Data Scientist

• Participar en la transformación de las principales organizaciones nacionales e internacionales
• Liderar técnicamente en proyectos y coordinar equipos multidisciplinarios
• Trabajar con grandes volúmenes de datos en entornos cloud y on-premise
• Definir estrategias de datos y colaborar en la construcción de soluciones escalables y seguras
• Optimizar consultas SQL y NoSQL

Data Manager

• You’ll help make data a core part of how we build and improve HappyRobot’s products.
• You’ll work closely with Product, Engineering, and Machine Learning teams to measure how changes to our models, agents, and product features affect real-world performance.
• You’ll define meaningful metrics, design experiments, and conduct deeper analyses to understand how our agents create value for clients.
• Your work will range from evaluating A/B tests and model changes to analyzing millions of conversations and workflows.
• You’ll turn complex data into clear insights that influence our product and ML roadmaps.

• Contribute to the development of a portfolio of RWE projects based on RWD that will provide key insights to our pipeline assets
• Leverage emerging scientific and technological developments to generate new research ideas, solutions and initiatives using real-world data
• End-to-end experience in RWE studies including conceptualizing the research questions, data feasibility, study design, analysis, programming, and interpretation
• Analyze and interpret data to support urgent requests from internal and external stakeholders
• Ensure quality of design, execution, and publication of real-world evidence studies, and quality of models & tools
• Create study protocols, statistical analysis plans, and statistical programming deliverables
• Clearly articulate highly technical methods and results to diverse audiences and partners to drive decision-making
• Ensure RWE generation aligned with regulatory requirements and scientific standards

Principal Data Scientist, Real World Evidence

• Design and implement end-to-end data pipelines
• Mentor junior team members
• Communicate and align with stakeholders

Lead Data Scientist

• Design agentic workflows for tax processes, including task-level agent responsibilities, agent-to-agent communication patterns, human-in-the-loop and escalation models, feedback loops and agent performance monitoring and evaluations.
• Define reusable agent blueprints aligned to Lean-derived task definitions.
• Apply leading edge agentic driven design and build methodologies.
• Design and oversee the build of AI-ready data marts that expose tax data at the right grain, maintain lineage and quality controls, and support reasoning.
• Lead data ingestion and transformation from ERP systems, tax platforms, semi-structured documents, external data sources.
• Apply design led thinking to embed agent and workflow governance and security.
• Architect solutions deployable within client environments and EY-hosted platforms.
• Act as technical authority within the CoE, developing reference architectures, patterns, and accelerators.

Data and AI Lead – Agentic Tax Processes and Platforms

• Leverage data to identify risks, opportunities and key pricing drivers
• Turn complex information into actionable insights that influence strategic decision making
• Leverage Machine Learning and advanced analytics to develop risk and pricing models
• Contribute directly to the company’s growth and long-term success through innovative modelling, experimentation, and commercially impactful insights

• Planning, designing, and implementation of BI-DWH IT Services delivery to business users according to best practices, while ensuring high level of services quality and availability.
• Monitor, control and support IT Services delivery; ensure that systems, methodologies and procedures are in place and followed.
• Establishment and management of reporting related to IT Services.
• Align BI services with business priorities SLA implementations and fulfillment.
• Serve as escalation point for IT Services business users and management.
• Take ownership of related Major Incidents to ensuring coordination of resolving parties, effective communication to stakeholders and Major Incidents review.
• Capacity Planning - ensure that future demand from business growth is understood and properly addressed.
• Management of IT operation teams and involvement in budgeting activities.
• Drive IT Services continuous improvements.

IT Service Delivery Manager, Data Management

• Analyze large and complex volumes of data using Python, R and Big Data platforms (Spark, Databricks), applying advanced Machine Learning, NLP and Generative AI techniques.
• Develop interactive dashboards and reports to support strategic decision-making, using tools such as Power BI or similar.
• Create, validate and deploy predictive models and advanced ML algorithms, including Deep Learning and Generative AI applications, to address challenges such as demand forecasting, anomaly detection, process automation, and customer experience personalization.
• Integrate models into production environments using MLOps frameworks, ensuring scalability, reliability and efficiency.
• Work closely with Engineering, Product, Conversational UX and Data teams, translating business needs into analytical, AI-driven solutions.
• Apply Conversational AI techniques, semantic analysis and NLP to extract insights from unstructured and textual data.
• Use data augmentation, including LLM-based approaches, to enrich training data and improve model performance.

Data Science Consultant

• Monitoring and maintaining machine learning and other data science products already in production.
• Building end-to-end machine learning models, Large Language Models (LLMs), and agent systems that deliver transparent, accurate sustainability data to our customers.
• Analyzing complex data sets autonomously
• Participating in the development of proofs of concept
• Keeping always an eye on the business needs & opportunities.
• Communicating with a diverse set of stakeholders with different backgrounds

• Design and implement sophisticated client segmentation models, automated recommendation engines, and dynamic pricing frameworks.
• Build, back-test, and deploy intelligent algorithms and predictive models to support automated execution and market-making strategies across FX products.
• Architect and deliver robust, low-latency analytical models directly into production-ready engines.
• Collaborate closely with the FX Sales team and maintain continuous communication with data science and quant teams across geographies.

