Descartes Underwriting propose des opportunités professionnelles visibles dans le catalogue Screeningpass, avec leurs informations de contrat, de localisation et de candidature.
Analytics & Process Engineer - Intern
Descartes Underwriting recrute un Analytics & Process Engineer en stage de fin d’études à Paris, au sein de l’équipe du Chief of Staff to the Chief Scientific Officer. La mission combine analyse de données, business intelligence, optimisation des processus et intégration de solutions d’IA, avec des compétences en SQL, Python, Excel et outils BI appréciées. Un master en école d’ingénieurs ou à l’université ainsi qu’une maîtrise du français et de l’anglais sont requis.
Repères sur Descartes Underwriting
- Secteur
- Banque et services financiers
- Siège
- Paris
- Domaine officiel
- descartesunderwriting.com
- Création
- 2019 · 7 ans
- Effectif public
- 250 employés
- Offres ouvertes
- 7
Détails de l’offre
La description complète publiée par Descartes Underwriting.
About descartes underwriting
Join Descartes and contribute to our mission: Building Resilience in a World at Risk. Descartes is a corporate insurance group for worldwide companies and institutions. Descartes was born from a conviction that the growing complexity of corporate and climate risks demands a new approach to insurance. At the forefront of AI and Data analysis, Descartes utilises cutting-edge technology combined with a new generation of data sources, to model, assess and manage risks.
Since 2019, Descartes has secured a leading position in parametric (re)insurance combining scientific & technological expertise with a new approach. Parametric insurance , also known as index-based insurance, indemnifies clients within days based on pre-defined payout structures when a specific triggering event occurs, the payout process is both fast and transparent. The company has been financed with over $141M by investors including Highland Europe, BlackFin, Serena, Cathay, Eurazeo and Battery Ventures.
Our highly diverse and specialized team of 250+ people includes the largest modelling team in the industry featuring tech and modeling innovators, scientists in physics and climatology, as well as insurance veterans and underwriters. With a global footprint and strong US presence, Descartes serves a diverse portfolio of clients in more than 60 countries, with 20+ offices spread across Europe, Asia-Pacific, Latin and North America. Find out more on https://descartesunderwriting.com/careers .
About you
R ROLE To support our rapid growth, we are looking for an Analytics & Process Engineer end-of-study intern to join the team of the Chief of Staff to the Chief Scientific Officer. In this role, you will work at the intersection of tech and business, collaborating with teams across Data Partners, Reinsurance, Underwriting, and Operations. Your main objective would be to support Descartes scaling by building data monitoring systems, optimizing operational processes, and turning data into actionable suggestions.
You will own your projects end-to-end from scoping business needs, designing solutions to hands-on implementation and presenting results.
At the core of our company’s activity, your missions will focus on : Data Analysis & Business Intelligence : Build and monitor key business metrics including data governance & quality, partner performance, and budget & expense tracking in order to drive more efficient decision-making; Process Optimization : Map out existing workflows and eliminate unnecessary complexity in processes to focus on what drives real impact; Knowledge
Architecture : Structure a streamlined knowledge base to provide the team with instant access to essential information; AI Integration : Identify and deploy AI solutions, or other tools, to automate workflows and maintain efficiency as the team scales; Proactive Problem Solving : Identify process bottlenecks and pitch your own ideas as you gain a better understanding of the business.
Your missions will evolve in the future as Descartes is growing fast and many exciting projects are waiting for you. It's a unique opportunity to take a closer look inside a fast-growing company while driving tangible operational changes !
About you
EXPERIENCE &
Qualifications
Current master’s degree from an Engineering school or University; Prior experience or projects in Data Analytics, Business Intelligence, Data Engineering or Data science. SKILLS Fluency in French and English is required ; Notions in SQL, Python, Excel and BI tools are a plus.
MINDSET Fast Learner: Curious with the ability to get up to speed quickly on unfamiliar topics; Analytical Mindset: Strong problem-solving ability with a good architectural vision and a drive to always dig deeper to understand the "why"; Tech & AI Enthusiast: "Test and learn" mindset with a strong interest in leveraging AI tools and modern tech to solve problems; Detail-Oriented: Strong execution skills with attention to quality, accuracy, and clear deliverables;
Why join descartes underwriting
Technical Excellence: Work and learn alongside top-tier scientists and engineers from world-class institutions and research labs. Real Impact: Join a company with a true purpose and directly contribute to solving global climate resilience challenges using cutting-edge data. Dynamic Culture: Thrive in a collaborative, fast-growing scale-up driven by our core value of diversity and openness across international teams. Perks &
Benefits
Competitive internship stipend, meal vouchers (Swile), 60% public transport reimbursement. At Descartes Underwriting, we cherish value of diversity whatever it may be. We are committed to fighting against all forms of discrimination and for equal opportunities. We foster an inclusive work environment that respects all differences. With equal skills, all our positions are open to people with disabilities.
Recruitment process
Step
- HR Interview with our Talent Recruiter Step
- Remote manager interview Step
- In person technical interview Step
- In person team interview to meet the team and discover our offices
Prérequis
- Current master’s degree from an Engineering school or University
- Prior experience or projects in Data Analytics, Business Intelligence, Data Engineering or Data science
- Strong problem-solving ability
- Attention to quality, accuracy, and clear deliverables
Avantages mentionnés
- meal vouchers (Swile)
- 60% public transport reimbursement
- competitive internship stipend
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