Basic

Principal Data Scientist (Machine Learning & AI)

madrid, Spain Company: JR Spain Client / Employer: Sopra Steria Group
Posted: 29.05.2026
Closing date: 13.07.2026
Job reference: 326986768387670016032460

Job information

Location
madrid, Spain
Company
JR Spain
Client / Employer
Sopra Steria Group
Job reference
326986768387670016032460
Listing type
Basic
EU work permit required
No
Posted
29.05.2026
Closing date
13.07.2026

Job description

Principal Data Scientist (Machine Learning & AI)
  • Full-time
  • SBSworks with more than 1,500 banks, building societies and specialized finance providers across more than 80 countries worldwide. We help them to develop, deliver and operationalise their digital transformation strategies. Using our suite of digital banking products and services enables these organisations to deliver remarkable financial services to their clients.

    About the Role

    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.

    Key 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.
    • Required Skills & Experience

      • 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.

      Preferred Skills

      • Experience with Java.
      • Familiarity with MLOps, model governance, and risk frameworks.
      • Experience leading technical teams or projects.
      • 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. Here’s a snapshot of the benefits you'll enjoy as part of our team:

        • Health & Wellbeing: Private Medical Insurance, Health Cash Plan, Dental Insurance, Eye Care Vouchers, Flu Vaccinations
        • Finance & Protection:Life Assurance, Critical Illness Cover, Pension Plan, Long Service Awards, Payroll Giving, Fleet car provider
        • Leisure & Lifestyle: Cycle to Work Scheme, Holiday Trading, Travel Insurance

        We are committed to fighting against all forms of discrimination and fostering a work environment that is inclusive and respectful of all differences.

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Skills

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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