Senior Data Scientist at Prestatech GmbH
10178 Berlin, , Germany -
Full Time


Start Date

Immediate

Expiry Date

21 Nov, 25

Salary

0.0

Posted On

23 Aug, 25

Experience

6 year(s) or above

Remote Job

Yes

Telecommute

Yes

Sponsor Visa

No

Skills

Machine Learning, Credit Scoring, Computer Science, Data Science, Pandas, Mathematics, Python, Fintech, Numpy, Git, Risk Modeling, Version Control

Industry

Information Technology/IT

Description

ABOUT PRESTATECH

At Prestatech, we’re redefining the financial world by fostering innovation and challenging the traditional banking system. Our culture is diverse, dynamic, and forward-thinking. From our offices in Berlin and Milan, we create cutting-edge API technologies in an inclusive environment where everyone can contribute their best work.
Founded in 2021 by Christian Nothacker, Luca Terragni, and Lorenzo Giusti, Prestatech combines document automation and proprietary technology to help financial institutions and B2B companies make quick, reliable, and inclusive credit decisions for SMEs and consumers.
When most people think of getting a loan or mortgage, they picture a slow and tedious process. Our mission is to simplify that through technology.
We’re a young and fast-growing company—but this is our second venture. Before Prestatech, we founded and exited Prestacap, a lending platform for SMEs active in Italy and Germany.
We’re passionate about data and technology, never satisfied with the status quo, and believe that teamwork is key to achieving ambitious goals together.
To date, we have raised €8 million, which is helping us bring more innovative solutions to market, expand operations in Italy, and launch in the UK, Germany, and the US..
We’re now looking for a Senior Data Scientist, someone with prior experience in fintech who is hands-on, outcome-driven, and deeply curious about solving business problems with data and AI.

You would be joining a flexible and dynamic team and your role will include:

  • selecting features, building and optimizing classifiers using machine learning techniques
  • processing, cleansing and verifying the integrity of data used for analysis
  • deep dive on the problems using SQL and scripting languages to drive solutions leveraging Statistical Analysis
  • implement and scale data pipelines and solutions using Big Data technologies
  • design, train, and deploy machine learning models and AI-based solutions for credit scoring, fraud detection, and other core financial applications.
  • collaborate closely with the development team to recommend and build innovations based on Data Science
  • own the process: identify and execute on high impact projects, triage external requests, and make sure you bring projects to conclusion in time for the results to be usefulleverage AI tools to achieve even better and faster results

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REQUIREMENTS

  • 6+ years of experience in Data Science, ideally in fintech or financial services
  • Bachelor’s degree in Computer Science, Data Science, Mathematics or related field (MSc/PhD preferred)
  • Strong understanding of Big Data frameworks and cloud platforms.
  • Expertise in machine learning and AI techniques
  • Proficient in Python, with hands-on experience using Pandas, NumPy, Scikit-learn
  • Skilled in working with SQL/NoSQL databases
  • Experience with version control (Git) and writing clean, maintainable codeExperience with financial datasets, credit scoring, or risk modeling is a strong plus

  • Not sure you meet evert single requirement? Don’t worry — if this role excites you and you believe you could be a good fit, we’d still love to hear from you. At Prestatech, we value potential, curiosity, and passion just as much as experience.

How To Apply:

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Responsibilities
  • selecting features, building and optimizing classifiers using machine learning techniques
  • processing, cleansing and verifying the integrity of data used for analysis
  • deep dive on the problems using SQL and scripting languages to drive solutions leveraging Statistical Analysis
  • implement and scale data pipelines and solutions using Big Data technologies
  • design, train, and deploy machine learning models and AI-based solutions for credit scoring, fraud detection, and other core financial applications.
  • collaborate closely with the development team to recommend and build innovations based on Data Science
  • own the process: identify and execute on high impact projects, triage external requests, and make sure you bring projects to conclusion in time for the results to be usefulleverage AI tools to achieve even better and faster result
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