Hybrid Data Science Internship: AI for Insurance

Shift Technology

Paris

Hybrid

EUR 20,000 - 24,000

Full time

3 days ago
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Benefits offered by this job

Flexible remote/hybrid working options
Competitive salary with variable bonus
Learning & Development opportunities

Job summary

Shift Technology, a leading AI platform for insurance, seeks a Data Scientist Intern in Paris for a 6-month program. You will build data pipelines, perform information extraction, and calibrate fraud-detection models while collaborating with clients to tailor solutions.

You will participate in ML and NLP research, image analysis, trend analysis, and chatbots development, supporting sales demos and contributing to the data science product lifecycle.

Qualifications

  • Master's degree student in Mathematics, Statistics, Computer Science, Machine Learning or Big Data.
  • Can provide an internship agreement (Convention de stage) for 6 months.
  • Experience in object-oriented programming (OOP).
  • Comfortable dealing with clients.
  • French fluent and able to communicate in English.
  • Internship start around February/March 2027 for 6 months.

Responsibilities

  • Set up and deploy data processing pipelines (batch/real-time), data cleaning, information extraction and calibration of fraud-detection models.
  • Collaborate with clients to understand needs and incorporate feedback into solutions.
  • Conduct R&D in ML, NLP, image analysis, trend analysis and chatbots to drive product innovation.
  • Support the sales team by participating in prospect demos.
  • Contribute to an end-to-end Data Science product lifecycle with cross-functional teams.

Skills

OOP experience
Client interaction
English proficiency
French fluent

Education

Master's degree student in Mathematics/Statistics/CS/ML/Big Data

Tools

Python
Pandas
Scikit-learn

Job description

Shift Technology, a leading AI platform for insurance, seeks a Data Scientist Intern in Paris for a 6-month program. You will build data pipelines, perform information extraction, and calibrate fraud-detection models while collaborating with clients to tailor solutions.

You will participate in ML and NLP research, image analysis, trend analysis, and chatbots development, supporting sales demos and contributing to the data science product lifecycle.

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