Data Scientist - Lisbon

Marsh

Lisbon, Portugal
Hybrid (3 days in office, 2 days remote)
Python for data analysis
Sql and nosql databases
Statistical and machine learning models
Marsh is seeking a Data Scientist in Lisbon with expertise in data science, statistical modeling, and machine learning, alongside practical software engineering skills. The role involves developing actionable insights from complex data, collaborating with stakeholders, and operationalizing analytics. The position emphasizes a hybrid work environment, promoting flexibility and collaboration

Job Summary

  • The Data Scientist is responsible for turning complex data into actionable insights and deployable models that enable users to operationalize analytics in meaningful ways.
  • Key responsibilities include partnering with stakeholders to identify high-impact opportunities, developing and validating statistical and machine learning models, and translating model results into clear narratives.
  • Marsh is committed to creating a diverse, inclusive and flexible work environment with a hybrid work model, expecting colleagues to be in the office at least three days per week.

Matching Summary

Match Score: 85

Marsh is seeking a Data Scientist in Lisbon with expertise in data science, statistical modeling, and machine learning, alongside practical software engineering skills. The role involves developing actionable insights from complex data, collaborating with stakeholders, and operationalizing analytics. The position emphasizes a hybrid work environment, promoting flexibility and collaboration.

Skills & Requirements

Must-have

  • Python for data analysis
  • SQL and NoSQL databases
  • statistical and machine learning models
  • reproducible data science assets
  • Git, CI/CD, Agile collaboration

Nice-to-have

  • modern ML libraries and workflows
  • Databricks for ML
  • problem-solving and critical thinking
  • innovation and self-starter
  • relationship building and influencing

Key Requirements

  • Bachelor’s degree or equivalent practical experience
  • 3+ years of professional experience
  • Strong Python experience
  • Solid foundation in statistics
  • Hands-on experience with SQL
  • Experience operationalizing analytics
  • Comfortable with Git, CI/CD concepts

Work Rights

Not specified

Tailored Resume

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