Orbit · London
Priya Nair
Staff data scientist on fraud at Monzo
- 16+
- years experience
- 1
- projects shipped
- 2
- companies
- 2
- milestones
Transmission
Priya works where a model meets a ledger. Research engineering at DeepMind in London, then the fraud and spending systems behind a Monzo card.
Stations
Every body in this system.
01 · Education
2010-2014
BSc Mathematics
University of Warwick · Coventry
Mathematics at Warwick, with the third year on probability and statistical modelling. Dissertation on time-series forecasts.
- First-class honours
02 · Education
2014-2015
MSc Computing
Imperial College London · London
A one-year master’s in the Department of Computing, weighted toward machine learning. Thesis on evaluating sequence models when the labels arrive late.
- Distinction
03 · Work
2015-2020
Research Engineer
DeepMind · London
Research engineer in the London lab. Built dataset pipelines and evaluation harnesses for applied machine-learning projects, including the science group’s public releases.
- Owned evaluation jobs that compared model checkpoints against held-out sets
- Supported dataset prep for research the London lab published
04 · Course
2017-2017
Practical Deep Learning for Coders
fast.ai · Remote
The fast.ai course, taken while at DeepMind, to keep a practitioner’s loop next to the lab’s research code.
05 · Achievement
2019-2019
Shared evaluation harness
DeepMind · London
The lab adopted her evaluation runner as the default for one research group: same splits, same metrics, a report a paper could cite internally.
- Became the default runner for the group’s weekly results
EvaluationGoogle DeepMind ↗06 · Work · Now
2020-Now
Staff Data Scientist
Monzo · London
Staff data scientist on financial crime. Models that sit on the card payment path, plus the features behind Monzo Trends.
- Leads the model that scores card payments for fraud before they settle
- Partnered with product on the category totals in Monzo Trends
07 · Achievement
2022-2022
Trends category model
Monzo · London
Shipped a clearer merchant-category model for Monzo Trends, so a coffee and a grocery stop land in the buckets people expect.
- Reduced ‘general’ as a dumping ground for known merchants
ClassificationMonzo ↗08 · Project
2023-2024
Borough Spend
Independent · London
A personal notebook of London spending patterns drawn from Office for National Statistics releases. No bank data. Public tables only.
- Charts family spending by region from the ONS Living Costs release
Constellation