At a Glance
- Tasks: Create AI prototypes and solutions that drive real business impact.
- Company: Join Oliver Wyman, a leader in innovative consulting.
- Benefits: Enjoy hybrid work, growth opportunities, and a culture of inclusion.
- Other info: Collaborate with diverse teams in a dynamic, fast-paced environment.
- Why this job: Be at the forefront of AI technology and transform ideas into reality.
- Qualifications: Fluency in Python and experience with AI/ML solutions required.
The predicted salary is between 65250 - 79750 £ per year.
Overview
As an AI Engineer in the WAVE team, you turn briefs into usable AI-enabled prototypes and production-ready solutions, with a focus on agents, LLMs, and practical ML.
You work across software, data science, and AI delivery to build reusable, scalable outputs that support business development and project execution.
This role blends hands-on implementation with cross-functional collaboration to move ideas from experiment to impact.
You’ll join a mission to accelerate AI-enabled consulting delivery and create tangible enterprise value.
- Pay / Benefits
- hybrid work
- inclusion and belonging
- learning and growth opportunities
- pilot to scale exposure
- performance and sustainability
- collaboration and mutual respect
Responsibilities
- Build AI agent and LLM-based solutions to support business development and project delivery
- Develop traditional ML models where appropriate to the problem
- Prototype delivery formats (agents, avatars, visual formats) to reduce dependence on slides and meetings
- Design with reuse and scale in mind, coordinating with Quotient Inside for productization
- Translate business needs into technical execution with the Technical Business Partner
- Collaborate with Platform/Infrastructure Engineering for reliable deployment
- Pair with Front-end / AI Content Creator on client-facing outputs
- Join client discussions to demonstrate technical credibility
- Help the team move quickly from experiments to delivery while maintaining quality
- Key requirements
- Fluency in Python and modern AI/ML tooling across the build lifecycle
- Hands-on experience shipping LLM-based or ML solutions under time pressure
- For data-science-leaning track: strong math grounding (statistics, linear algebra) and modelling techniques
- For software-engineering-leaning track: solid engineering practices including testing, code hygiene, deployment
- Ability to make practical design decisions quickly and maintain momentum
- Experience building production-ready solutions, not just experiments
- Full professional English; Spanish welcome
- pragmatic, ship-it mindset
- clear communication
- collaboration across multi-disciplinary teams
- Python
- AI/ML tooling
- LLM-based solutions
Oliver Wyman – AI Engineer (m/f/d) – Quotient AI Specialist – Madrid / London employer: Oliver Wyman Group
Oliver Wyman is an exceptional employer, offering a dynamic and inclusive work culture that prioritises collaboration and continuous learning. As a Learning Product Manager based in London, you will have the opportunity to shape high-impact learning experiences for senior consulting talent while enjoying competitive compensation, comprehensive benefits, and a flexible hybrid working policy that supports work-life balance. With a strong commitment to employee growth and development, Oliver Wyman empowers its team members to thrive and make a meaningful impact in their careers.
StudySmarter Expert Advice🤫
We think this is how you could land Oliver Wyman – AI Engineer (m/f/d) – Quotient AI Specialist – Madrid / London
✨Join Local Tech Meetups
Get out there and mingle with fellow developers by joining local tech meetups. It’s a fantastic way to meet people who might be working at Oliver Wyman Group or know someone who does. Plus, you can pick up some trendy tech skills and trends while you're at it!
✨Contribute to Open Source Projects
Show off your coding chops by jumping into open-source projects. Not only does this give you practical experience, but it also gets you noticed in the dev community. You'll create a killer portfolio that speaks volumes about your skills to Oliver Wyman Group.
✨Tap into Online Developer Communities
Don’t underestimate the power of online developer communities like GitHub, Stack Overflow, and even Reddit. Participate in discussions, share your projects, and build your visibility. We can often find opportunities through these channels that can lead to a full-time gig at companies like Oliver Wyman Group.
✨Explore Job Boards Specifically for Tech Roles
Keep your eyes peeled on job boards that focus on tech roles. Sites like TechCareers or Stack Overflow Jobs can often have listings for companies like Oliver Wyman Group that might not show up on broader job sites. Make it a habit to check these regularly, and don’t hesitate to apply directly through our website!
We think you need these skills to ace Oliver Wyman – AI Engineer (m/f/d) – Quotient AI Specialist – Madrid / London
Some tips for your application 🫡
Show off your coding skills:When applying for a software engineering role, it's super important to showcase your coding skills. Make sure your CV includes your tech stack, any relevant programming languages you’re comfortable with, and examples of projects you've worked on. If you have a GitHub profile, link it up! We love to see code in action.
Tailor your portfolio:For a full-time role, we’d expect to see some solid examples of your work in your portfolio. Make sure to include at least two or three projects that highlight your problem-solving skills and your ability to work with different technologies. Focus on the projects that are most relevant to the position at Oliver Wyman Group.
Craft a killer cover letter:Your cover letter is your chance to stand out—make it personal! Explain why you want to work at Oliver Wyman Group and how your skills align with the role. Show us your passion for software development. We dig enthusiastic candidates who understand the value of collaboration and continuous learning!
Be clear and concise:When it comes to writing your CV and cover letter, clarity is key. Avoid jargon that could confuse us and stick to simple, direct language. Highlight your achievements with quantifiable results where possible, and keep everything easy to read. A well-organised application goes a long way!
How to prepare for a job interview at Oliver Wyman Group
✨Brush Up on Your Coding Skills
For a full-time software engineering role, it's crucial that we stay sharp with our coding abilities. Expect technical questions that might involve solving problems on the spot or discussing algorithms. Practise on platforms like LeetCode or HackerRank to get comfortable with the types of questions that often come up.
✨Know Your Tools and Frameworks
Make sure we’re well-acquainted with the tools and technologies listed in the job description. Familiarise ourselves with any specific frameworks or programming languages mentioned. If Oliver Wyman Group uses React or Node.js, for instance, be ready to discuss how we’ve used them in previous projects or coursework.
✨Showcase Your Projects
Bring along a portfolio that highlights our best work. This could be code samples, GitHub repositories, or any side projects we’ve built. Make sure we can talk through our thought process for each project, especially the challenges we faced and how we solved them—this shows our problem-solving skills in action.
✨Prepare for Behavioural Questions
While technical skills are key, full-time positions also require cultural fit. Be ready to discuss our previous experiences and how we handle teamwork, conflict, and deadlines. Brush up on the STAR method—Situation, Task, Action, Result—to clearly articulate our past experiences when discussing how we've contributed to a team.
