Über unsBei VREY bauen wir das EnergyOS für Mehrfamilienhäuser.In Deutschland stehen über 3,3 Millionen Mehrparteienhäuser – und sie sind da…
Data Science Engineer
London 2-3 days
Join a newly established R&D function building data-driven and AI-enabled products. This is a hands-on role for someone who enjoys combining Data Science and Data Engineering to create scalable data solutions with real business impact.
The Company
They are investing heavily in data and AI, with a small multidisciplinary team focused on building analytical products from concept through to production. You'll work in a collaborative environment with plenty of ownership and exposure to cutting-edge technologies.
The Role
Build scalable data pipelines using Microsoft Fabric and Databricks
Develop machine learning solutions across forecasting, anomaly detection, recommendation systems, and information extraction
Work with structured, semi-structured, and document-heavy datasets
Create reusable data assets and analytical products
Contribute to testing, APIs, CI/CD, and production deployments
Partner with stakeholders to solve business challenges through data
Your Skills & Experience
Strong experience across both Data Science and Data Engineering
Hands-on expertise with Microsoft Fabric and Databricks
Advanced Python and SQL skills, with PySpark desirable
Experience building data pipelines and machine learning models
Knowledge of NLP, entity resolution, or document processing is advantageous
Strong communication skills and commercial awareness
Neutral 2–4 sentence summary of what working at this company is like, drawn from public reviews and press coverage. Tone, collaboration style, pace, benefits highlights.
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