Senior Data Scientist – AI
vor 4 Wochen
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Client:Experis
Location:Zurich
Job Category:Other
Job Reference:a44290d15a1f
Job Views:3
Posted:14.03.2025
Expiry Date:28.04.2025
Job Description:Company Overview
A leading organization leveraging artificial intelligence to address real-world societal challenges. As a center of excellence for social insurance in Zurich, this company is committed to digitalization and AI-driven solutions to enhance services. They are seeking a Senior Data Scientist to play a pivotal role in shaping data science strategies, developing AI models, and acting as a bridge between key stakeholders.
If you're looking for a role with significant responsibility, creative freedom, and real-world impact, this opportunity is for you
Key Responsibilities- Define and drive the strategic direction of data science and AI initiatives.
- Develop AI solutions in areas such as pension advisory, risk assessment, and fraud detection.
- Lead end-to-end projects, from data exploration to model deployment.
- Act as a key interface between IT teams, business units, and external partners.
- Build partnerships with research institutions and industry stakeholders.
- Coach and mentor junior data scientists and analysts, fostering a strong data culture.
Educational Background - University degree in Computer Science, Statistics, Mathematics, or a related field.
Data Science & Machine Learning Expertise - 3+ years of experience in data science, AI, or ML, ideally in a leadership role.
Technical Proficiency - Strong knowledge of Python or R and machine learning libraries.
Data Management - Experience with databases, data warehouses, and BI tools.
Communication Skills - Ability to translate technical insights into business-friendly narratives.
Industry Experience (Bonus) - Familiarity with social security data or medical records is a plus.
Competitive salary & benefits package
Opportunities for continuous learning & professional development
Impactful work with real societal contributions
Hybrid work model (on-site in Zurich & remote flexibility)
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