Job
- Level
- Experienced
- Job Field
- Data
- Employment Type
- Full Time
- Contract Type
- Permanent employment
- Location
- Frankfurt
- Working Model
- Hybrid, Onsite
Job Summary
In this position, you develop ML models for fraud detection, analyze transactional data for suspicious patterns, and manage the entire model lifecycle from prototyping to production.
Job Technologies
Your role in the team
- We are looking for a hands-on Data Scientist who is passionate about applying machine learning to real-world financial crime problems.
- You enjoy working with complex transactional data, take ownership of models from idea to production, and care about building solutions that are not only accurate but also robust, explainable, and scalable.
- You are comfortable working in a fast-growing scale-up and collaborating closely with engineers and product teams.
- Develop and improve ML models for fraud detection.
- Work on automated rule discovery and optimization for fraud detection.
- Explore transactional and behavioral data to identify suspicious patterns.
- Own feature engineering, model training, validation, and monitoring.
- Take models from prototype to production.
- Communicate results clearly to technical and business stakeholders.
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Our expectations of you
Education
- Degree in Data Science, Computer Science, Statistics, Mathematics, or a related field.
Qualifications
- Strong proficiency in Python and SQL.
- Deep understanding of classification and anomaly detection algorithms, with the ability to select, tune, and evaluate models using appropriate metrics and validation strategies.
- End-to-end ownership: from exploring high-dimensional data and building models to visualizing results, deploying to cloud platforms (GCP, Azure, or AWS), and managing the full model lifecycle.
- Vertrautheit mit Model-Explainability-Tools wie SHAP und Model Cards.
- Structured, self-directed working style and strong communication skills.
- Fluent in English; professional working proficiency in German, including client-facing technical discussions.
Experience
- 2-3 years of hands-on experience in machine learning and applied data science, ideally in fraud detection, banking, or financial services.
- Experience with LLMs and agentic workflows.
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What we offer
- Attraktive Vergütung.
- Flexible hybrid work model, allowing you to split your time between our office in Frankfurt and working from home.
- High ownership and real impact in a growing fintech.
- Flat structures and short paths from idea to action.
- A collaborative, international team culture.
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Benefits
Work-Life-Integration
Topics that you deal with on the job
Job Locations
This is your employer
spotixx GmbH
Founded in 2019, spotixx GmbH is an innovative company based in Frankfurt am Main, specializing in combating financial crime. It provides software solutions and consulting services for financial institutions to effectively fight money laundering and fraud. With a team of over 50 employees, spotixx operates as a growing startup in the financial sector.
Description
- Company Type
- Startup
- Working Model
- Full Remote, Hybrid, Onsite
- Industry
- Banking, Finance, Insurance
Data Scientist
- Location
- Frankfurt
- Working Model
- Hybrid, Onsite
- Diversity
- Open for all genders
