Undergraduate Placement - Data Science & Fraud Analytics

London Wallonsite

Posted today · via Workday

About this role

Undergraduate Placement Data Science & Fraud Analytics APPLICATION CLOSING DATE January 2027 START DATE July 2027 LOCATION London (Hybrid) DURATION 13 months Ready to take on real-world challenges? Are you looking for a paid industrial placement as part of your degree and want to work on problems that genuinely matter? At LexisNexis Risk Solutions, you'll join an analytics team that helps some of the world's largest organisations combat fraud, reduce risk and make smarter decisions through advanced analytics, machine learning and digital identity intelligence. We're looking for curious, ambitious students who enjoy tackling complex problems, working with data and learning new technologies.…

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What we'd score you on

reqspace match rubric

Five dimensions, recruiter-grade. Upload your resume and we'll generate a written explanation of where you fit and where the gaps are.

1

Skills match

For this role: python, sql, snowflake, dbt, github…

2

Level fit

We check your title trajectory against the seniority signal of the role.

3

Domain experience

Your work in the role's domain matters more than your years total. We weight recent and direct experience.

4

Recency

A skill you used last quarter weighs more than one from five years ago. We grade on recency, not lifetime.

5

Location fit

This role is based in London Wall. We weight your proximity and willingness to relocate.

Score yourself on this role.
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Skills in this role

Pulled from the job description. These are the keywords we'll weight when scoring your fit.

pythonsqlsnowflakedbtgithubteams

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