# Data Science Manager

**Company**: GoCardless, a Mollie company
**Location**: London
**Experience**: senior
**Job type**: full-time
**Salary**: £99,200 - £148,800
**Category**: Data Science
**Industry**: Finance

**Apply**: https://job-boards.greenhouse.io/gocardless/jobs/7525953?utm_source=yubhub.co&utm_medium=jobs_feed&utm_campaign=apply
**Canonical**: https://yubhub.co/jobs/job_8dac04f0-583

## Description

## Job Overview

As a Data Science Manager within our Payment Intelligence team at GoCardless, you'll partner with Software Engineers, Product Managers, and Designers to turn big ideas into reality. You'll own the full lifecycle of our algorithms, shaping everything from the initial concept to production-ready code that powers our global payment network.

## Responsibilities

- Manage and mentor a high-performing team of Data Scientists, fostering a culture of technical excellence and supporting their long-term career development.

- Oversee the end-to-end lifecycle of mission-critical ML models that power real-time payment decisions.

- Shape the strategic roadmap for the Payment Intelligence space, translating complex data challenges into actionable, high-impact goals.

- Drive cross-functional impact by working closely across disciplines to build end-to-end technical solutions, from concept to production.

- Influence Senior Leadership by acting as the bridge between technical complexity and business value, communicating ML strategy to senior stakeholders.

## Requirements

- 2+ years managing Data Scientists within complex, high-stakes domains.

- A hands-on leader comfortable diving into the codebase, bringing strong expertise in Python and SQL to oversee the full lifecycle of a model, from initial prototype to robust production deployment.

- A decisive collaborator who can navigate technical trade-offs and translate complex ML concepts for cross-functional stakeholders and leadership.

- Familiarity with complex data environments and model architectures, such as deep learning.

## Benefits

- Wellbeing - stay healthy with dedicated support and medical cover

- Work away scheme - gives you the option to work away from your country of residence for up to 90 days in any 12 month period

- Adaptive Working - allows you to work flexibly, around your lifestyle

- Parental leave - to suit everyone embarking on life's great adventure

- Learning Budget - lead your own development with an annual learning budget

- Time off - generous holiday allowance, + 3 annual volunteer days, + 4 annual business-wide wellness days (‘GC Fridays’)

## Salary

£99,200 - £148,800

## Skills

### Required
- Python
- SQL
- BigQuery
- Google Cloud Platform
- Vertex AI
- Machine Learning
- Deep Learning

### Nice to have
- Fintech
- Fraud Prevention
- Payments

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Source: [Apply at job-boards.greenhouse.io](https://job-boards.greenhouse.io/gocardless/jobs/7525953?utm_source=yubhub.co&utm_medium=jobs_feed&utm_campaign=apply)