About the job
Greetings! Let’s Connect!
About Us
Xebia is a leading global technology firm, with roots in Central and Eastern Europe originating from two esteemed Polish entities – PGS Software, renowned for delivering exceptional cloud and software solutions, and GetInData, a trailblazer in Big Data analytics. Currently, we boast a talented workforce of over 1,000 specialists dedicated to providing superior services across cloud, data, and software sectors. This is just the beginning of our exciting journey.
Our Mission
We engage in impactful projects that truly matter. Our portfolio spans various industries including fintech, e-commerce, aviation, logistics, media, and fashion, assisting clients in constructing scalable platforms, data-centric solutions, and innovative applications utilizing Machine Learning, Large Language Models, and Generative AI technologies. Our prestigious clientele includes Spotify, Disney, ING, UPS, Tesco, Truecaller, AllSaints, Volotea, Schmitz Cargobull, and Allegro, among others.
We prioritize cutting-edge technology, genuine ownership, and ongoing personal development. We leverage modern, open-source technology stacks and take pride in our partnerships with Databricks, dbt, Snowflake, Azure, GCP, and AWS. Fun fact: we were the first AWS Premier Partner in Poland!
Community Engagement
What makes Xebia unique? Our vibrant community. We host events such as the Data & AI Warsaw Summit, organize meetups (Software Talks, Data Tech Talks), and cultivate a culture that supports your growth through Guilds, Labs, and dedicated personal development budgets – for both technical and soft skills. It’s more than just a job; it’s a pathway to personal and professional growth.
What Distinguishes Us?
Our mindset. Our atmosphere. Our people. While it’s challenging to convey in text – we invite you to visit us and experience it firsthand.
Your Role:
Collaborating closely with business stakeholders to comprehend mortgage processes, decision rules, and exceptions.
Translating intricate business rules and domain knowledge into AI-driven or agent-based solutions.
Designing and refining decision logic, heuristics, and data-driven recommendations.
Utilizing historical data to enhance decision quality and consistency.
Cooperating with data engineering teams to ensure data availability, quality, and integration.
Contributing to the overall design of an AI-assisted solution utilized by mortgage analysts.

