Data Scientist - Credit, ML & AI

In a perfect world there would be no credit. All credit is bad by nature and you do well in avoiding it as much as you can. In a perfect world, credit and the companies that provide it wouldn’t exist. We wouldn’t either.

But we don’t live in a perfect world. From time to time, we all need a helping hand to make ends meet and to make dreams become a reality. From time to time, we all need a life-happens credit buffer.

“Just make sure it’s a fair one.”

Who we are

Fairlo is a fintech active in Sweden and the UK, helping people access sustainable finances. Our edge comes from transparency and flexibility towards the customer, and from our in-house credit decision engine and the machine-learning models that power it.

Where we are now

Since launching in 2018 we’ve helped tens of thousands of customers access responsible credit when life happens. We have 50,000+ active users, a 4.7 Trustpilot rating from 4,500+ reviews and an incredibly low churn rate. Transparency and flexibility aren’t just the right thing to do; they’re a winning model.

We’re a tight team of 50 in Stockholm, Crete and the UK, backed by some of Sweden’s most experienced investors. Our culture prizes kindness, courage, collaboration and common sense.

Where we’re going

In line with new legislation and our long-term vision, we’re entering a new chapter of growth on the road to becoming a bank. That means scaling responsibly and putting AI to work where it makes credit fairer: sharper risk decisions, faster underwriting and better customer outcomes, all while staying true to our mission of a fairer world, even when it comes to money.

The role

You’ll join the Credit team as we bring our decision engine fully under Credit’s ownership. You’ll own the models, data parsers and AI tooling that decide who we lend to, and how much, across two regulated markets.

We build with AI every day. Our credit team ships with AI coding agents, and we use large language models to turn messy, unstructured data (bank statements, open banking transactions, customer documents) into signal our models can use. We want someone who is excited to push that further, and rigorous enough to do it in a regulated lender.

What you’ll do

Own projects end-to-end, from the first query to production and monitoring:

• Data and features. Analyse large datasets, engineer features and build robust data pipelines.

• Credit models. Develop, validate and improve ML models for risk, affordability and limit decisions.

• LLM-powered extraction. Use LLMs to parse and categorise unstructured financial data, with evaluation sets that prove it works.

• AI-assisted engineering. Use agents like Claude Code and Cursor to move faster, and help the team adopt what works.

• Responsible AI. Keep models explainable, fair and monitored, ready for regulators and auditors.

• Production. Use CI/CD for testing, deployment and monitoring of models in AWS.

• Collaboration. Work with risk, product and engineering to break complex problems into shippable steps.

What we believe you bring

• Fluency in Python and SQL

• Experience taking ML models into production, not just notebooks

• Hands-on use of AI coding tools (Claude Code, Cursor, Snowflake Cortex or similar) in your daily work, and opinions on where they help and where they don’t

• Experience building with LLMs: prompting, structured extraction, retrieval or evaluation

• Experience running software in AWS, or a strong desire to learn

Even better if you have

• Experience in banking, credit or another regulated industry

• Knowledge of model risk management, explainability or fairness testing

• Familiarity with the EU AI Act, which treats credit scoring as high-risk

Joining Fairlo means

• Being part of building the financial world you would like to live in.

• Health insurance, pension at ITP level and a health and wellness allowance

• 30 days of vacation per year plus klämdagar off

• The possibility to use the Fairlo Cretan house for both work and vacation stays

• The possibility of bike leasing

• A hybrid working model with a top-location office in Stockholm

• Being part of a team that supports one another, has fun together and thrives

Where you’ll work

Mostly in our Stockholm office, with occasional travel to our tech hub in Crete and the UK. We offer a hybrid model, competitive benefits and, most importantly, a deeply supportive and purpose-driven culture.