Data Scientist

Stockholm, Sweden

Qred

Vi älskar småföretag! Därför har vi rätt företagsfinansiering som passar små- och medelstora företag. Välkommen till Qred Bank!

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Dedicated to powering entrepreneurs, Qred is a profitable, fast-growing fintech scale-up bank. In just 10 years, we’ve grown from a startup to hitting 1 billion SEK in annual revenue supporting over 50,000 entrepreneurs and helping create 10,000+ jobs every year. We combine smart tech with real-world experience to make funding simple, fast, and fair for entrepreneurs who need it most. With strong backing, a flat organization, and bold growth plans, we’re now looking for a Data Scientist to join us and shape the future of small business owners.

About the role

As a Data Scientist at Qred, you’ll be a part of a Data Science team in the Product Organisation, where the Data Scientists collaborate with every part of the organisation. The team is led by an Engineering Manager, to make sure everyone is included, listened to, aligned, and heading in the same direction.

We are revolutionizing the SME lending space, and we need to keep a high pace and think in weeks rather than years. We believe in and encourage testing and trying new things, and think it's positive to learn from failures and move forward.

We like to use the term “full stack data science”, meaning that you would own projects end-to-end. This includes doing the following:

  • Data Collection, Feature Engineering and Preprocessing:
    • Identify and collect relevant data with a focus on quality.

    • Engineer features and preprocess data for robust model development.

  • Model Development and Deployment:
    • Develop, evaluate, and deploy statistical/machine-learning models.

    • Integrate models into scalable systems.

  • Collaboration with other teams and departments:
    • Work closely with other competences, translating requirements into actionable tasks.

  • Continuous Integration and Deployment (CI/CD):
    • Use CI/CD processes for automated testing, deployment, and monitoring.

    • Ensure reliability and maintainability of deployed models.

Here’s what we are looking for:

  • Educational background from a quantitative field, such as Mathematics, Physics, Computer Science, Engineering etc

  • Proven experience with SQL and are either fluent in Python or some other modeling language such as R or SAS and have a desire to learn Python.

  • You have previously been involved in implementing machine learning models into a production environment.

As a person, we’re looking for someone with a doer's attitude and willingness to actively contribute to the work we do.You are inquisitive and enjoy learning new technologies, techniques, and tools. Further on, we assume you love big data sets, and to discover and communicate insights derived from data.

Why join us?

We're offering a unique opportunity to be part of a growing fintech company that's redefining financial services for small businesses in Northern Europe. You'll get to work with cutting-edge techniques and a fun, passionate, and innovative group. We're dedicated to building an environment where everyone can thrive and work-life balance is truly valued.

A few last things

This is a full-time, permanent position based from our office in Stockholm (Drottninggatan 98). While we encourage a hybrid setup, we do expect you to be at least three days per week at the office. Don’t wait to send in your application, we are reviewing applications on a rolling basis. While the start date is flexible, the right candidate can join us immediately.

Qred celebrates diversity and does not discriminate based on ethnicity, religion, national origin, gender, sexual orientation, age, disability status, or any other applicable characteristics protected by law.

#LI-Hybrid #LI-JL1

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* Salary range is an estimate based on our AI, ML, Data Science Salary Index 💰

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Category: Data Science Jobs

Tags: Big Data CI/CD Computer Science Engineering Feature engineering FinTech Machine Learning Mathematics ML models Physics Python R SAS SQL Statistics Testing

Perks/benefits: Career development Flat hierarchy Startup environment

Region: Europe
Country: Sweden

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