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Beca Ops Steering - Data Science & Machine Learning
You will develop a predictive model in Python to estimate the costs and volume of weather-related claims using historical data and weather forecasts. You will also contribute to calibrating projections and optimizing machine learning models with the Data Science team in Barcelona. The internship is part-time in the mornings, Monday to Friday, and includes a gross monthly stipend of €800 and a hybrid work arrangement.
- Level : Internship / apprenticeship
- Schedule : Part-time
- Education : Three years of higher education
-
Python
- SQL
- Microsoft 365
- Machine learning
Information about Randstad
- Official domain
- randstad.es
- Open jobs
- 5924
Job details
The full description published by Randstad.
Como Becario/a en Data Science - Ops Steering, tus responsabilidades principales serán: Desarrollo de modelos: Diseñar y construir desde cero un modelo predictivo en Python para la estimación de costes y dimensión de siniestros meteorológicos. Tratamiento de datos: Gestionar y analizar conjuntos de datos históricos sobre variables meteorológicas y siniestralidad previa para ajustar los modelos. Predicción operativa: Estimar el volumen de siniestros según predicciones meteorológicas para optimizar el dimensionamiento de los equipos de atención.
Calibración continuada: Actualizar y recalibrar las proyecciones contrastándolas con los datos reales tras cada evento. Optimización de código: Colaborar con el equipo de Data Science en la aplicación de técnicas avanzadas de machine learning y optimización en Python. Requisitos del puesto: Formación académica: Grado o Máster especializado en Ciencia de Datos (Data Science), Inteligencia Artificial, Machine Learning o Matemática Aplicada. (Se buscan perfiles con especialización profunda en aprendizaje automático; se descartan grados generales si no aportan dicha especialización).
Convenio de prácticas: Requisito imprescindible poder firmar convenio de colaboración con tu universidad o centro de estudios. Conocimientos técnicos: Dominio imprescindible de Python (enfocado a modelos predictivos y machine learning). Muy valorable conocimientos de SQL y manejo de Microsoft 365. Idiomas: Inglés nivel B1/B2 enfocado a la lectura y redacción de documentación técnica. Competencias clave: Capacidad analítica y rigor, proactividad e iniciativa, y adaptabilidad.
Formación: Grado Idiomas: Inglés : B2 Conocimientos: actuaria , matematicas Tus beneficios: Horario: Jornada parcial de mañana, de Lunes a Viernes de 9:00 a 14:00 h, ideal para compaginar con tu Máster o Postgrado. Ayuda económica (Bolsa de estudios): 800 ¿ brutos mensuales. Flexibilidad: Modalidad híbrida de trabajo con 2 días de teletrabajo a la semana. Duración: Contrato inicial de 6 meses, prorrogable a 6 meses más (6+6). Ubicación: Sede de Barcelona. Incorporación: Enero / Febrero (inicio del programa Horizon).
Desarrollo técnico: Aprendizaje práctico e integral en el diseño, desarrollo y despliegue de modelos predictivos de Machine Learning en un entorno multinacional real
Requirements
- Degree or master's specialization in Data Science, Artificial Intelligence, Machine Learning, or Applied Mathematics
- Ability to sign an internship agreement with a university or educational institution
- Proficiency in Python for predictive models and machine learning
- English B1/B2 for reading and writing technical documentation
- SQL and Microsoft 365 knowledge valued
Benefits mentioned
- Part-time morning schedule, Monday to Friday
- €800 gross monthly stipend
- Hybrid work arrangement with two remote days per week
- Six-month initial term, extendable by a further six months
- Practical training in predictive machine learning models
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