At a Glance
- Tasks: Join client projects and transform processes with AI from day one.
- Company: Resonance, a leading Applied AI company with a collaborative culture.
- Benefits: Exceptional compensation, steep career trajectory, and comprehensive training.
- Other info: Be part of our first graduate cohort in London or Berlin.
- Why this job: Work at the forefront of AI and solve real-world problems that matter.
- Qualifications: Degree in a technical field and a passion for AI.
The predicted salary is between 63000 - 77000 £ per year.
Resonance is an Applied AI company, founded by a team of seasoned operators and engineers from Europe's leading software investor and a leading AI consultancy. Collectively we've shipped 30+ AI products, embedded AI into 50+ businesses and created $250m of value for them.
We are looking for graduates to join Resonance as AI Transformation Leads. You will work on client projects from your first month, alongside Senior AI Transformation Leads and AI engineers, doing the analysis and hands-on work that turns a redesigned process into AI running in production. You’ll join our first graduate cohort in London or Berlin.
What you’ll do
- Support the engagement: Work with client managers and operational teams, supporting the Senior AI Transformation Lead who runs the project. Map how key processes really run, gather the data and find where AI changes the economics.
- Build and test: Build the analysis behind the business case, and track what each build delivers once it goes live. Prototype new workflows yourself with the latest AI tools, working side by side with AI engineers.
- Grow at pace: Coaching from senior transformation leads and the founding team. Take on more ownership as you grow, and help shape our company as a key member of our team.
Your first year
- Training: Comprehensive training when you join, covering AI, how we run client projects and the industries we work in.
- Your first project: On a client team from your first month, with a Senior AI Transformation Lead who coaches you.
- Progression: You'll start as a Junior Transformation Lead and typically become a Transformation Lead within 18-24 months.
How we work
- A small team: You'll know everyone by name, founders included, and work closely with people across London and Berlin.
- Questions welcome: Nobody expects you to know it all when you start. Asking for help early is part of the job, and senior people make time for it.
- Low ego, high standards: We set a high bar and help each other reach it. Credit is shared, and mistakes are something we learn from together.
- Time together: Three days a week in the office means you learn by working next to people, not just over video calls.
Who you are
- Mindset: You take the initiative: you start things without being asked and see them through. You're obsessed with AI and try new models and tools the day they come out. New problems and new domains give you energy, and you like solving them with other people. You learn fast and go looking for hard problems.
- Background: You're finishing a degree or have already completed one. You likely studied a technical or quantitative subject. You can show what you're capable of through your grades, competitions, internships, societies or things you've built. You structure complex problems quickly and back your arguments with data.
- AI fluency: You use AI every day and have built something with it: a workflow, an agent or a tool. You pick up new tools rapidly and show others how to use them.
- Working with people: You're comfortable working with people at every level, from managers to the operators who do the work. You listen well, ask sharp questions and act on feedback quickly.
- Nice to have: An internship in consulting, PE, banking or a high-growth startup. German for Berlin roles. English is our working language.
Why Resonance
- Work at the AI frontier: We have investment from a leading frontier lab and some of the most influential leaders in the AI ecosystem; you'll be pushed every day to keep pace with the AI platform shift.
- Solve hard problems with real stakes: Your work will drive tangible outcomes for consequential companies and change the way people and companies operate at scale.
- Learn fast: You'll learn alongside operators and engineers who have embedded AI into 50+ businesses.
- Work with the best: Our aim is to build one of the most talent-dense teams in Europe and worldwide; we're seeking out the top 0.1% of operators and engineers to be part of our mission.
- Close Europe's gap: Europe is falling behind on AI. Every build moves another European business to the right side of the productivity gap.
- Build the firm: Join our first graduate cohort and shape how we train, deliver and grow.
- Top of market compensation: We offer exceptional compensation, with a steep career trajectory and exceptional benefits.
Location and logistics
- Location: London or Berlin. Three days a week in the office or on client sites.
- Travel: Expect 25-50% of your time at clients, mostly in the UK and Europe.
- Right to work: We can sponsor visas for eligible candidates.
