Zego
Financial Services
SeniorDataScientist
Neural analysis suggests this role is
optimal for Senior candidates.
“Senior Data Scientist at Zego. Skills: Data science, Data engineering, ML modelling, Signal processing. Process sensor data. Research behavioural features”
Industry & Context.
Reason about noise; Reason about sampling; Reason about filtering; Reason about physical meaning
What They're Looking For.
Must Have
MSc in quantitative field, Engineering foundations, Working knowledge of digital signal processing, Proven track record delivering projects into production, Production-grade Python code, Production-grade SQL code, Experience developing ML models, Experience evaluating ML models, Designed data pipelines from scratch, Built data pipelines from scratch, Maintained data pipelines from scratch, Fluent with AI coding assistants
Nice to Have
Experience applying signal processing to sensor data in production, Exposure to insurance, Exposure to mobile data, Exposure to behaviour modelling, Experience with cloud platforms, Experience with containerisation, Experience with data orchestration frameworks, Familiarity with MLflow, Familiarity with DVC, Familiarity with Streamlit
What You'll Do.
Research behavioural features
Research detection algorithms
Design behavioural features
Build behavioural features
Write production-grade Python
Write production-grade SQL
Prioritise simple solutions
Prioritise robust solutions
Use rule-based solutions
Validate impact with data
Automate insight generation
Collaborate with engineers
Collaborate with product managers
Collaborate with actuaries
Get features into pricing path
Measure feature effect
Translate sensor data
Generate clear findings
How You'll Work.
Team & Collaboration
Engineering; Product; Actuarial colleagues; Cross-functional teams; Technical audiences; Non-technical audiences
Communication Scope
Translate complex data; Share insights clearly
Full Job Description
**About the Team** We don't build pricing models, we build the driving intelligence that feeds them. Our mission is fairer insurance, priced on how people drive, not on who they are, and safer roads. The Telematics team turns raw phone sensor data into meaningful signals about how people drive. Using signal processing and machine learning on high-frequency GPS, accelerometer, and gyroscope data, we extract the behavioural features that power Zego's understanding of driving quality, context, and risk. The Telematics Data Science team collaborates daily with engineering, product, and actuarial colleagues across the UK and PT. We're one team across Portugal and the UK. PT and UK roles carry the same scope, ownership, and progression. Decisions get made where the work happens, not in a single headquarters. This isn't a solo remote seat; you'll join an established team of peers. **About the Role** Few teams use phone sensor data to price commercial motor insurance at scale. As a Senior Data Scientist, you'll shape how millions of trips are turned into risk signals. You'll own behavioural features and algorithms from hypothesis to production, working at the intersection of data science and engineering on GPS, inertial, and other sensor data. You'll move between quick heuristics and full ML models depending on what the problem calls for. You ship code to production, not just notebooks. **Requirements** **What You'll Be Doing** * Work with raw, high-frequency sensor data: GPS, accelerometer, gyroscope, at scale. This isn't warehouse-tabular data: it's noisy, physical, and where the signal actually lives. You'll be processing more than 250k trips per day. * Research new behavioural features and detection algorithms: read the literature, try ideas, kill the ones that don't survive contact with real data. * Design and build behavioural features and factors that feed Zego's understanding of driving quality, context, and risk. * Take ideas from hypothesis to production: prototyp
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