INTERNSHIP - DATA SCIENTIST (W/M)

Allianz Trade en France; Île-de-France; On-site; EUR 10,000 - 17,000; Full time

Job summary

Allianz Trade, headquartered in Paris, offers a data science internship within the Group Data Analytics team. You will join a global group of 30+ data scientists and ML engineers and work on real use cases spanning pricing, underwriting, and GenAI-based solutions for trade credit insurance.

The role emphasizes modern AI, responsible AI practices, and collaboration across R&D, development, and monitoring to deliver measurable business impact.

Qualifications

• Strong data science foundation with Python
• Familiarity with Pandas, scikit-learn, Matplotlib
• Exposure to generative AI / LLM workflows is a plus
• Willingness to learn continuously and communicate clearly in English

Responsibilities

• Contribute to modeling, pricing, GenAI and monitoring roadmap.
• Support development and refinement of pricing models and risk estimates.
• Assist in design and evaluation of LLM-based agents and workflows.
• Build tooling for AI monitoring, drift detection and dashboards.
• Help benchmark new techniques and evaluate production readiness.
• Bridge business questions with modeling approaches in insurance context.

Skills

Python

ML concepts

Pandas

GenAI / LLM

English communication

Willingness to learn

Curiosity

Autonomy

Business-to-model translation

Tools

Git

SQL

Job description

About the Role:

Part of the Allianz Group, Allianz Trade is the global leader in trade credit insurance. For more than 10 years, the Group Data Analytics department has been conducting advanced data analysis and building data science and machine learning models that power the company's core processes: risk assessment, pricing, underwriting, claims management and collection.

As an insurance company dedicated to global trade, Allianz Trade is the perfect playground for data science. Evaluating businesses around the world puts us at the crossroads of countless information sources, and therefore of data, models and opportunities. Today, our scope spans the full spectrum of modern AI, from classical machine learning to generative AI and agentic systems, with a strong focus on industrialization, monitoring and responsible AI in a regulated European environment (EU AI Act).

As a data science intern, you will join a global team of 30+ data scientists, machine learning engineers and modelling experts, and contribute to our R&D, development and monitoring roadmap, working on real use cases with measurable business impact.

Key Responsibilities:

• Contribute to the modeling, pricing, GenAI and monitoring roadmap of the department. Depending on your profile and interests, you will work on one or more assignments.


• In actuarial science and technical pricing, you may contribute to the development and refinement of our pricing models: estimating risk premiums through frequency and severity modeling, improving loss ratio and claims cost predictions, and exploring how machine learning techniques (GLM/GAM extensions, gradient boosting, calibration methods) can complement traditional actuarial approaches in trade credit insurance.


• In agentic AI development, you may design, prototype and evaluate LLM-based agents and multi-agent workflows (tool use, RAG, orchestration) for business use cases such as underwriting support, bond management or document processing.


• In GenAI monitoring and evaluation, you may build state-of-the-art tooling to track generative AI use cases in production: usage analytics, output quality evaluation, drift and hallucination detection, cost and performance dashboards.


• In ML model monitoring, you may strengthen the monitoring of our machine learning and pricing model portfolio by automating performance reviews, data-drift analyses and reporting pipelines.


• In applied R&D, you may benchmark emerging techniques (new foundation models, fine-tuning, evaluation frameworks, agent protocols) and assess their relevance for Allianz Trade, from proof of concept to production readiness.

Profile/Required Skills:

• Data Science skills:
  
  
  
  • Python (good knowledge is a plus, willingness to learn more is mandatory)
  
  
  • Data science & machine learning algorithms and best practices
  
  
  • Standard Python data science libraries (Pandas, scikit-learn, Matplotlib)
  
  
  • Exposure to generative AI / LLM frameworks (RAG, agents, evaluation) is a plus
  
  
  • Basics of Git and SQL are a plus
  
  
  • Background in statistics or actuarial science (GLM, frequency/severity modeling) is a plus for pricing assignments
  
  
  
  


• Other skills:
  
  
  
  • Willingness to learn new stuff each and every day
  
  
  • Curiosity
  
  
  • Autonomy to propose solutions to technical or business problems faced
  
  
  • Ability to transpose a business issue into a modeling issue (and vice versa)
  
  
  • Good communication skills in English, for both technical and business audiences
  
  
  
  

As a leader in the trade credit insurance market, Allianz Trade relies on innovative technologies to support its business. We leverage Artificial Intelligence (AI)-powered tools and welcome candidates who have a basic understanding of commonly used AI platforms, as well as a strong awareness of AI-related best practices and challenges in a professional environment.

Full-Time | Temporary

Headquartered in Paris, Allianz Trade is the global leader in trade credit insurance and a recognized specialist in the areas of surety, collections, structured trade credit and political risk, present in over 40 countries with 5,900 employees.