# Data Scientist

**Company**: Zego
**Location**: London
**Work arrangement**: hybrid
**Experience**: mid
**Job type**: full-time
**Category**: Data Science
**Industry**: Insurance

**Apply**: https://jobs.ashbyhq.com/zego/aea14f06-fe74-46c8-aa0f-1827f762412c?utm_source=yubhub.co&utm_medium=jobs_feed&utm_campaign=apply
**Canonical**: https://yubhub.co/jobs/job_a89259e6-bf1

## Description

At Zego, we're on a mission to do the good thing, not the insurance thing.

Insurance hasn't changed much in over a century. The way we live, work and travel has. We're building the real-time, AI-driven infrastructure that powers innovative insurance, so good drivers get cover that works the way they actually drive.

As a Data Scientist, you'll contribute to the future of behaviour-based insurance. You'll contribute to the development of features and algorithms that detect driving patterns from sensors, test new hypotheses, and help bring impactful insights into production.

**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 ML-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 our roadmap and product.

**Requirements**

- MSc or BSc in a relevant field (e.g., Computer Science, Engineering, Physics, Statistics), or equivalent practical experience.

- Hands-on experience developing data science or data engineering solutions. You're comfortable writing production-grade code, not just notebooks.

- Solid skills in Python and SQL, including standard libraries (Polars, Scipy, NumPy, Scikit-Learn).

- Experience building or maintaining data pipelines and tools that are reliable and maintainable.

- Clear communication skills: able to break down problems into testable hypotheses and collaborate effectively within multi-disciplinary teams.

- A growth mindset: curious, eager to learn from senior peers, and open to feedback.

**Nice to Have**

- Exposure to noisy, high-frequency, or time-series sensor data (e.g., GPS, accelerometer).

- Familiarity with digital signal processing or sensor physics principles.

- Familiarity with cloud platforms (e.g., AWS) and tools like Docker or basic pipeline orchestration.

- Background or interest in insurance, mobile telemetry, or behavioural modeling.

- Experience applying Deep Learning models to time-series data.

**Benefits**

- Market-competitive salary, benchmarked against your function and reviewed every year.

- Annual performance bonus, linked to company performance and your contribution.

- Share options, a real stake in the company and a share in the future you build.

- Private medical insurance.

- Pension, generous holiday, and £1,000 a year to spend on getting to the office or learning something new.

- Cutting-edge systems and tools, so you always have what you need to drive your impact.

## Skills

### Required
- Python
- SQL
- data science
- machine learning
- data engineering

### Nice to have
- GPS
- accelerometer
- time-series data
- Deep Learning
- cloud platforms
- AWS
- Docker

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Source: [Apply at jobs.ashbyhq.com](https://jobs.ashbyhq.com/zego/aea14f06-fe74-46c8-aa0f-1827f762412c?utm_source=yubhub.co&utm_medium=jobs_feed&utm_campaign=apply)