Data Science & Machine Learning Internship

Academic training: Degree or Master's specialized in Data Science, Artificial Intelligence, Machine Learning, or Applied Mathematics. (We are looking for profiles with deep specialization in machine learning; general degrees will be discarded if they do not provide such specialization). Internship agreement: An essential requirement is the ability to sign a collaboration agreement with your university or study center.

Technical knowledge: Essential mastery of Python (focused on predictive models and machine learning). Knowledge of SQL and Microsoft 365 management is highly valued.

Languages: English level B1/B2 focused on reading and writing technical documentation.

Key competencies: Analytical capacity and rigor, proactivity and initiative, and adaptability.

Financial aid (Scholarship): €800 gross per month.

Technical development: Practical and comprehensive learning in the design, development, and deployment of Machine Learning predictive models in a real multinational environment.

Are you passionate about Machine Learning and do you want to lead a predictive project with real impact from day one? At Allianz, we are looking for a specialized Data Science profile to join our Ops Steering team in Barcelona through the Allianz Horizon Program. In this position, you will not perform administrative tasks or conventional reporting: you will lead from scratch the development of a predictive model for cost estimation and weather-related claims. You will have direct mentorship from senior data scientists in a technical environment of high methodological rigor.

As a Data Science Intern - Ops Steering, your main responsibilities will be:

Model development: Design and build from scratch a predictive model in Python for the estimation of costs and the dimension of weather-related claims.

Data processing: Manage and analyze historical datasets on weather variables and previous claims to adjust the models.

Operational prediction: Estimate the volume of claims according to weather predictions to optimize the sizing of customer service teams.

Continuous calibration: Update and recalibrate projections by contrasting them with real data after each event. Code optimization: Collaborate with the Data Science team in the application of advanced machine learning and optimization techniques in Python.

Schedule: Part-time morning shift, Monday to Friday from 9:00 to 14:00 h, ideal for combining with your Master's or Postgraduate studies.

Flexibility: Hybrid work modality with 2 days of remote work per week.

Duration: Initial contract of 6 months, extendable for another 6 months (6+6).

Location: Barcelona office.

Start date: January / February (start of the Horizon program).