EVERIENCE is looking for a confirmed Data Analyst / Data Scientist to join our team. You will analyze and cross-reference system data to improve the detection of anomalies, inconsistencies, and potential fraud cases, contributing to the security of critical business processes.
What You'll Do
- Take ownership of data and analyze its impact within the information system.
- Identify inconsistencies, anomalies, and breaks in data flows.
- Understand sensitive business processes related to fraud detection.
- Implement use cases focused on prediction, targeting, and fraud analysis.
- Perform statistical and exploratory analysis on massive datasets.
- Develop detection models (supervised / unsupervised).
- Design and maintain data processing scripts using Python, PySpark, and SQL.
- Produce reusable and documented elements (pipelines, modules, notebooks).
- Utilize the client's Big Data Hadoop ecosystem.
- Create Power BI dashboards and clear presentations.
- Communicate complex results effectively to business teams.
- Contribute to the continuous improvement of fraud detection tools.
What We're Looking For
- 3 to 7 years of experience in Data Analysis or Data Science.
- Strong skills in Python, SQL, PySpark, and Big Data environments.
- Proficiency in advanced analytics, modeling, and data presentation.
- Ability to understand business processes, work with functional experts, and simplify results.
- Excellent communication, service mindset, rigor, and autonomy.
Nice to Have
- A first experience in fraud detection, compliance, or sensitive data quality.
Technical Stack
- Hadoop, Python, PySpark, SQL, Power BI, PowerPoint
Team & Environment
You will join an experienced team dedicated to leveraging data and securing critical business processes, reporting to the Data Analysis team.
Benefits & Compensation
- 50% health insurance coverage
- 50% transport coverage
- Restaurant vouchers (€9.50, 60% coverage)
- €1,000 employee referral bonus
- Social and Economic Committee (CSE)
- 2-week onboarding program
- Training opportunities
- Mobility support
- Close-knit, collaborative team
- Stability and growth opportunities
Work Mode
This position follows a hybrid work model and is based in France.
Tous nos postes sont ouverts aux personnes en situation de handicap.



