6 дней назад
Data Scientist Senior Analyst (AI Healthcare)
Мэтч & Сопровод
Для мэтча с этой вакансией нужен Plus
Описание вакансии
Текст:
TL;DR
Data Scientist Senior Analyst (AI Healthcare): Translating healthcare and health insurance data into predictive, prescriptive, and AI-enabled analytics solutions with an accent on provider strategy, network optimization, data quality, and responsible AI. Focus on building RAG knowledge bases and agent-assisted analytics, designing provider datasets, and applying governance and regulatory principles such as the EU AI Act.
Location: Madrid, Spain; hybrid working environment
Company
Global health service organization focused on improving healthcare access, outcomes, and customer well-being across more than 30 countries.
What you will do
- Partner with Product Owners and business stakeholders to identify healthcare and provider-related challenges and define suitable analytical approaches.
- Design and implement predictive and prescriptive analytics for provider engagement, network optimization, and care delivery outcomes.
- Deliver analytics and data products in an agile environment with cross-functional teams.
- Develop and maintain domain-aligned knowledge bases for RAG, agent-assisted analytics, and insight generation use cases.
- Design, curate, and maintain provider datasets with strong data quality, completeness, and consistency.
- Measure and communicate the business value of analytics and AI-enabled data products while supporting regulatory compliance and responsible AI practices.
Requirements
- Degree in Data Science, Statistics, Computer Science, Engineering, or a related discipline.
- Knowledge of ICD and its application in healthcare and health insurance analytics.
- Hands-on experience with Python for data analysis and modeling.
- Experience with SQL and NoSQL databases, cloud-based analytics platforms, AWS services, and Databricks.
- Understanding of foundation models, prompt engineering, agent engineering, and RAG-based analytics workflows.
- Strong English communication skills and knowledge of EU AI Act principles, including data governance, transparency, risk management, and human oversight.
Nice to have
- Additional language capabilities beyond English.
- Experience in regulated environments.
- Experience with AI-enabled analytics in healthcare or health insurance.
- Experience with RAG-based solutions and agent-assisted analytics.
Culture & Benefits
- Multicultural and hybrid working environment.
- Private medical insurance.
- Employee well-being benefits.
- Educational development program.
- Opportunity to contribute to innovative analytics and AI initiatives in global healthcare.
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