Data Scientist

• Collect, process, and analyse structured and unstructured datasets using Python, SQL, and modern data science techniques
• Develop, validate, and deploy machine learning and statistical models for forecasting, customer analytics, and predictive business use cases
• Perform feature engineering, data preparation, and model optimisation
• Design and maintain analytical workflows and data pipelines, collaborating with Data Engineering teams when required
• Identify trends, patterns, risks, and opportunities in complex datasets
• Translate analytical findings into actionable recommendations and present results to technical and non-technical stakeholders
• Collaborate with clients, business stakeholders, and cross-functional teams to deliver data-driven solutions
• Support data science best practices, modelling methodologies, and reusable analytical frameworks
• Apply predictive analytics, customer analytics, and advanced statistical techniques to business challenges
• Contribute to client-facing analytics projects from discovery through implementation

• Teach engaging Data Science and Data Analytics topics
• Conduct hands-on workshops covering Python, SQL, Pandas, Tableau, Machine Learning and more
• Guide and support students through projects and assignments
• Collaborate with other instructors
• Contribute to improving teaching content
• Provide feedback, mentorship and motivation throughout students’ learning journeys
• Participate in student evaluations, final project mentoring and classroom events

Lead Instructor – Data Science

• Develop a portfolio of real-world evidence projects based on real-world data
• Leverage scientific and technological developments to generate research ideas, solutions, and initiatives
• Conduct end-to-end real-world evidence studies, including research question conceptualization, data feasibility, study design, analysis, programming, and interpretation
• Analyze and interpret data for urgent internal and external stakeholder requests
• Ensure quality of study design, execution, publication, models, and tools
• Create study protocols, statistical analysis plans, and statistical programming deliverables
• Explain technical methods and results to diverse audiences and partners to support decision-making
• Ensure real-world evidence generation aligns with regulatory requirements and scientific standards
• Collaborate with R&D Data, Data Science & AI, and multidisciplinary teams to improve patient outcomes and clinical development in Neuroscience

Principal Data Scientist, Real World Evidence

• Develop a portfolio of real-world evidence projects based on real-world data
• Leverage emerging scientific and technological developments to generate research ideas, solutions, and initiatives
• Conduct end-to-end real-world evidence studies, including research questions, data feasibility, study design, analysis, programming, and interpretation
• Analyze and interpret data for urgent requests from internal and external stakeholders
• Ensure quality of real-world evidence study design, execution, and publication
• Ensure quality of models and tools
• Create study protocols, statistical analysis plans, and statistical programming deliverables
• Communicate technical methods and results to diverse audiences and partners to drive decision-making
• Align real-world evidence generation with regulatory requirements and scientific standards
• Collaborate with R&D Data, Data Science & AI strategic partners and multidisciplinary teams to improve patient outcomes and clinical development in Neuroscience

• Diseño y desarrollo de soluciones de IA y analítica avanzada orientadas a casos de uso reales
• Implementación de agentes, pipelines RAG y sistemas basados en LLMs
• Exploración, análisis y preparación de datos para iniciativas de IA y Ciencia de Datos
• Integración con servicios cloud e infraestructuras en hiperescalares
• Desarrollo de lógica de negocio y componentes en Python
• Evaluación funcional de soluciones y ajuste iterativo en entornos productivos
• Colaboración en la industrialización de soluciones junto con otros perfiles técnicos

Data Scientist – AI Engineer

• Lead end-to-end clinical data management start-up activities from protocol review through specification development, database build, testing, validation, and production go-live
• Review protocols to identify data collection requirements, build risks, inconsistencies, and impacts to database design or downstream processes
• Translate protocol requirements into study build specifications, including visit schedules, assessments, eCRFs, dosing, data collection, and edit checks
• Apply clinical data standards, including CDISC standards, eCRF design principles, field and variable conventions, and approved standard forms
• Partner with the Standards team to implement protocol-specific modifications
• Collaborate with Study Execution Teams, Medical Data Review, Programming, Data Management, Standards, and other stakeholders
• Plan and oversee sandbox testing and user acceptance testing, including defect documentation, resolution, retesting, and system-readiness confirmation
• Manage timelines, dependencies, deliverables, risks, and issue resolution for database go-live
• Assess and manage the data management impact of protocol amendments and post-go-live changes
• Maintain accurate data management start-up documentation in the eTMF
• Ensure deliverables comply with SOPs, ICH-GCP, regulatory requirements, and internal quality standards
• Manage day-to-day clinical data science activities and support team delivery

