أساسي

Principal Data Scientist (Machine Learning & AI) - SBS

madrid, Spain الشركة: JR Spain العميل / صاحب العمل: SBS
تم النشر: 29.05.2026
تاريخ الإغلاق: 13.07.2026
مرجع وظيفي: 220252776632942592032460

معلومات الوظائف

الموقع
madrid, Spain
الشركة
JR Spain
العميل / صاحب العمل
SBS
مرجع وظيفي
220252776632942592032460
نوع القائمة
أساسي
مطلوب تصريح عمل من الاتحاد الأوروبي
لا
تم النشر
29.05.2026
تاريخ الإغلاق
13.07.2026

وصف الوظيفة

We are seeking a highly experienced Principal Data Scientist to lead the design and deployment of advanced machine learning and AI solutions within a regulated financial environment. This role will drive innovation across agentic workflows and generative AI systems while ensuring compliance with financial regulations.


Responsibilities

  • Lead the development and deployment of machine learning models for financial applications.
  • Architect and implement agentic workflows for autonomous decision-making systems.
  • Design and scale Generative AI solutions, including LLM-based systems.
  • Collaborate with stakeholders to translate business requirements and regulatory constraints into technical solutions.
  • Ensure all models and systems comply with financial regulations and governance standards.
  • Mentor and guide junior data scientists and engineers.
  • Work cross-functionally with engineering, product, and compliance teams.


Qualifications

  • Strong expertise in Machine Learning (core competency).
  • Hands-on experience with agentic systems / autonomous workflows.
  • Proven experience with Generative AI and LLMs.
  • Experience working in regulated financial environments (e.g., banking, fintech).
  • Proficiency in Python.
  • Fluency in English.


Preferred Skills

  • Experience with Java.
  • Familiarity with MLOps, model governance, and risk frameworks.
  • Experience leading technical teams or projects.


Company Overview

At SBS, we’re more than just a technology company, we’re a global fintech partner helping banks and financial institutions transform, innovate, and grow. With over 5,000 employees worldwide and clients in more than 80 countries, our solutions power everything from digital banking and lending to payments and core banking systems.


As part of 74Software, we’re backed by a group of leading software companies delivering mission-critical solutions worldwide. Our focus is on delivering long-term value, leveraging cutting-edge technology, and fostering strong client partnerships. Join us and be part of a collaborative, forward-thinking team shaping the future of finance.

Why SBS?

At SBS, we’re committed to supporting our employees in every aspect of their lives, from health and wellbeing to financial security and lifestyle perks.

We offer benefits that allow you to thrive at work and beyond, including health coverage, retirement plans, paid time off, flexible work, career development, competitive pay, and global culture perks.

Equal Opportunity Employer

We are committed to providing equal opportunities and ensuring a fair and inclusive recruitment process. We do not discriminate on the basis of age, disability, gender, sexual orientation, race, religion, or any other protected characteristic.

المهارات

apply blended learning apply for research funding apply research ethics and scientific integrity principles in research activities build recommender systems Business Analytics Business Intelligence collect ICT data communicate with a non-scientific audience Computational Biology Computer Simulation conduct research across disciplines create data models Data Engineering data ethics Data Mining Data Models data quality assessment Data Science data visualisation software define data quality criteria deliver visual presentation of data demonstrate disciplinary expertise design database in the cloud design database scheme develop data processing applications develop professional network with researchers and scientists Digital Curation disseminate results to the scientific community draft scientific or academic papers and technical documentation empirical analysis establish data processes evaluate research activities execute analytical mathematical calculations Hadoop handle data samples Healthcare Analytics image recognition implement data quality processes increase the impact of science on policy and society information categorisation Information Extraction integrate gender dimension in research integrate ICT data interact professionally in research and professional environments interpret current data LDAP LINQ make data-driven decisions manage data manage data collection systems manage findable accessible interoperable and reusable data manage ICT data architecture manage ICT data classification manage intellectual property rights manage open publications manage personal professional development manage research data Marketing Analytics mathematical modelling MDX mentor individuals multidisciplinary research N1QL normalise data online analytical processing operate open source software perform data cleansing perform data mining perform project management perform scientific research promote open innovation in research promote the participation of citizens in scientific and research activities promote the transfer of knowledge publish academic research quantitative analysis query languages report analysis results Research Design resource description framework query language Scientific Computing scientific literature Social Network Analysis SPARQL speak different languages State Estimation statistical modeling techniques Statistics synthesise information teach in academic or vocational contexts think abstractly Unstructured Data use data processing techniques use databases use spreadsheets software visual presentation techniques write scientific publications XQuery

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