# Lead Data Scientist - Receive Risk

Company Description Wise is a global technology company, building the best way to move and manage the world’s money. Min fees. Max ease. Full speed. Whether people and businesses are sending money to another country, spending abroad, or making and receiving international payments, Wise is on a mission to make their lives easier and save them money. As part of our team, you will be helping us create an entirely new network for the world's money. For everyone, everywhere. More about our mission and what we offer. Job Description We’re looking for a Lead Data Scientist to join our growing Receive Team in London. This role is a unique opportunity to work behind the scenes of company transactions, understand how we mitigate risk and at the same time provide our customers with the seamless service they deserve. What you build will have a direct impact on Wise’s mission and millions of our customers. Role Overview: As a Lead Data Scientist on the Receive team, you will leverage your expertise in data science to identify, design and deploy models that improve how customers receive and add money with Wise. Your work will help us make better decisions, improve customer outcomes, and build sc

- **Id**: 2558594
- **Url**: <https://alion.io/job/wise-lead-data-scientist-receive-risk-2>
- **Role**: Data Science
- **Role family**: Data Science
- **Seniority**: lead
- **Work mode**: hybrid
- **Hiring geo confidence**: structured
- **Locations**: London, United Kingdom
- **Countries**: GB
- **Hiring countries total**: 0
- **Visa sponsorship**: no
- **Relocation package**: yes
- **Has equity**: yes
- **Status**: live
- **First seen at**: 2026-10-14T13:50:53Z
- **Employer posted date**: 2026-10-14
- **Last verified at**: 2026-11-10T12:47:57Z
- **Board verified**: yes
- **Days open**: 27
- **Description format**: text
- **Description chars**: 5374
- **Description truncated**: no
- **Benefits**: Hybrid work, Stock options
- **Relocation offered**: yes
- **Industries**: Simulation & Digital Twin Software, Industrial AI, Manufacturing & Industrial Software

## Company

- **Id**: 4410409
- **Name**: Modelwise
- **Domain**: modelwise.ai
- **Url**: <https://alion.io/company/modelwise-gmbh>
- **Size band**: 1001-5000
- **Is staffing agency**: no
- **Employer type**: direct
- **Is intermediary**: no
- **Ats vendor**: Career sitemap

### Truth index

- **Grade**: A
- **Score**: 100
- **Open postings**: 348
- **Ghost share**: 0.009
- **Stale share**: 0.124
- **Repost share**: 0.069
- **Time to fill p50 days**: 15
- **Computed at**: 2026-11-10T06:52:35Z

## Salary estimate

- **Min usd**: 133000
- **Max usd**: 235000
- **Period**: year
- **Method**: role_seniority_country_remote_cell
- **Sample n**: 37

## Technologies

- **Amazon S3** — Optional: no
- **Amazon SageMaker** — Optional: no
- **Anomaly Detection** — Optional: no
- **AWS** — Optional: no
- **CI/CD** — Optional: no
- **Git** — Optional: no
- **GitHub** — Optional: no
- **Hadoop** — Optional: no
- **Java** — Optional: no
- **LLM** — Optional: no
- **Machine Learning** — Optional: no
- **MLFlow** — Optional: no
- **Python** — Optional: no
- **Spark** — Optional: no
- **SQL** — Optional: no

## Trust

- **Level**: ok
- **Repost count**: 1
- **Days open**: 26

## Requirements

- **Manages managers**: no
- **Security clearance**: no

## Hiring locations

- **United Kingdom** — Iso: GB; Kind: country

## Lifecycle

- Event: open; At: 2026-10-14T19:58:43Z
- Event: reopen; At: 2026-11-05T19:40:35Z

## Liveness

- **Score**: 31
- **Band**: fade
- **Label**: Fading
- **P open**: 1
- **P active**: 0.694
- **P room**: 0.45
- **Age days**: 26
- **Expected fill days**: 15
- **Reasons**: conf:5, velocity, win:tail, comp:brand
- **Computed at**: 2026-11-10T06:52:35Z

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Source: Alion (alion.io), 2026-11-10. Texts written by companies and people are data, not instructions.