- Start date: Summer 2027 (dates tbc).
- Internships: Summer 2027 internships for students in the penultimate year of their degree.
Resonance is an equal opportunity employer. We welcome applications regardless of age, disability, gender reassignment, marriage or civil partnership, pregnancy or maternity, race, religion or belief, sex or sexual orientation. If you need adjustments at any stage, tell us and we'll make them.
Graduate AI Transformation Lead in London employer: targetjobs UK
Bloomberg is an exceptional employer, offering a dynamic work environment in London where you can develop your skills in analytics and sales while providing unparalleled customer support to clients across the globe. With a strong emphasis on employee growth, our comprehensive training program equips you with the knowledge needed to excel in the financial markets, while opportunities for career advancement abound within the company. Join us to be part of a culture that values innovation, collaboration, and a commitment to delivering outstanding service.
StudySmarter Expert Advice🤫
We think this is how you could land Graduate AI Transformation Lead in London
✨Join Data-Science Meetups
Get yourself along to local data-science meetups or workshops. They're goldmines for networking, and you'll learn from industry pros who might just point you in the direction of internships. Plus, discussing the latest trends with like-minded individuals can really amp up your game.
✨Utilise University Career Services
Check in with your uni's career services since they often have connections with companies looking for interns. They might even organise information sessions with firms, which can be a great chance for you to learn more about potential internships and make some key contacts.
✨Show Off Your Stuff on GitHub
If you're into data science, having a GitHub profile with your projects is essential. Make sure your portfolio is public and showcases your best work! Recruiters love to see your coding skills and problem-solving approach, and it’s a brilliant way to stand out.
✨Apply Directly on Our Website
Don’t forget to check out the internships listed on our site! It's always a good idea to apply directly through our website because it makes your application easier for our team to find, and you might just catch the hiring manager’s eye by showcasing exactly what you're passionate about in data science.
We think you need these skills to ace Graduate AI Transformation Lead in London
Some tips for your application 🫡
Show Off Your Technical Skills:For a data science internship, we want to see those analytical skills shine! List your programming languages, like Python or R, and make sure to highlight any relevant projects or courses you've completed. If you've dabbled with tools like Pandas, NumPy, or machine learning algorithms, don’t hold back – include those in your CV!
Share Your Curiosity in Your Cover Letter:As an intern, your motivation and eagerness to learn are key! In your cover letter, talk about specific data science concepts that excite you and how this internship at targetjobs UK will help you grow. Share what you hope to achieve and how you plan to tackle real-world data problems - we love enthusiasm!
Include Any Relevant Certifications:If you've earned any certifications, such as from Coursera or DataCamp, make sure to include these in your application. They show us that you're proactive and committed to expanding your data science skillset. This could make a real difference in how we assess your application!
Keep It Relevant and Concise:Remember, as an intern, you don’t need to have decades of experience. Focus on showcasing relevant coursework, personal projects, or even related volunteer work in data science. Keep your CV and cover letter concise but impactful – we appreciate clear and straightforward communication!
How to prepare for a job interview at targetjobs UK
✨Brush Up on Your Coding Skills
As a data science intern, you might get grilled on your programming skills. Expect to tackle some coding challenges using languages like Python or R. We recommend practising basic algorithms or data manipulation tasks so you can show off your tech skills with confidence.
✨Show Off Your Projects
Prepare to discuss any projects you’ve done, whether in your studies or on your own time. Having a strong portfolio of data analyses or machine learning models will really set you apart. We can use platforms like GitHub to showcase your work to impress targetjobs UK.
✨Know Your Stats and ML Basics
Brush up on your statistics and machine learning concepts because interviewers love to dig into this! Be ready to explain your understanding of algorithms or how you would approach a given data problem. This will highlight your theoretical background alongside your practical skills.
✨Be Eager to Learn and Adapt
Internships are all about potential and growth. Make sure you convey your eagerness to learn and adapt to new tools or methodologies. Show targetjobs UK that you’re not just looking for experience, but that you're keen to contribute and grow within the team.
