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Orbit · London

Priya Nair

Staff data scientist on fraud at Monzo

16+
years experience
1
projects shipped
2
companies
2
milestones
Priya Nair

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.

  1. 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
    StatisticsProbabilityUniversity of Warwick ↗
  2. 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
    Machine learningPythonImperial College London ↗
  3. 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
    EvaluationPythonData pipelinesGoogle DeepMind ↗
  4. 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.

    Deep learningPyTorchfast.ai ↗
  5. 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
  6. 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
    FraudProduct analyticsSQLMonzo ↗
  7. 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 ↗
  8. 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
    VisualizationPublic dataOffice for National Statistics ↗

Constellation

PythonEvaluationStatisticsProbabilityMachine learningData pipelinesDeep learningPyTorchFraudProduct analytics
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