Senior Data Scientist - AI/ML & NLP for Insurance

Sotalent

Boulogne-Billancourt

Vor Ort

EUR 60.000 - 90.000

Vollzeit

Vor 3 Tagen
Sei unter den ersten Bewerbenden

Eine vollständige Bewerbung in einer Minute

Maßgeschneiderter Lebenslauf und Anschreiben – versandbereit.

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Zusammenfassung

Sotalent in Île-de-France is seeking an experienced Data Scientist to develop and deploy ML/AI solutions within a multidisciplinary data team in the insurance sector.

The role spans the full data science lifecycle, from identifying business use cases to deploying models, with projects covering customer experience, distribution, operational efficiency, fraud prevention and process improvement.

Qualifikationen

  • Master's degree in Data Science, AI, ML, Engineering or related field.
  • At least three years of experience as a Data Scientist.
  • Experience taking ML models through industrialisation and production deployment.
  • Knowledge of ML, predictive modelling, NLP and MLOps.
  • Experience or interest in generative AI and LLMs is an advantage.

Aufgaben

  • Identify business challenges and opportunities for data science and AI applications.
  • Collect, explore and analyse data to support business requirements.
  • Design, develop and improve machine learning and predictive modelling solutions.
  • Contribute to the industrialisation and production deployment of models using MLOps practices.
  • Work on NLP and generative AI applications.
  • Integrate data science solutions into business processes and tools.
  • Ensure models meet development, security and compliance standards.
  • Support effective, strategic and secure data management.
  • Monitor developments in data science and AI.
  • Collaborate with business stakeholders to promote data-driven decision-making.

Kenntnisse

Python
SQL
GitLab
MLOps
NLP
ML
Generative AI
LLMs
Predictive modelling

Ausbildung

Master's degree (Bac+5) in Data Science / AI / ML / Engineering

Tools

GitLab

Jobbeschreibung

Sotalent in Île-de-France is seeking an experienced Data Scientist to develop and deploy ML/AI solutions within a multidisciplinary data team in the insurance sector.

The role spans the full data science lifecycle, from identifying business use cases to deploying models, with projects covering customer experience, distribution, operational efficiency, fraud prevention and process improvement.

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