The opportunity

Join a multidisciplinary data and AI team that builds solutions for organisations across many industries. You'll work with data scientists, data and software engineers, designers and business experts to help organisations make better decisions and improve performance. This role is based in Budapest, hybrid, and involves frequent business travel.

The role

You'll work on complex and varied datasets. You'll build high-quality data science products and solutions, focusing on modelling, and you'll present your findings and recommendations to both external and internal stakeholders. You'll also build reusable assets for internal data teams.

What you'll do

Model: develop machine learning and analytical models that solve real business problems.
Deliver: build large-scale data and analytics solutions, from data preparation to production.
Advise: present findings and recommendations to stakeholders and help them act on the results.
Grow: learn best practices in data and analytics development, including code quality, data security, scalability and sustainability, and keep up with generative and agentic AI.

What you bring

Must-haves

Master's degree in mathematics, statistics, economics or econometrics, machine learning, data science, physics, computer science or engineering
Up to 2 years of professional, hands-on experience applying advanced data science methods and building technical data solutions, such as machine learning models
A strong grasp of the analytics landscape, including business intelligence, machine learning, AI and generative AI, and how to apply each in different scenarios
Proficiency in Python and SQL for data and analytics applications
Professional experience with cloud-based analytical tools from providers such as AWS, Azure or Google Cloud
Effective communication and presentation skills, including explaining complex analytical concepts to non-technical audiences such as business managers and product or marketing leads
Business-level fluency in English and Hungarian, both written and spoken
Willingness to travel frequently for client work

Nice to have

Practical experience developing generative or agentic AI applications
Experience with advisory work
A track record of leadership, at work or through extracurricular activities

Our toolkit: We choose the right tools for each task and each project's landscape. Often we use Python, PySpark, Databricks, SQL, Docker and Kubernetes, and we work regularly with AWS, GCP and Azure.

What we offer

A learning culture with structured development programmes, coaching and clear, actionable feedback
Real ownership from day one: your ideas and contributions will shape what gets built
An international, multicultural team
A competitive salary based on your location, experience and skills, plus a comprehensive benefits package for you and your family