leverage Local Networking Opportunities
Keep an eye out for local data science meetups or tech events in your area. These are golden opportunities to meet potential clients and collaborators face-to-face. Plus, who doesn't love a bit of networking over pizza and drinks?
✨Pitch Your Services Directly to Companies
Don't just wait for freelancing platforms to bring clients to you—be proactive! Research companies that could benefit from data science services and craft tailored pitches. Mention specific pain points you can address for them. Let’s get that freelance hustle going!
We think you need these skills to ace Associate Instructor – AI, Decision Science and Advanced Analytics in London
Some tips for your application 🫡
Showcase Your Projects:When applying for a freelance data science role like Associate Instructor – AI, Decision Science and Advanced Analytics at Instructor Recruitment, it’s crucial to highlight your projects. Include a portfolio that features at least two or three projects involving data analysis, machine learning, or visualisation. Make sure to describe the tools and methodologies you used, so we can see your skills in action!
Quantify Your Achievements:Freelance gigs, especially in data science, often ask for proven results. In your CV, include any relevant metrics or outcomes from your previous work. Did your analysis help reduce costs by a certain percentage? Or did your predictive model improve performance? Numbers speak volumes!
Introduce Your Style:Since freelancing is all about your individual style and approach, use your cover letter to share how you tackle data problems. This is your chance to let us know how you think, your creative problem-solving methods, and how you would approach a project at Instructor Recruitment.
Be Real About Your Rates:When you send in your application, don’t forget to mention your freelance rates and availability. We appreciate clarity up front, and it helps us gauge if you fit within our budget and timeline. Being transparent in this aspect shows professionalism and readiness!
How to prepare for a job interview at Instructor Recruitment
✨Show Off Your Data Wizardry
As a freelancer in data science, you'll want to present a portfolio that showcases your best projects. We should pull together examples where you tackled real problems with data analytics, machine learning models, or visualisations. It's all about demonstrating your skills in action!
✨Be Ready to Dive Deep into Technical Questions
Expect to encounter some technical grilling during the interview. Prepare to discuss statistical methods, algorithms, or maybe even tackle a live coding challenge. We should brush up on tools like Python, R, or SQL—those are key players in the data science field. Don't just know them; be ready to explain your thought process!
✨Help Them Understand Your Work Style
Freelance gigs often mean you'll be working independently, so we need to convey our self-motivation and time management skills. Be prepared to talk about how you’ve handled multiple projects or met tight deadlines before. Sharing your approach to client communication can also give them confidence in your ability to deliver remotely.
✨Pitch Your Value Proposition
When freelancing, it’s crucial to clearly articulate what makes you unique. We should highlight not just technical skills but also the business impact of our projects. Think of a couple of stories where your data insights drove decision-making—this can be a game changer in showing why they should choose you for their freelance needs!
