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

Backed by strong investors & strategic partners across the fintech sector, we build a suite of ?????????? ???? ???????? 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 ?????? ????, modern stack (Spring Boot, React-Redux).

The real challenge is execution: delivering fast without compromising quality. If you're motivated by building ???????-???????? ?????????????? that impacts ???????-?????? ?????????, this is your place.

We are looking for an experienced ???? ???? to own and drive our ??? (???? ???? ????????????) ????? — the squad that builds the product-criteria and prioritisation layer feeding a bank's own NBC with the right opportunities, for the right client, at the right time.

?️ The role

- Build the prioritisation engine: business rules, objective function and expected-value scoring per company/product. ?
- Architect data pipelines on AWS (Glue, Step Functions, Lambda, S3, Athena, Bedrock) that replace static lists and manual CRM/Excel crosses with automated opportunity identification. ?
- Lead a cross-functional team of Data Engineers and Data Scientists, mentoring them on architecture, data quality and the integration of scoring/ML models into production. ?
- Build full traceability into the system — target perimeter vs. covered perimeter. ?
- Design the criteria-governance and market-intelligence layers as a reusable standard across business units, banks and countries. ?




- Collaborate closely with Product and Business teams to turn real banking pain points into a robust, sellable product. ?

? What we're looking for
- Strong quantitative and analytical mindset, comfortable translating business criteria into scoring and prioritisation logic.
- At least 5 years of experience in data-intensive roles (Data Engineering, Analytics or Data Science), with at least 2 years leading or coordinating technical teams.
- Solid experience designing and operating AWS cloud architectures for data workloads (S3, Glue, Lambda, Step Functions, Athena, RDS).
- Expert knowledge of Python for data engineering and analytical applications; SQL proficiency for complex querying and data modelling.
- Demonstrated experience building scoring, prioritisation or recommendation systems that combine business rules with data-driven models (next-best-action, lead scoring, opportunity prioritisation, or equivalent).
- Fluency in Spanish and English.

⭐ This gives extra points
- Background in Mathematics, Operations Research, Statistics, or other quantitative disciplines.
- Hands-on experience with constrained/combinatorial optimisation, multi-armed bandits, or reinforcement learning applied to business decisioning.
- Experience with Big Data frameworks (PySpark, Glue) and distributed data processing.
- Relevant experience with CI/CD pipelines, infrastructure-as-code (Terraform/CDK), and container environments (Docker, ECS).
- Experience in Financial Services, banking CRM/commercial platforms, credit risk, or marketing decisioning.
- Previous experience in a startup or fast-paced environment building multi-country/multi-tenant products from scratch, where ownership and autonomy are key.

? What we offer
- Base pay + ??????????? ?????, 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)?
- If interested, please email [email protected]?

📌 Data Lead (Madrid)
🏢 mscope
📍 Madrid