AI Developer, NewTech - KPMG Advisory Academy 2027

What if you could help companies transform their businesses using AI, machine learning and data? Joining KPMG as an AI Developer means you’ll be working with a variety of clients, applying the latest AI models and leveraging the power of data to optimize operations, enhance customer experience and predict future trends. Take on exciting challenges from day one and shape the future of AI.

About the role

As an AI Developer in NewTech, you will have the opportunity to develop solutions with the latest AI tools and work with real-world applications that create measurable business value. You will work with both classical machine learning and modern LLM-based solutions, helping clients transform data into intelligent automation and decision support. You will collaborate closely with consultants, data specialists and client stakeholders, gaining experience across the full lifecycle of AI solution development from experimentation to production-ready deployment.

In this role, you will have the opportunity to:

-
Develop and deploy machine learning and LLM-based applications that automate processes and extract insights from complex data.

-
Design and implement scalable AI solutions following best practices within MLOps, DevOps and DataOps.

-
Work with modern AI frameworks, tools and cloud platforms to build production-grade applications.

-
Collaborate with cross-functional teams to translate business needs into robust technical solutions.

-
Contribute to shaping how organizations adopt and scale AI capabilities.

Perks of joining NewTech

At KPMG NewTech, we work at the intersection of business, technology, and implementation. What makes our team different is that we do not only advise clients on transformation – we help design, build, and implement solutions together with them. Our projects combine emerging technologies, automation, AI, and organizational change, meaning you will collaborate closely with colleagues across business, and technical disciplines while helping clients turn ideas into practical solutions.

Our team brings together consultants, engineers, data scientists and developers who collaborate closely across projects. Working alongside both junior and senior colleagues, you will gain exposure to different perspectives and contribute to solving complex client challenges.

What sets NewTech apart is our practical focus on consulting by doing. From early on, you will be involved in shaping solutions, testing technologies, and working directly with clients to support adoption, and value realization. Many join NewTech because they want to work with emerging technologies while staying close to real business challenges, and enjoy working across strategy, implementation, and organizational transformation.

About you, our new team member

You enjoy working with people and building strong relationships with clients, colleagues, and cross-functional teams. You thrive in a collaborative environment where knowledge sharing, teamwork, and mutual support are valued. At the same time, you appreciate a positive and social workplace where professional excellence and having fun go hand in hand.

More specifically, we are looking for someone who:

-
Has solid technical skills in leveraging machine learning and LLM models, with a solid understanding of algorithms and data structures.

-
Has experience with frameworks such as Scikit-Learn, XGBoost, Hugging Face, LangChain, DataBricks, MLFlow, FastAPI, MCP or similar is key and you are skilled in optimizing models for performance, scalability and interpretability.

-
Is familiar with cloud platforms, data pipelines and version control using Git, allowing you to integrate models into production seamlessly.

-
Above all, you’re interested in AI’s transformative potential and are keen to stay at the cutting edge of a field that changes almost daily.

-
Communicates confidently and professionally in English, both verbally and in writing.

-
Holds or are expected to complete a relevant master's degree before Autumn 2027.

KPMG Advisory Academy

As part of your development, you will join the KPMG Advisory Academy, a 14-month development program designed to give you a solid foundation for your consulting career. Through a combination of professional training, personal development, networking opportunities, and practical client experience, you will build key consulting skills while expanding your network across KPMG Advisory.

Want to learn more about the KPMG Advisory Academy and how it supports your development from day one? Read more about the Advisory Academy here.

Are you ready to become part of KPMG? Send your application today!

The application deadline is 15 November, but we review applications on an ongoing basis and may close the process earlier - so we encourage you to apply as soon as possible. Interviews are expected to take place in November and December.

All we need from you is your CV, transcript, and a cover letter (a one-page document in which you answer the following three questions). How you choose to respond is entirely up to you - your answers will help us get to know you better and provide a basis for further discussion in a potential interview.

The questions are:

-
Describe a project (academic, personal, or professional) where you applied machine learning or AI to solve a real problem. What was the problem, what approach did you take and what did you learn?

-
Imagine you need to explain the value of a machine learning/ AI solution to a non-technical client. How would you do it?

-
Why are you interested in an AI Developer role at this stage of your career and what skills or areas are you most excited to develop?

If you have any questions or would like more information, please contact Mårten Waldmann Lauridsen mwaldmann@kpmg.com.

Please note that we do not accept applications by e-mail to ensure GDPR compliance.

At KPMG, we are committed to developing diverse talents at all levels. We encourage all interested candidates to apply, regardless of age, race, gender identity, sexual orientation, disability, religion, or ethnicity.

We can’t wait to hear from you!