Job Search and Career Advice Platform
  • Jobs
  • Headhunters
  • Free resume review
  • About Us
EN
1 857

Data Analyst jobs in France

Data Scientist

Descartes Underwriting Old

Quartier Boieldieu
On-site
EUR 40,000 - 60,000
12 days ago
I want to receive the latest job alerts for “Data Analyst” jobs

Head of Data & AI Strategy for Retail

Groupe Fnac Darty

Ivry-sur-Seine
On-site
EUR 90,000 - 120,000
12 days ago

Data scientist (H / F)

Groupe Fnac Darty

Ivry-sur-Seine
On-site
EUR 90,000 - 120,000
12 days ago

Stage Analyste de Données — Dashboards et Reporting

American President Lines

Marseille
On-site
EUR 40,000 - 60,000
12 days ago

Stage - Analyste de données

American President Lines

Marseille
On-site
EUR 40,000 - 60,000
12 days ago
discover more jobs illustrationDiscover more opportunities than anywhere else. Find more jobs now

Data engineer (H/F)

AMILTONE

Villeurbanne
On-site
EUR 30,000 - 45,000
12 days ago

AWS Gen AI Specialist - Reply

Reply

Paris
On-site
EUR 45,000 - 75,000
12 days ago

Data Engineer dbt (confirmé/sénior) - H/F - CDI

Talan

Paris
Hybrid
EUR 45,000 - 60,000
13 days ago
HeadhuntersConnect with headhunters to apply for similar jobs

Senior Data Scientist

Bigblue

Paris
On-site
EUR 65,000 - 95,000
13 days ago

Expert(e) Solutions Achats — Data & SAP (Nantes)

EQUANS

Nantes
On-site
EUR 40,000 - 60,000
13 days ago

Senior Data & AI Transformation Consultant — Remote

Julhiet Sterwen

France
Remote
EUR 50,000 - 70,000
13 days ago

Data Engineer (m / f) (réf. E00039157)

GovJobs

Metz
On-site
EUR 50,000 - 70,000
13 days ago

Azure Data Engineer FH

Devoteam

Nantes
On-site
EUR 60,000 - 80,000
13 days ago

Junior BI Consultant: Data & Decision Analytics

Business & Decision

Grenoble
On-site
EUR 35,000 - 50,000
13 days ago

Lead Data Scientist – Pricing Strategy & Growth

AXA Group

Suresnes
On-site
EUR 60,000 - 80,000
13 days ago

Manager Data Scientist - F / H

AXA Group

Suresnes
On-site
EUR 60,000 - 80,000
13 days ago

Consultant Transformation Banque et Assurance - Data/IA

CGI

Paris
Hybrid
EUR 45,000 - 55,000
13 days ago

Data scientist Expérimenté (H / F) (CDI)

MANPOWER FRANCE

Poitiers
On-site
EUR 50,000 - 70,000
13 days ago

Lead Data Scientist – AI/ML, MLOps & Team Leader (Remote)

MANPOWER FRANCE

Poitiers
On-site
EUR 50,000 - 70,000
13 days ago

International Regulatory Risk Data Scientist (IFRS9/Basel)

ONEY

Croix
On-site
EUR 70,000 - 90,000
13 days ago

Data Engineer H/F

Experis France

Lyon
On-site
EUR 40,000 - 60,000
13 days ago

Azure Data Engineer — Remote, Growth & Perks

Experis France

Lyon
On-site
EUR 40,000 - 60,000
13 days ago

Expert Solutions Achats – Données & SAP/COUPA

Equans

Nantes
On-site
EUR 35,000 - 50,000
13 days ago

DEEP - Data Engineer

POST Luxembourg

Metz
On-site
EUR 55,000 - 75,000
13 days ago

Data Engineer HF

NEXTON

Lyon
On-site
EUR 45,000 - 60,000
13 days ago

Top job titles:

Interim jobsPolyvalente jobsOfficer jobsHotesse De Caisse jobsMacon jobsAeronautique jobsImprimerie jobsDecor jobsExpert Comptable jobsIngenieur En Informatique jobs

Top companies:

Jobs at GoogleJobs at RenaultJobs at Banque PopulaireJobs at FranprixJobs at UgcJobs at RichemontJobs at AdeccoJobs at GlaxosmithklineJobs at ManpowerJobs at Sodebo

Top cities:

Jobs in LilleJobs in Aix En ProvenceJobs in BrestJobs in OrleansJobs in Le HavreJobs in BesanconJobs in NanterreJobs in La RochelleJobs in PoitiersJobs in Colmar

Similar jobs:

Database jobsData Scientist jobsAnalyste Financier jobsData Manager Clinique jobsData Scientist Junior jobs
Data Scientist
Descartes Underwriting Old
Quartier Boieldieu
On-site
EUR 40,000 - 60,000
Full time
12 days ago

Job summary

A climate risk insurance firm based in France is seeking Data Scientists to join their expanding team. The role involves developing climate models and forecasting tools, contributing to algorithms and risk models for B2B clients. Candidates should have backgrounds in computer science, statistics, or meteorological studies, with proficiency in Python and machine learning. Successful applicants will work in a dynamic, international environment committed to resilience against climate challenges.

Benefits

Opportunity to work with top data scientists
Commitment to continued learning and development
Collaborative professional environment

Qualifications

  • Masters student in computer science, applied mathematics, statistics or meteorological studies.
  • Ideally a previous experience (long-term internship) in data science or climate modelling.
  • Proficient in statistics, applied mathematics and machine learning methods.

Responsibilities

  • Improve or develop algorithms and risk models for B2B clients.
  • Identify and deploy statistical methods to differentiate from competitors.
  • Participate in development of technological platform.

