Lead Data Scientist (Future Opening)
Hello, let’s meet!
Who We Are
While Xebia is a global tech company, our journey in CEE started with two Polish companies – PGS Software, known for world-class cloud and software solutions, and GetInData, a pioneer in Big Data. Today, we’re a team of 1,000+ experts delivering top-notch work across cloud, data, and software. And we’re just getting started.
What We Do
We work on projects that matter – and that make a difference. From fintech and e-commerce to aviation, logistics, media, and fashion, we help our clients build scalable platforms, data and AI solutions, and cutting-edge applications to shape the future of tech. Our clients include McLaren, Aviva, Deloitte, Spotify, Disney, ING, UPS, Tesco, Truecaller, AllSaints, Volotea, Schmitz Cargobull, Allegro, InPost, and many, many more.
We value smart tech, real ownership, and continuous growth. We use modern, open-source stacks, and we’re proud to be trusted partners of Databricks, dbt, Snowflake, Azure, GCP, and AWS. Fun fact: we were the first AWS Premier Partner in Poland!
Beyond Projects
What makes Xebia special? Our community. We support tech communities, organize meetups (Software Talks, Data Tech Talks), and have a culture that actively support your growth via Guilds, Labs, and personal development budgets — for both tech and soft skills. It’s not just a job. It’s a place to grow.
What sets us apart?
Our mindset. Our vibe. Our people. And while that’s hard to capture in text – come visit us and see for yourself.
You will be:
- designing and developing statistical models for property price adjustments across time, location, quality, and condition,
- building spatial algorithms (adaptive heatmaps, geographic clustering, polygon-based property search) to capture local market dynamics,
- implementing comparable property recommendation with feature engineering across different property types,
- developing market analysis pipelines with solid diagnostics: trend fitting, outlier detection, goodness-of-fit metrics,
- integrating LLM-based classification services for document and property analysis,
- exposing model outputs through production API endpoints and working with frontend engineers on data contracts,
- debugging models in production: edge cases, numerical issues, data quality problems.
Your profile:
- solid statistics background: regression, GAMs, mixed/random effects, link functions, robust estimation, outlier handling,
- proficiency in Python and the data science stack: NumPy, Pandas, statsmodels, SciPy, scikit-learn,
- experience building and maintaining production APIs with FastAPI and Pydantic,
- comfortable working with PostgreSQL and SQLAlchemy,
- familiar with containerized environments (Docker, Kubernetes, GCP),
- able to turn domain requirements into quantitative solutions and communicate trade-offs,
- good command of English (spoken and written),
- familiarity with basic statistical concepts (e.g., Bayes’ rule, linear regression, maximum likelihood estimation,
- practical experience using AI-powered assistants (e.g. Claude Code, GitHub Copilot, Cursor) to improve productivity, quality, or decision-making in software delivery.
Work from the European Union region and a work permit are required.
Nice to have:
- geospatial data and libraries (GeoPandas, Shapely, H3, GeoAlchemy2),
- GAM libraries (PyGAM), JAX, or TensorFlow Probability,
- task queues and async workflows (Celery, Redis),
- observability tooling (OpenTelemetry),
- ML pipeline frameworks (Kedro),
- data validation and property-based testing (Pandera, Hypothesis, TestContainers),
- R integration (rpy2),
- LLM integrations (Google Gemini or similar),
- frontend awareness (React, TypeScript),
- real estate data, valuation methodology, or appraisal workflows.
Recruitment Process:
CV review – HR call – Interview – Client Interview – Decision
As published by greenhouse
First Name, Last Name, Email, Phone, Resume/CV, Cover Letter
- Rate your proficiency in each of the following on a scale of 1 to 5: - API layer: FastAPI, Pydantic, Uvicorn - Data processing: Polars, Pandas, NumPy - Statistics & ML: statsmodels, SciPy, scikit-learn - Database: PostgreSQL, SQLAlchemy written answer
- LinkedIn Profile optional
- Website optional
- Where did you find this job? choose one
- What is your notice period? choose one
- What is your preferred form of cooperation? choose one
- What are your financial expectations?
- Please specify if the given salary is in net or gross value choose one
- Please specify if the salary expectation are provided hourly or monthly choose one
- Currency of the salary expectations choose one
- What country do you currently reside in? choose one
- Do you have documents entitling you to work in the European Union (valid work permits to work in the EU)? choose one
- Do you speak English at a minimum B2 level? choose one
- I declare that I agree to the processing of my Personal Data contained in the content of documents sent in response to the job/cooperation offer, and Personal Data collected during a possible recruitment interview, in order to participate in future recruitment processes conducted by the Administrator, i.e. Xebia sp. z o.o. with its registered office in Wrocław. choose one · optional
- I declare that I agree to sending to my e-mail address indicated in the content of recruitment documents, any information about recruitment processes conducted by the Administrator, i.e. Xebia sp. z o.o. with its registered office in Wrocław. choose one · optional
- The administrator of Personal Data is Xebia sp. z o.o. with its registered office in Wrocław, ul. Sucha 3, 50-086 Wrocław, KRS: 0000978067, NIP: 8971719181, REGON: 020363023 with a share capital of PLN 37 168 600.00. Your data contained in the CV will be processed only for recruitment purposes. The legal basis for the processing of your personal data is art. 221 cl. 1 of the Labour Code. If you provide separate consent, we will process your personal data also for future recruitment purposes. You have the right to access your personal data, to correct them, to remove them, to restrict their processing, to transfer your data, to submit an objection, to withdraw consent to data processing any time without affecting the lawfulness of processing carried out on the basis of the consent before it was withdrawn. In order to exercise the abovementioned rights, please send an e-mail with your request to: [email protected]. If you believe that your data are processed illegally, you can submit a complaint to the supervisory body with its registered office in ul. Stawki 2, Warsaw. We may only disclose your personal data if you provide consent thereto or to authorised bodies, when necessary. choose one · optional