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Zego

Property management platform for resident experience

Data Scientist

Applied Machine LearningConfirmed live in the last 24 hours
Full-timeLondon, UK

About the Job

Requirements

  • MSc or BSc in a relevant field such as Computer Science, Engineering, Physics, or Statistics, or equivalent practical experience.
  • Hands-on experience developing data science or data engineering solutions, including writing production-grade code.
  • Solid skills in Python and SQL, including standard libraries such as Polars, SciPy, NumPy, and scikit-learn.
  • Experience building or maintaining reliable and maintainable data pipelines and tools.
  • Ability to break down problems into testable hypotheses and collaborate within multidisciplinary teams.

Responsibilities

  • Build and refine behavioural features and factors from telematics data.
  • Develop and maintain end-to-end pipelines in Python and SQL, ranging from simple heuristics to complex machine learning models.
  • Build robust solutions that scale, whether rule-based or machine-learning-driven.
  • Collaborate with Software Engineers, Data Scientists, and Product Managers to implement features and evaluate their impact.
  • Run experiments, test new ideas, and assist in automating insight generation.
  • Translate complex sensor data into clear insights that can shape the roadmap and product.

Desired Qualifications

  • Exposure to noisy, high-frequency, or time-series sensor data, such as GPS or accelerometer data.
  • Familiarity with digital signal processing or sensor physics principles.
  • Familiarity with cloud platforms such as AWS and tools like Docker or basic pipeline orchestration.
  • Background or interest in insurance, mobile telemetry, or behavioural modelling.
  • Experience applying deep learning models to time-series data.

About the Company

Zego

Property management platform for resident experience

What Zego does: Zego provides a resident experience platform for the residential real estate industry, helping property managers modernize the resident experience and improve operational efficiency. How its product works: property managers subscribe to the platform, which includes online payments, utility management, resident communication, and smart apartment technology; residents use the platform to pay rent, manage utilities, and receive messages, while managers access tools and data to run operations more efficiently. How it differs from competitors: it combines payments, utilities, communication, and smart-apartment features in a single, scalable platform tailored to property managers from small portfolios to large enterprises, focusing on improving resident engagement and back-office efficiency. What the goal is: to simplify property management, boost resident satisfaction, and reduce administrative costs for property managers.

Company size
201-500
Company stage
Acquired
Total funding
$925M
Headquarters
San Diego, CA
Founded
2003

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