Direct Assurance

3 Jobs

728 Employees

About the Company

Si on vous dit Direct Assurance, vous aurez peut-être en tête la petite musique en tête « Tutu, tululu » ! Mais savez-vous ce qui se cache derrière cette compagnie d’assurance ? Direct Assurance, c’est le leader français de l’assurance Auto en ligne, qui propose également des contrats Habitation, Moto et Santé, filiale à 100% du Groupe AXA. Pionnière de l'assurance directe, par téléphone et par Internet, Direct Assurance conçoit depuis plus de vingt ans des solutions adaptées aux besoins de ses clients en défendant leur pouvoir d’achat. 1200 conseillers, sur les 1700 collaborateurs que compte Direct Assurance, sont dédiés à l’accueil au quotidien de nos clients et la gestion de leurs sinistres. Direct Assurance est reconnue comme une entreprise responsable qui a toujours une longueur d’avance avec l’innovation et l’accessibilité pour tous les Français, au cœur de ses préoccupations. Un bon exemple : l’offre Youdrive qui permet de faire adopter aux automobilistes français une conduite responsable, et permet de réduire le montant de leur prime d’assurance mensuelle jusqu’à 50%. C’est enfin un accompagnement de carrière, un cadre et une ambiance de travail qui sauront nourrir votre curiosité, votre expertise, votre énergie, sur nos 4 sites de Rennes, Suresnes, Rabat ou Varsovie. Envie d’en savoir plus ? Rejoignez-nous Vous allez aimer grandir à nos côtés !

Listed Jobs

Company Name: Direct Assurance
Job Title: Data Scientist - Actuaire - Stages - Offre groupée - (F/H)
Job Description: **Job Title:** Data Scientist – Actuarial Studies (Stagiaire) **Role Summary:** Drive innovation in actuarial modeling and pricing for auto‑insurance products, improving risk prediction, pricing accuracy, and customer value. Collaborate with cross‑functional teams to develop, validate, and production‑grade machine‑learning models on cloud platforms. **Expectations:** - 3–6 months internship (multiple stage options available, each focused on a specific actuarial domain). - Deliver actionable models that integrate into existing cloud pipelines and demonstrate measurable business impact. - Contribute to continuous improvement of modeling practices in a competitive insurance environment. **Key Responsibilities:** - Research & implement innovative techniques (transfer learning, deep learning, Monte‑Carlo simulation, external data enrichment). - Build, test, and deploy models for severe claim prediction, pricing, fraud detection, and customer conversion. - Design and run POCs to compare model architectures, feature‑engineering strategies, and performance metrics. - Integrate models into production pipelines using Databricks, MLFlow, and CI/CD workflows. - Perform impact, consistency, and drift analyses; generate dashboards for stakeholders. - Translate model outputs into interpretable rules or recommendations that influence product design and pricing. **Required Skills:** - Strong statistical analytics and predictive modeling expertise. - Proficiency in Python (Pandas, scikit‑learn, PyTorch/TensorFlow) and big‑data tools (Spark). - Experience with cloud data platforms (Databricks, Azure/AWS) and experiment tracking (MLFlow). - Familiarity with CI/CD for ML deployments. - Ability to handle large, complex actuarial datasets and perform feature engineering. - Knowledge of simulation methods and external data integration. - Excellent communication skills to explain complex modeling concepts to non‑technical stakeholders. **Required Education & Certifications:** - Bachelor’s or Master’s degree in Statistics, Mathematics, Actuarial Science, Computer Science, or related quantitative field. - Relevant actuarial exams or certifications (e.g., ASA, CERA, or equivalent) are a plus but not mandatory.

Suresnes, France

Hybrid

23-01-2026

Company Name: Direct Assurance
Job Title: Alternance – Data Analyst (F/H)
Job Description: **Job Title:** Data Analyst (Trainee) **Role Summary:** Support business operations through data analysis and reporting to optimize commercial and operational performance. **Expectations:** 2-year trainee position requiring a validated bachelor’s degree (Bac+3) with pursuit of a master’s degree (Bac+5) in data science, engineering, or a related field. **Key Responsibilities:** - Collect, analyze, and integrate internal data from AGD France and external datasets to support production chain insights. - Ensure data reliability for business experts. - Develop and enhance PowerBI reports for performance monitoring. - Automate data processing chains and indicators using Databricks. - Collaborate with business and IT teams to operationalize insights and track KPI impacts. **Required Skills:** - Proficiency in PowerBI, SQL, and Office tools. - Knowledge of data analysis, Python/R programming, and basic data mining. - Familiarity with PySpark preferred. - Strong attention to detail, analytical thinking, and curiosity. **Required Education & Certifications:** - Completed bachelor’s degree (Bac+3) in business, statistics, or engineering. - Pursuing a master’s degree (Bac+5) in data science, computer science, or related disciplines.

Company Name: Direct Assurance
Job Title: Juillet - Stage en actuariat / data science pour la construction des bases en assurance santé (F/H)
Job Description: Job Title: Actuarial/Data Science Internship – Health Insurance Base Construction Role Summary: Conduct data preparation and model base building for pricing optimization of the health insurance product within the technical direction. Work on data deduplication, database construction, competitive analysis, and performance monitoring of conversion and top‑rank rates across segments. Expectations: Deliver clean, deduplicated datasets; create and maintain modeling databases; track segment‑specific conversion and rank metrics; provide data insights for pricing decisions; demonstrate rigorous analytical approach; communicate findings clearly; act autonomously and propose improvements. Key Responsibilities: - Deduplicate simulation data for health product modeling. - Build and maintain databases used for competitiveness and demand modeling. - Monitor and report segmented conversion rates. - Track and analyze segment‑specific rank‑1 thresholds. - Support competitive data analysis and demand forecasting. - Collaborate with cross‑functional teams to refine modeling assumptions. Required Skills: - Strong knowledge of probability, statistics, Generalized Linear Models, and machine learning. - Proficient in Python, R, SQL, and Git; experience with data processing workflows. - Familiarity with Spark is a plus. - High analytical rigor and formal reasoning. - Effective communication and teaching of technical concepts. - Proactive teamwork, motivation, autonomy, and a propensity to propose solutions. Required Education & Certifications: - Current student of a top engineering school or program in Actuarial Science, Data Science, Statistics, or Economics (e.g., École Polytechnique, Centrale, ENSAE, ESSEC, ISUP).

Suresnes, France

Hybrid

13-03-2026