Skills

Statistics
Machine Learning
Python
Applied Mathematics
Data Science

Education

Master's degree in computer science, applied mathematics, statistics or meteorological studies
PhD in physics or applied mathematics
Job description

WHO WE ARE | Founded in 2018 and headquartered in Paris, Descartes Underwriting was born of the conviction that climate change calls for a revolution in the insurance industry to better protect individuals, businesses, and governments. We provide data-driven insurance products based on satellite imagery and IoT to protect corporate and public sector clients against climate risk and natural catastrophes. Following a Series A funding of 18m USD in September 2020, we opened offices in New York, Houston, Singapore, Sydney and London. Today, Descartes’ ambitious and international team of 40+ is proud to protect 100+ clients – several from the Fortune 500 – in 60+ countries.

OUR PURPOSE | Losses from catastrophes and man-made disasters are likely to increase year after year due to demographic density and climate change. We firmly believe that the insurance sector can and must play a critical role in helping enterprises and individuals cope with climate risk. This will require, however, a deep transformation of the sector, as current insurance products often lack transparency, carry expensive premiums, and come with slow claims processing.

OUR APPROACH | True to our namesake, René Descartes, one of the greatest European scientific philosophers of the 17th Century, our company draws a distinct advantage in challenging the approach adopted by traditional insurers. Utilizing forward-looking models and real-time monitoring from satellite imagery, IoT and big data analytics, Descartes’ products help businesses bounce back faster. In collaboration with our partners, our parametric insurance products can serve clients across the globe, from mid-size tickets to EUR +100 million.

Job Description

Due to rapid growth we are seeking to expand our Data Science team, either across our Underwriting or our R&D functions. At the core of our company’s strategy, your missions will focus on making direct contributions to the development of new climate models or forecasting tools.

KEY MISSIONS

If you join the underwriting team, your key missions will include:

  • Improving or developing new algorithms, new risk models and products for our B2B clients
  • Identifying, implementing and deploying new statistical and machine learning methods to differentiate Descartes from its competitors
  • Participating in the development of Descartes’ technological platform
  • Collaborating with the business team to understand client needs and issues to further strengthen our technical excellence
  • Taking on management responsibilities as both you and the company develop
  • Participating in our R&D sessions
  • Working autonomously and pragmatically to make appropriate technical decisions

If you join the R&D team, your key missions will include:

  • Improving or developing new models to improve our understanding of climate risks with a special focus on wildfires or floods
  • Conducting research on the modelling of climate risks and machine learning methods
  • Identifying new and innovative ideas and testing state-of-the-art methods from scratch based on recent research articles
  • Collaborating with the underwriting and business teams to ensure our products are efficiently integrated into the underwriting process and meet our client’s needs
  • Working autonomously and pragmatically to make appropriate technical decisions
Qualifications

EXPERIENCE & SKILLS

Underwriting Data Scientist

  • Masters student in computer science, applied mathematics, statistics or meteorological studies
  • Ideally a previous experience (long-term internship) in data science or climate modelling
  • Proficient in statistics, applied mathematics and machine learning methods
  • Capable of building high-performance algorithms
  • Proficiency in Python (e.g. scikit-learn)

R&D Data Scientist

  • Research-oriented Master’s Degree or PhD in physics, applied mathematics, or meteorological studies
  • Multi-disciplinary curriculum, with strong skills in statistics, applied mathematics and machine learning methods
  • Ideally a previous experience in climate modelling or data science
  • Proficiency in Python

LANGUAGES

  • Fluency in English (written and verbal communication) required
  • Good command of one additional language (e.g. Chinese, French, Italian, German, Spanish…) valued

MINDSET

Interested in weather and natural perils modelling (wildfires, hail, tsunamis, earthquakes etc)

Strong team spirit and ability to work under pressure

Highly motivated, able to meet deadlines set

Strong desire to learn and commitment to the organization’s mission

Results oriented, high energy, with the ability to work in a dynamic and multi-cultural environment

Motivated to help improving businesses’ and communities’ resilience to climate change

Eagerness to work in an international environment

Additional Information

WHY JOIN DESCARTES UNDERWRITING?

Opportunity to work and learn with top data scientists from the most prestigious schools and research labs in France, allowing you to progress towards technical excellence

Commitment from Descartes to its staff of continued learning and development (think annual seminars, training etc.)

Work in a collaborative & professional environment

Be part of an international team, passionate about diversity

Benefit from a referral scheme for successfully referring peers

RECRUITMENT PROCESS

Step 1: Call with our Talent Recruiter, Aicha

Step 2: Technical online test

Step 3: In-person interview with a Data Scientist

Step 4: In-person interview with Head of our R&D or Underwriting

Step 5: Final round interview with our CEO & Data science team (this stage is for full time roles only)

  • 1
  • ...
  • 43
  • 44
  • 45
  • ...
  • 75

* The salary benchmark is based on the target salaries of market leaders in their relevant sectors. It is intended to serve as a guide to help Premium Members assess open positions and to help in salary negotiations. The salary benchmark is not provided directly by the company, which could be significantly higher or lower.

Job Search and Career Advice Platform

Empoweringjob seekers

Tools
  • Jobs
  • Resume review
  • Headhunters
  • Browse jobs
Company
  • About us
  • Careers at JobLeads
  • Site notice
  • Press
  • Reviews
Support
  • Help
  • Partner integration
  • ATS Partners
Social
  • JobLeads Blog
  • YouTube
  • LinkedIn
  • Instagram
  • Facebook
  • Privacy Policy
  • Terms of Use

© JobLeads 2007 - 2025 | All rights reserved