Data Scientist – LHH
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Client Description
Global company specialising in risk and reinsurance, focused on risk correction solutions and capital solutions.
Candidate Profile :
- 5+ years of experience developing and deploying ML models in production environments.
- Strong expertise in Python data science libraries : pandas, scikit-learn, numpy, and deep learning frameworks (TensorFlow, PyTorch, Hugging Face).
- Proficiency in SQL for data manipulation and analysis.
- Ability to write production-quality code following engineering best practices (unit testing, code reviews, CI / CD).
- Exceptional analytical skills and intellectual curiosity.
- Hands-on experience with AI / ML technologies such as LLM inference, similarity search, vector databases, guardrails, and memory systems.
- Advanced level of English.
Responsibilities :
Incorporate cutting-edge business intelligence, machine learning, and alternative data practices to drive efficiency and revenue.Own the full model lifecycle : data wrangling, development, training, deployment, and monitoring.Stay up to date with ML / AI innovations and apply them strategically to enhance business and data strategy.Build and improve internal ML / AI packages and tooling.Establish and maintain strong relationships with internal teams and external clients.Evangelize ML / AI techniques and best practices across analytics and engineering teams.Seniority level : Mid-Senior level
Employment type : Full-time
Job function : Engineering and Information Technology
Industries : Human Resources Services
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