Lead Data Manager

• Design, develop, and validate machine learning models to predict transmission outages driven by extreme weather
• Build spatio-temporal models linking weather forecasts to infrastructure failure risk, including probability of failure estimates for transmission and distribution assets
• Develop models characterizing the relationship between transmission outages, extreme weather events, and wildfire ignition risk
• Integrate weather model output, asset and infrastructure data, historical outage records, and geospatial layers into robust, reproducible modeling pipelines
• Operationalize research-grade models into fast, reliable production systems for real-time forecasting workflows
• Evaluate and benchmark model performance against state-of-the-art methods
• Communicate accuracy, skill, and uncertainty to internal teams and utility customers
• Collaborate with meteorologists, risk modelers, and software engineers to improve Technosylva’s outage and extreme weather products
• Leverage agentic coding tools to accelerate model prototyping, pipeline development, testing, and documentation while maintaining rigorous review and validation standards

Senior Data Scientist, Outage & Extreme Weather

• Liderar programas estratégicos de transformación de datos
• Garantizar la correcta ejecución, coordinación y entrega de iniciativas de alto impacto para el negocio
• Impulsar proyectos complejos de modernización y migración de plataformas de datos
• Trabajar estrechamente con equipos multidisciplinares y stakeholders de negocio y tecnología
• Gestionar proyectos de Data en entornos complejos y de gran volumen de datos
• Coordinar equipos de Data, Analytics y Tecnología
• Gestionar stakeholders de distintos niveles, incluyendo posiciones ejecutivas
• Asegurar el delivery, la ejecución y la consecución de resultados

Project Manager, Data Projects

• Tame messy, complex datasets using statistical and stochastic models to ensure top-tier data quality
• Extract actionable insights that drive predictive maintenance strategies
• Design and build robust algorithms capable of handling massive data volumes
• Leverage data-driven approaches to boost functionality, performance, and safety in complex, high-stakes systems
• Deploy state monitoring algorithms in safety-critical environments using advanced sensor networks
• Collaborate with agile, interdisciplinary teams at INVENSITY and directly with clients on-site
• Lead and learn through workshops, coaching, and project-based collaboration
• Drive innovation across industries including aerospace, automotive, and industrial technology

Data Science Expert – Technology Consulting

• Proactively review technical literature, learn new methodologies, and align with Data Science leaders
• Develop innovative solutions to existing and new business challenges
• Identify business needs, align with key stakeholders, organize analytics teams, connect model findings to business strategy, and generate practical recommendations
• Define and implement models to uncover patterns and predictions that create business value and innovation
• Lead complex cross-organizational projects involving several Data Scientists
• Provide guidance, training, and mentoring to less experienced staff members
• Provide domain-specific expertise in cross-organization projects and initiatives
• Collaborate with Managers, Directors, EXEC2s, and EXEC3
• Develop presentations for senior decision makers covering the case for change, options, trade-offs, and recommendations
• Manage relationships with business partners to evaluate and foster data-driven innovation
• Support the people leader with skills assessment, feedback, and hiring criteria/approach
• Tie insights into effective visualizations communicating business value and innovation potential
• Maintain proficiency in data science and contribute to industry data science initiatives
• Lead high-impact initiatives influencing global marketing investment decisions
• Shape how AI, experimentation, and analytics are operationalized across HP’s digital direct marketing ecosystem

Data Scientist jobs in Spain

Data Scientist

Lead Instructor – Data Science

Principal Data Scientist, Real World Evidence

Principal Data Scientist, Real World Evidence

Data Scientist – AI Engineer

Lead Data Manager

Senior Data Scientist, Outage & Extreme Weather

Project Manager, Data Projects

Data Science Expert – Technology Consulting

Lead Data Scientist, Marketing Advanced Analytics