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6 дней назад

Data Scientist Senior Analyst (AI Healthcare)

Формат работы
hybrid
Тип работы
fulltime
Грейд
senior
Английский
b2
Страна
Spain
Вакансия из списка Hirify.GlobalВакансия из Hirify Global, списка международных tech-компаний
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Описание вакансии

Текст:
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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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