At a Glance
- Tasks: Join a dynamic team to tackle real-world AI challenges and innovate solutions.
- Company: EX3, a forward-thinking consultancy focused on AI and continuous learning.
- Benefits: Competitive salary, performance bonuses, and sponsored certifications for your growth.
- Other info: Collaborative culture with clear pathways for career advancement.
- Why this job: Shape the future of AI while gaining hands-on experience with industry experts.
- Qualifications: 2:1 degree in relevant fields; passion for AI and eagerness to learn.
The predicted salary is between 81000 - 99000 £ per year.
Programme Team EX3 AI Labs
Location: Hybrid - Client Sites & EX3 Offices
Duration: 2-Year Structured Graduate Programme
Start Date: Rolling intake - September & January cohorts
Reports To: Head of AI Labs
About EX3
At EX3, we partner with clients to Envision, Execute, and Excel. As a consultancy built on deep industry expertise, a consultative mindset, and a culture of continuous learning, we live by our mission: Your Vision is Our Mission. We foster a culture of continuous learning and professional growth, empowering our team with the expertise to deliver exceptional outcomes. If you're passionate about making a meaningful impact and growing in a supportive, high-performing environment, EX3 is the place for you. We are driven by our core values: we are trusted, solution-focused, accountable, innovative, and always client-first.
The Opportunity
EX3 AI Labs is our dedicated research, innovation, and delivery engine for artificial intelligence. We work at the intersection of AI advisory, product development, and applied machine learning, helping clients across industries harness the full potential of AI, responsibly and at scale. This is not a traditional graduate role. The EX3 AI Labs Graduate Programme is designed for ambitious individuals who want to shape the future of AI, not just observe it. From day one, you will work alongside experienced AI practitioners, data scientists, and technology strategists on real client engagements and internal innovation projects. You will rotate across three core practice areas over two years, building deep expertise in the disciplines that define modern AI delivery:
- Software Development
Key Responsibilities
- AI Advisory & Strategy
- Work closely with our AI Advisory team to support the design and delivery of AI readiness assessments and transformation roadmaps for enterprise clients.
- Contribute to client workshops, discovery sessions, and stakeholder presentations on AI strategy and use case identification.
- Research emerging AI trends, frameworks, and regulations to inform advisory outputs and thought leadership.
- Assist in developing business cases for AI adoption, including ROI modelling and risk assessments.
- Machine Learning & AI Engineering
- Translate client and end-user requirements into functional AI product specifications.
- Develop, train, and evaluate machine learning models using modern frameworks and cloud platforms.
- Write clean, well-documented code (Python, SQL, and relevant ML libraries) for data pipelines, model training, and inference.
- Support the deployment and monitoring of ML models in production environments.
- Conduct exploratory data analysis, feature engineering, and model performance benchmarking.
- Software Development Lifecycle
- Contribute to EX3 AI Labs' internal innovation pipeline - from ideation through to proof-of-concept.
- Develop software wireframes for lifecycle and client projects.
- Build frontend (Typescript/ React) and backend solutions.
- Work within cloud platforms such as Azure to host web applications.
- Produce internal research notes, innovation briefs, and demo outputs for AI Labs showcases.
Who We're Looking For
Academic Background: You will hold, or be on track to achieve, a 2:1 or above in a relevant degree discipline. We welcome applications from graduates or those pursuing a master's course across a broad range of fields, including:
- Computer Science, Software Engineering, or Artificial Intelligence
- Mathematics, Statistics, or Data Science
Technical Skills & Experience: We don't expect you to arrive as an expert - but we do expect genuine curiosity and a foundation to build on. Ideal candidates will demonstrate some of the following:
- Understanding of core ML concepts: supervised/unsupervised learning, model evaluation, overfitting, bias.
- Experience with data manipulation tools: Pandas, NumPy, SQL.
- Exposure to cloud platforms (AWS, Azure, GCP) or AI-specific services (OpenAI, Vertex AI, Bedrock).
- Familiarity with version control (Git) and software development best practices.
- Any experience building personal AI projects, Kaggle competition participation, or research publications is a strong advantage.
Interests & Mindset: Technical ability alone is not what sets EX3 graduates apart. We are looking for individuals who bring:
- A genuine passion for AI and its real-world applications - you read, experiment, and stay current.
- Intellectual curiosity and the ability to learn fast in a fast-moving field.
- Strong communication skills - the ability to explain complex AI concepts to non-technical audiences.
- A client-first mindset - empathy for end users and a drive to deliver tangible outcomes.
- Collaborative spirit - comfortable working in cross-functional teams and contributing to a shared mission.
- Ambition and accountability - you take ownership, ask questions, and push boundaries.
- An ethical lens - awareness of AI risks, fairness, transparency, and responsible deployment.
What to Expect From the Programme
Year One - Foundation & Exposure:
- Three rotations across AI Advisory, ML Engineering, and Software Development Lifecycle labs.
- Structured onboarding including EX3 AI Labs induction, tooling setup, and methodology training.
- Assigned a senior mentor from day one - regular 1:1 coaching and career guidance.
- Access to the EX3 Learning Platform and sponsored certifications (AWS, GCP, Azure AI, or equivalent).
