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# Senior Data Scientist

- **Company:** Envisso
- **Location:** London, UK (Remote available)
- **Experience:** Expert
- **Salary:** £70,000.0
- **Contract:** Permanent contract
- **Skills:** Python (Programming Language), Logistic Regression, SQL Databases, Data Processing, Large Language Models, Xgboost
- **Published:** September 10, 2026
- **Apply:** https://www.indeed.com/viewjob?jk=3d3a7a2f7e362da9

## About the Role

We're looking for someone who is excited at the prospect of facing new and difficult data challenges. Someone who is comfortable working as part of a team who are building things from scratch. We're looking for someone with deep technical skills, but who is really motivated by making an impact on our business and our customers., * 4-5 years experience conducting analysis in Python and extracting/manipulating data in SQL.

 * 2-5 years experience in a quantitative credit risk or fraud role
 * Experience with supervised models (e.g. logistic regression, gradient boosting).
 * Able to work autonomously and be a proactive problem solver.

Nice-to-Haves

 * Experience in consulting and/or start-up environments
 * Strong commercial acumen and an understanding of the economics underpinning credit or payments portfolios
 * Experience with unsupervised ML methods (e.g. clustering, anomaly detection).
 * LLM prompt management or agentic experience
 * Good grasp of fundamental principles of credit risk modelling and able to creatively apply them to new problems., * How many years of professional experience do you have in a quantitative credit risk or fraud role?
 * How many years of experience do you have with supervised models (e.g. logistic regression, gradient boosting)?
 * How many years of professional experience do you have in conducting analysis in Python and extracting/manipulating data in SQL?
 * What is your expected annual salary in GBP?

## Description

Use advanced analytics alongside, where necessary account-level reviews to monitor and assess the portfolios of our partners to ensure we obtain and maintain a deep understanding of where the existing and emerging risks are coming from.

Build, implement and monitor new predictive rules and models which help us expand our capabilities around accurately understanding the level of risk the merchants our partners are presenting.

Liaise with various payments firms and insurers to understand their needs and help shape the solutions we bring to market.