# Junior Data Scientist

**Company:** Kreditz
**Department:** Product
**Role:** Junior Data Scientist
**Location:** Danderyd

_Kreditz is transforming how businesses assess credit and risk using real-time data and NextGen Credit Scoring solutions._

_As one of Europe’s fastest-growing FinTech scaleups - we’ve earned a place on the_ **_Sifted 100: Nordics & Benelux_** _list in both 2024 and 2025 and most recently, we were proud to receive a_ **_double win at the Credit Management & Compliance Awards 2025_** _, being named both "_ **_Fintech Rocket of the Year_** _" and "_ **_Breakthrough of the Year_** _"._

_With strong growth across the Nordics and Europe, our clients range from leading banks and iGaming giants to fast-moving digital innovators._

_Now, we’re looking for a_ **_Junior Data Scientist_** _ who can help transform a high-performing fintech into a billion-dollar business._

**ABOUT THE POSITION**  
Kreditz AI/Product team is looking for a Junior Data Scientist to help turn Open Banking transaction data into high-precision credit risk, affordability, and fraud insights. As a regulated AISP and licensed credit reference provider across European markets, Kreditz builds the scoring models, income verifications, and risk detection rules that power modern automated lending. You will work directly on the data analysis, feature engineering, and predictive models behind our core products, alongside our ML Engineers and Senior Data Scientists.

**WHAT CAN KREDITZ OFFER**

- A once-in-a-lifetime growth journey, from startup to Global scaleup  
- A journey where _everyone_ in the team plays a crucial role for our company’s success

- Fun-loving, driven, and passionate colleagues who support each other’s success

- A culture that celebrates progress, humility, and teamwork  
- We win _together_

- 24/7 access to gym, sauna and sports facilities at our office, plus additional wellness allowance

- Competitive base salary  

**RESPONSIBILITES**

Some of the main responsibilities you will cover:

- **Perform exploratory and granular data analysis** on large-scale Open Banking (PSD2) transaction datasets, uncovering trends in income stability, recurring obligations, discretionary spending, and default behavior across European markets.

- **Design, test, and document** domain-specific features for our transaction categorization engine, credit risk scoring models (e.g., Kreditz Score), and real-time fraud detection systems.

- **Support model lifecycle and validation:** train, validate, and benchmark supervised learning models (logistic regression, XGBoost/LightGBM, decision trees) using cross-validation, hyperparameter tuning, and standard evaluation metrics (AUC-ROC, Gini, KS-statistic, F1-score).

- **Investigate model behavior and anomalies** through root-cause analysis on edge cases, data drift, and performance discrepancies across banking connections, transaction taxonomies, and cross-border implementations.

- **Collaborate** with Machine Learning Engineers to ensure seamless handoff of verified modeling pipelines and features into production.

- **Translate technical findings into actionable dashboards** , model documentation, and clear presentations for product managers, internal risk committees, and external client stakeholders.  

**WE ARE LOOKING FOR**

- **Bachelor's or Master's degree** in Statistics, Data Science, Mathematics, Computer Science, Engineering, Quantitative Economics, or a related quantitative field.

- **0-2 years**  **of experience** with strong proficiency in Python (pandas, NumPy, scikit-learn, SciPy) and advanced SQL for querying large relational and semi-structured datasets.

- Solid grounding in statistical inference, probability distributions, hypothesis testing, and supervised learning algorithms, with a strong desire to understand why a model behaves as it does.

- Experience using visualization libraries (matplotlib, seaborn, Plotly) or BI platforms to communicate findings to both technical and non-technical audiences.

- Proven ability to break down ambiguous, open-ended business questions into structured, hypothesis-driven analyses.

- Rigorous approach to data sanity checks, unit testing your analysis, and validating your own results before sharing outputs.  

**WHY JOIN NOW?**

Kreditz is scaling from startup to global fintech leader, and this role sits at the center of that growth: the models you help build directly power automated lending decisions across European markets. You'll join at a stage where your work has outsized visibility and impact, working alongside experienced ML Engineers and Senior Data Scientists while helping shape how the team builds and validates models going forward.

**APPOINTMENT OF ROLE**

Q3/Q4 2026

**SCOPE**

Full-time, permanent employment (tillsvidareanställning)

**SALARY**

Competitive salary

**REPORTING**

You will be reporting to the company’s CPO

**WORKPLACE**

Danderyd, Stockholm

**RECRUITMENT PROCESS**

Ongoing selection, we review candidates continuously.  
_Last day for applications 2nd October 2026_

**CRIMINAL RECORDS EXTRACT**

As part of our recruitment process we will ask you to present a clean criminal records extract

**CONTACT**

Lorenzo Puccio, VP Strategic Operations, [Lorenzo@kreditz.com](mailto:Lorenzo@kreditz.com)

For more information about the role feel free to reach out to our CPO Spilios Tzouras, [spilios.tzouras@kreditz.com](mailto:spilios.tzouras@kreditz.com)

_This position is no longer accepting applications._