Data Scientist

About us

mscope is a fast growing fintech applying proprietary AI to Microeconomics & Finance to help institutional investors identify highly promising SMEs and accelerate their growth. We're an ambitious, talented & international team of 30+ eager to build high-quality solutions with real impact on the economy & society.

Todas las habilidades, cualificaciones y experiencia relevantes que necesitará un candidato seleccionado se enumeran en la siguiente descripción.

Backed by strong investors & strategic partners across the fintech sector, we build a suite of disruptive SaaS products using cutting-edge technology: AWS cloud-first architecture, Glue + Pyspark orchestration for Big Data, multi-agent AI systems on Amazon Bedrock, AI-accelerated development with Clouda Code, modern stack (Spring Boot, React-Redux).

The real challenge is execution: delivering fast without compromising quality. If you're motivated by building mission-critical infrastructure that impacts million-dollar decisions, this is your place.

We are looking for an experienced Data Scientist to strengthen our Data Team.What we offer

• Lead end-to-end Data projects: Define problem statement, analyze data, design algorithms & advanced models, and implement your solutions in production
• Effectively lead and mentor Junior Data Scientists, serving as a role model and providing guidance for their development and growth
• Share your insights on a regular basis with technical & business teams
• Be an active part of a dynamic multidisciplinary environment, collaborating with experienced Tech and Product teams
• Contribute your ideas & innovative initiatives as part of the Data team's continuous improvement efforts
• Learn as much as you want about the world of alternative investment

What we're looking for

• Hands-on attitude xghoner
• At least 4 years of experience as Data Scientist
• Robust knowledge of Statistics, Big Data, ML algorithms and NLP techniques
• Robust knowledge of Python and PySpark
• You're fluent (C1) in both Spanish and English
• Having knowledge of LLMs is a plus

Conditions

• Base pay + performance bonus, private health insurance, Gympass and pension plan
• 25 days of vacation (and your birthday off!)
• Hybrid mode: 2 days in office 3 days in remote
• Location: Downtown Madrid (Salamanca district)

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