- Contribution to at least one live client project within the first 90 days.
Year Two - Specialism & Ownership:
- Elect a primary practice specialism based on Year One performance and personal interests.
- Lead delivery workstreams on client-facing AI engagements under senior supervision.
- Develop and present an innovation project as part of the EX3 AI Labs showcase.
- Contribute to business development by supporting proposals, demonstrations, and thought leadership.
- Complete a structured performance review with a pathway to a permanent role at EX3.
Performance Expectations: Graduates at EX3 are held to the same values and standards as the wider team. You will be evaluated against the following dimensions:
- Technical Growth: Demonstrable progression in AI/ML skills, certifications achieved, and quality of technical output.
- Client Impact: Quality of client-facing work, feedback received, and contribution to positive outcomes.
- Effectiveness as a team member: reliability, communication, and how you uplift others.
- Volume and quality of ideas contributed: experiments run, and initiative shown.
- Professional Development: Engagement with learning, mentorship, and readiness for greater responsibility.
EX3 Values Alignment: Living the values: Trusted, Client-First, Innovative, Accountable, Solution-Focused.
Why EX3 AI Labs:
- Work on real, complex AI challenges - not sandboxed graduate projects.
- A team that combines deep technology expertise with genuine advisory experience.
- A culture of innovation - we experiment, we fail fast, and we improve.
- Direct access to clients across industries including financial services, retail, healthcare, and the public sector.
- A clear and transparent pathway from graduate to consultant to senior roles.
- Competitive graduate salary, performance bonus, and sponsored learning budget.
- A collaborative, inclusive environment where your voice is heard from day one.
All candidates must have the right to work in the UK for the entire duration of the graduate scheme.
Junior AI Consultant (Graduate Scheme) employer: EX3
At EX3, we pride ourselves on being an exceptional employer that champions continuous learning and professional growth. Our hybrid work culture fosters collaboration and innovation, allowing you to engage with real client projects from day one while receiving mentorship and access to cutting-edge resources. With a competitive salary, performance bonuses, and a clear pathway for career advancement, joining EX3 AI Labs means becoming part of a dynamic team dedicated to shaping the future of AI in a supportive environment.
StudySmarter Expert Advice🤫
We think this is how you could land Junior AI Consultant (Graduate Scheme)
✨Get in on the Data Science Meetups
Data science is all about community! Join local meetups or workshops related to data science and analytics. It's a fab way to network with industry professionals, learn about the latest trends, and maybe even snag a lead on an upcoming opportunity at companies like EX3.
✨Show Off Your Projects
As a trainee, showcasing your skills is key. Start a GitHub repository with your projects or analytics problems you've solved. Share them on platforms like Kaggle, and make sure to link them on your LinkedIn. Potential employers, including EX3, love seeing hands-on experience!
✨Connect with Alumni
Tap into your university's alumni network! Reach out to past graduates who are working in data science roles and see if they'd be willing to chat. They often have great insights into internship openings and can even refer you internally, increasing your chances with companies like EX3.
✨Find Internships through Portals and Workshops
Keep an eye out for career fairs and workshops specifically targeting data science roles. Many companies, including EX3, often scout for trainee talent at these events. Plus, applying directly through job portals and company websites can give you an edge!
We think you need these skills to ace Junior AI Consultant (Graduate Scheme)
Some tips for your application 🫡
Show Off Your Data Skills:Make sure to highlight your data-related skills clearly in your CV. If you've worked on any projects using Python or R, be sure to mention them. Also, if you've dabbled in machine learning, include that too—employers love a hands-on learner!
Include Relevant Projects:Since this is a trainee position, listing your university projects or any personal data science projects can really impress. Attach a GitHub link if possible, so EX3 can see your code and your thought process. Practical experience, even if it's academic, can set you apart!
Personalise Your Cover Letter:Use your cover letter to show how passionate you are about data science. Describe why you're excited about the opportunity at EX3 and how the role aligns with your career goals in this dynamic field. We want to see your enthusiasm and potential to grow.
Tailor Your CV for Trainees:Since you’re applying for a trainee position, focus on academic achievements and any relevant coursework in your CV. Don’t sweat the lack of professional experience—your ability to learn and adapt is what counts. Also, make sure to align your CV format with data science norms; keep it clear and concise!
How to prepare for a job interview at EX3
✨Show Off Your Data Skills
Make sure you're ready to chat about the tools we use in data science, like Python, R, or SQL. Brush up on key concepts like data cleaning, analysis, and visualisation — interviewers often delve into these areas to see how you think and approach problems.
✨Prepare for Practical Assessments
Don't be surprised if you're given a case study or data set to analyse during the interview. We should be prepared to demonstrate how we interpret and present data findings — it's a chance to show off our analytical thinking in real time!
✨Highlight Your Passion for Learning
As a trainee, it’s all about showing your enthusiasm for data science! Share any personal projects, online courses, or relevant experiences. This tells EX3 that we’re eager to grow and develop our skills in this exciting field.
✨Ask Insightful Questions
Use this opportunity to find out more about the team’s projects and tools. Questions like ‘What data challenges are you currently facing?’ can demonstrate our interest while also helping us understand how we might fit into EX3’s culture and workflow.