Senior Quantitative Data Scientist – Advanced Analytics, Algorithmic Trading

• Ensure AI is solving the right problems
• Use the right approaches and drive measurable impact
• Collaborate with teams across finance, supply chain, R&D, and commercial

Mid Data Scientist

• Desarrollar y aplicar modelos de machine learning y técnicas de inteligencia artificial para resolver problemas de negocio.
• Realizar análisis exploratorio de datos, feature engineering y evaluación de modelos con metodologías rigurosas.
• Participar en la validación de modelos mediante técnicas como cross-validation, análisis de bias/variance y testing de robustez.
• Implementar y mantener pipelines de machine learning (entrenamiento, inferencia y monitorización) bajo estándares de calidad de software.
• Contribuir a la explicabilidad de modelos y documentación en entornos regulados.
• Colaborar con equipos multidisciplinares y comunicar resultados a perfiles técnicos y de negocio.

Senior Data Scientist – Machine Learning, Riesgo de Crédito

• Ensure robust and consistent media tracking across all digital platforms
• Support the definition and implementation of global media tracking standards across Paid, Owned, and Earned channels
• Ensure proper setup and maintenance of tracking frameworks (e.g. Supermetrics, GA4, pixels, tagging plans)
• Coordinate tracking implementation across websites, media platforms, and analytics tools
• Validate data collection quality and ensure consistency across markets and platforms
• Support troubleshooting and issue resolution related to tracking and data collection
• Translate business tracking and measurement needs into clear technical requirements
• Work closely with Media teams on business needs
• Work closely with Tech teams to ensure proper implementation of tracking and data flows
• Collaborate with Data Product Managers to align tracking data with data models and data products
• Ensure consistency between tracking setup, data ingestion (e.g. via Supermetrics), and data warehouse structures (BigQuery)
• Monitor and follow up on implementation timelines and deliverables
• Define and enforce data quality checks and validation processes for media data
• Ensure consistency of naming conventions, KPIs, and tracking structures across markets
• Identify gaps or inconsistencies in data collection and drive remediation actions
• Support the Paid Media Data Manager in ensuring data readiness for reporting and analytics
• Ensure tracking enables accurate measurement of campaign performance and optimization
• Contribute to defining measurement frameworks and supporting performance analysis
• Facilitate alignment between media tracking data and reporting tools (e.g. Looker dashboards)
• Coordinate tracking-related projects (that includes AI projects) across business, Tech, and external partners
• Ensure clear documentation of tracking frameworks, requirements, and implementations
• Support communication and alignment with global and local teams
• Contribute to training and upskilling of markets on tracking best practices

Global Media Tracking Data Manager

• Gestión y transformación de bases de datos utilizadas para la estimación y calibración de parámetros de riesgo (PD, LGD y CCF).
• Participación desde la perspectiva de datos de estimación en ejercicios de calibración, backtesting y seguimiento regulatorio.
• Desarrollo de procesos de explotación y tratamiento de información sobre grandes volúmenes de datos.
• Participación en iniciativas de mejora de calidad, consistencia y trazabilidad de la información.
• Uso de herramientas de visualización y reporting para seguimiento y análisis de información de riesgos.
• Colaboración en iniciativas de automatización y transformación apoyadas en IA Generativa y nuevas capacidades analíticas.

• Translate business needs into technical requirements
• Design, develop, and implement statistically grounded methodologies to address business needs
• Debug and problem-solve issues to ensure the delivery of accurate metrics
• Create and document reusable packages and libraries
• Dive into technical problems and figure out solutions that make our product meaningful

Intern Data Scientist – Hybrid

• Design, develop and deploy advanced AI/ML models for telecom use cases such as: Network optimization, Traffic prediction and anomaly detection, QoS/QoE modeling and root cause analysis
• Apply and adapt state-of-the-art AI techniques, including: Deep Learning (CNNs, RNNs, Transformers), Reinforcement Learning for network optimization, Time-series modeling at scale
• Work deeply with real telecom network data (3G/4G/5G), understanding KPIs, counters, and traffic dynamics
• Build production-ready solutions, ensuring scalability, performance, and reliability
• Collaborate closely with data engineers and telecom experts to integrate AI models into real systems
• Act as a technical reference within the team, contributing to best practices and code quality
• Explore and apply Generative AI and LLM-based approaches to telecom use cases

Data Scientist jobs in Spain

See all jobs on JobTailor

Data Manager

Data Scientist

Principal Data Scientist, Real World Evidence

Lead Data Scientist

Data and AI Lead – Agentic Tax Processes and Platforms

Data Scientist

IT Service Delivery Manager, Data Management

Data Science Consultant

Data Scientist

Senior Quantitative Data Scientist – Advanced Analytics, Algorithmic Trading

Mid Data Scientist

Senior Data Scientist – Machine Learning, Riesgo de Crédito

Global Media Tracking Data Manager

Data Scientist

Intern Data Scientist – Hybrid

Senior Data Scientist