{"id":4040140,"url":"https://alion.io/job/allianz-operations-data-analyst-intern-ai-automation","title":"Operations Data Analyst Intern (AI & Automation)","company":{"id":1757325,"name":"Allianz","domain":"allianz.com","url":"https://alion.io/company/allianz-com","size_band":"5000+","is_staffing_agency":false,"employer_type":"direct","is_intermediary":false,"listed_via":null,"ats_vendor":"Phenom","truth_index":{"grade":"A","score":100,"open_postings":139,"ghost_share":0.007,"stale_share":0.007,"repost_share":0.086,"time_to_fill_p50_days":14,"computed_at":"2026-11-11T05:49:22Z"}},"role":"Analytics","role_family":"Analytics","seniority":"intern","employment_type":"internship","work_mode":"on_site","remote_scope":null,"remote_scope_basis":null,"remote_working_hours":null,"hiring_geo_confidence":"structured","locations":["Madrid, Spain"],"countries":["ES"],"hiring_countries":[],"hiring_countries_total":0,"salary":null,"salary_estimate":null,"experience_years_min":null,"visa_sponsorship":false,"relocation_package":false,"has_equity":false,"technologies":[{"name":"AWS","optional":false},{"name":"Azure","optional":false},{"name":"GCP","optional":false},{"name":"Machine Learning","optional":false},{"name":"Matplotlib","optional":false},{"name":"NumPy","optional":false},{"name":"Power BI","optional":false},{"name":"Python","optional":false},{"name":"PyTorch","optional":false},{"name":"Scikit-learn","optional":false},{"name":"Seaborn","optional":false},{"name":"SQL","optional":false},{"name":"Tableau","optional":false},{"name":"TensorFlow","optional":false}],"status":"live","first_seen_at":"2026-11-10T16:23:30Z","employer_posted_date":"2026-11-10","last_verified_at":"2026-11-11T07:20:43Z","board_verified":true,"closed_at":null,"days_open":0,"trust":{"level":"ok","repost_count":null,"flags":[],"days_open":0},"description":"¿Te apasionan los datos y la inteligencia artificial? ¿Quieres aplicar lo que aprendes en la universidad a retos reales de negocio mientras desarrollas skills clave para tu futura carrera en IA y Data Science? Esta es tu oportunidad de formar parte de un entorno global, innovador y en constante evolución.\nEl equipo de Operaciones busca incoporar un data scientist intern, trabajarás junto a profesionales experimentados para analizar datos, construir modelos predictivos y transformar información en insights accionables que impulsen la toma de decisiones estratégicas de la compañía.\nQué harás\n- Recopilar, limpiar y preparar grandes volúmenes de datos estructurados y no estructurados\n- Explorar datos y aplicar técnicas de data analysis, machine learning e introducción a deep learning\n- Construir, entrenar y validar modelos predictivos con un enfoque en IA responsable y explicable- Crear visualizaciones claras y dashboards para comunicar resultados a audiencias técnicas y de negocio\n- Colaborar con equipos de Engineering, Product, Business y AI para entender problemas reales y proponer soluciones basadas en datos\n- Participar en el despliegue y monitorización básica de modelos, aprendiendo buenas prácticas de MLOps\n- Mantenerte actualizado/a sobre tendencias en IA, analítica avanzada y nuevas tecnologías\nQué necesitas aportar\n Imprescindible poder firmar convenio con institución educativa.\nEstudiante de último curso o recién graduado/a en Matemáticas, Estadística, Informática, Ingeniería, Física, Data Science o disciplinas afines\nEspañol e Inglés nivel avanzado (francés es un plus)\nTechnical skills (nivel académico o primeros proyectos)\nConocimientos de Python y/o R aplicados al análisis de datos\nExperiencia académica o personal con librerías de data science y ML (pandas, NumPy, scikit-learn, TensorFlow, PyTorch, etc.)\nConocimientos básicos de SQL y conceptos de bases de datos relacionales / NoSQL\nInterés por data visualization (matplotlib, seaborn, Power BI, Tableau u otras herramientas)\nCuriosidad por cloud platforms (AWS, GCP, Azure) y entornos de IA escalables\nInterés en temas de AI readiness, ética en IA y uso responsable de modelos\nSoft skills & mindset\nMentalidad analítica y ganas de resolver problemas complejos\nCapacidad para aprender rápidamente y adaptarte a nuevos retos\nBuenas habilidades de comunicación y trabajo en equipo\nProactividad, curiosidad y orientación al impacto\nInterés por el aprendizaje continuo y el desarrollo profesional en IA\nRequisitos deseados/Nice to have(no imprescindible)\nProyectos universitarios o personales en Data Science, ML o IA\nParticipación en hackathons o competiciones de datos (Kaggle, DrivenData, etc.)\nCertificaciones básicas o cursos online en IA, Data Science o Cloud\nInterés en aplicar datos en sectores como seguros, finanzas, retail o salud\nWhat we Offer\nUbicación: Trescantos | Formato híbrido | Beca remunerada y beneficios de empleados.\nNuestros empleados son una parte fundamental del éxito de nuestro negocio. Valoramos que cada persona es única, con necesidades y aspiraciones propias, y nos encanta formar parte de su desarrollo personal y profesional.Te acompañamos y apoyamos en tu crecimiento, ofreciéndote una amplia variedad de cursos y programas de desarrollo diseñados para que tomes el control de tu carrera. Todo ello en un entorno global, donde se fomenta la movilidad internacional y la progresión profesional.\nCuidar de tu salud y bienestar es una de nuestras principales prioridades. Por ello, contamos con programas Work Well que te aportan tranquilidad y te ofrecen flexibilidad para planificar tu día a día, favoreciendo un mejor equilibrio entre la vida personal y profesional.\n107845 | Operations | Student | n.a. | Allianz Partners | Part-Time | Temporary\n Allianz Group is one of the most trusted insurance and asset management companies in the world. Caring for our employees, their ambitions, dreams and challenges, is what makes us a unique employer. Together we can build an environment where everyone feels empowered and has the confidence to explore, to grow and to shape a better future for our customers and the world around us.\nAt Allianz, we stand for unity: we believe that a united world is a more prosperous world, and we are dedicated to consistently advocating for equal opportunities for all. And the foundation for this is our inclusive workplace, where people and performance both matter, and nurtures a culture grounded in integrity, fairness, inclusion and trust.\nWe therefore welcome applications regardless of ethnicity or cultural background, age, gender, nationality, religion, social class, disability or sexual orientation, or any other characteristics protected under applicable local laws and regulations.\nJoin us . 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