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thinkmoney

thinkmoney

www.thinkmoney.co.uk

1 Job

133 Employees

About the Company

thinkmoney is an all-in-one banking app. For over 20 years, we've helped over a million people with our current accounts, credit cards, and loans. We help people be their money best with personalised SmartBudget, relevant lending products, cashback & discounts.

Our mission is to make sure everyone has access to best-in-class financial products, especially those who’ve been underserved or undervalued. We believe in inclusion, equality, and building relevant products and services that genuinely improve everyday lives.

Over the years, we’ve picked up plenty of awards, like Best Use of IT in Retail Banking at the 20th Banking Tech Awards, and we’re proud to hold a four-star Fairbanking mark for supporting financial wellbeing. But for us, the real win is knowing we’re making a difference.

Giving back is a huge part of our culture and we've teamed up with incredible organisations like Cash for Kids, Chance for Childhood, and Salford Foodbank to help make a difference. Through fundraising and Gift Aid, we've raised over £1.5 million for charity.

Behind all of this is an incredible team of talented and passionate people making the magic happen. We’ve always believed our people are our greatest asset. That’s why we’ve built a culture and community that’s supportive, flexible, and focused on helping each other grow - whether that’s through training, career development, or simply being there when life happens.

It’s our job to look after our thinkers, so we can all achieve our shared goal of changing banking for the better.

Listed Jobs

Company background Company brand
Company Name
thinkmoney
Job Title
Data Scientist - Foundation
Job Description
**Job Title:** Data Scientist - Foundation **Role Summary:** Early-career role focused on transforming financial data into actionable insights and ML models. Collaborate in a cross-functional team to build reliable datasets, analyze data, and support model deployment within AWS and Agile workflows. **Expectations:** Structured mentorship for career growth. Exposure to full model lifecycle (data access to governance). Emphasis on reproducibility, documentation, and compliance-aligned work. **Key Responsibilities:** - Extract, transform, and analyze data using Python/SQL on AWS platforms (e.g., SageMaker). - Create reusable datasets and features with version control (Git) and quality checks. - Conduct exploratory data analysis, visualize trends, and document findings. - Develop and evaluate baseline ML models (classification/regression) for experimentation. - Assist in model deployment, monitoring, and safe rollouts with data engineers. - Contribute to data/model governance including lineage, versioning, and privacy practices. - Apply software engineering practices (source control, testing, code reviews) in Agile workflows. **Required Skills:** - Proficiency in Python/SQL and AWS (SageMaker, data platforms). - Familiarity with Git, machine learning (basics), and data visualization. - Strong analytical problem-solving, collaboration, and clear communication. **Required Education & Certifications:** - Bachelor’s or advanced degree in Data Science, Computer Science, Statistics, or related field. - Basic understanding of data governance/privacy principles preferred.
Manchester, United kingdom
Hybrid
10-02-2026