About the role
Deep Blue is hiring a Data Analyst and Scientific Modeller for its Environment and Energy area in Rome. The role turns business and scientific challenges into quantitative questions, develops and validates theoretical and numerical models, and communicates findings to technical and non-technical stakeholders. Applications span domains such as aviation, renewable energy, operational safety, and social impact.
You will collaborate with multidisciplinary teams and apply machine learning or AI where it strengthens prediction or reveals useful patterns. The source asks for a relevant STEM master's degree, practical mathematical and computational modeling experience, fluent English, and proficiency in Python, R, or Java. A PhD, domain expertise, publications, or open-source analytical contributions are advantages. The advertised experience range covers entry or mid-level candidates, so no single seniority band is asserted.
Highlights
- Build and interpret scientific and quantitative models
- Collaborate across research, engineering, and business teams
- Use Python, R, or Java for analytical work
- Hybrid work in Rome with an office-attendance policy
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