Location: [Rome/Hybrid]

Department: Environment and Energy

Employment Type: Full-time

Seniority Level: entry or mid-level

What we are looking for:

A highly adaptable data analyst and scientific modeller who enjoys working at the intersection of theory, data, and innovation. Curious and pragmatic who excels at bringing structure to complex, abstract challenges and equally comfortable with mathematical modelling as well as collaborating cross-functionally and translating technical insights for non-expert stakeholders.

Tasks will include:

- Transform business or scientific challenges into well-structured quantitative questions suitable for mathematical modelling, with a pragmatic approach to problem-solving.
- Develop, validate, and interpret theoretical and numerical models across domains, from aviation to renewable energy systems, from operational safety to social impact.
- Partner with multidisciplinary teams (engineers, scientists, business leads) to integrate modelling outputs into core decision-making frameworks.
- Apply Machine Learning and AI techniques where relevant to enhance predictive power, optimise systems, or uncover patterns in complex datasets.
- Present technical results effectively through clear written reports, visualisations, and oral presentations tailored to both expert and non-expert stakeholders.
- Adapt quickly to new domains, tools, and methodologies with curiosity and analytical rigor.

Required Qualifications:

- Master Degree in Physics, Mathematics, Computer Science, Engineering, or another relevant STEM field.
- Proven experience in theoretical and numerical modelling, with a strong ability to formulate ambiguous, real-world problems mathematically and solve them using computational methods.
- Ability to operate outside the primary domain of expertise, abstracting methods from one field (e.g., physics, engineering) and adapting them to solve problems in unfamiliar domains.




- Fluency in English (written and spoken), with a track record of translating complex technical concepts for diverse audiences.
- Proficiency in at least one of the following programming languages: Python, R, Java.

Preferred Qualifications:

- Advanced degree (PhD preferred) in Physics, Mathematics, Computer Science, Engineering, or another relevant STEM field. Alternatively, professional experience applying ML/AI models to real-world datasets or scientific problems.
- Domain expertise in one or more of the following areas:
- Earth Observation and satellite data analysis
- Renewable Energy Systems modelling
- Climate science and risk assessment
- Socio-economic or impact modelling
- Record of research publications, technical reports, or contributions to open-source analytical tools.

Who we are:

- Deep Blue (www.dblue.it) distinctive approach is a strong user-centred focus. In the context of this job position, we are working together with end-users – aircraft and ship designers, manufacturers and operators – to explore the opportunities offered by data analysis and modelling, by trying out different approaches and running data-driven exercises to assess the benefits, for the efficiency and safety of operations.
- Our current projects concern the analysis of operations via risk models and safety analyses, for air traffic control, in-flight loss of control of aircraft, collisions and grounding of ships.
- Deep Blue is the first Italian small-medium enterprise for EU research projects. We do research, consultancy and training for organisations like EUROCONTROL,



IATA, and the European Space Agency. We also support the design of User-Centred solutions in manufacturing industries (Industry 4.0).

What we offer:

- Young, multi-disciplinary team of 80+ persons, where peer-to-peer learning and exchange is encouraged.
- Involvement in high impact, high quality international projects with the most renowned European academic experts and companies.
- Flexibility in working hours and location (policy of 10 working days of presence in the office). Opportunity for business trips, domestic and international.

Applications (CV and cover letter) can be sent to [email protected] (subject: Job Offer Data analyst and modeller).The position is open to all genders (Law 903/77). Interested candidates can send their CV and cover letter with authorization for the processing of personal data (EU Regulation 2016/679)

We value diversity as an important asset that enriches our culture and helps us to collaborate more effectively with clients and partners in European projects. Deep Blue is committed to create an inclusive work environment that welcomes and supports diversity in all forms and encourages sharing input from all perspectives. We provide equal employment opportunities to all qualified applicants independently of individual and personal characteristics including gender, age, political or religious views, sexual identity and orientation, ethnicity and nationality.

This means equal opportunity not only with regard to hiring and recruitment processes but also with regard to compensation, promotion, benefits and other terms and conditions of employment. To solidify our values and commitment to foster an equal and inclusive culture and work environment, in 2024, we adopted the Gender Equality Plan: a set of concrete actions aimed at promoting gender equality and social inclusion within the organization.

📌 Data Analyst and Modeller (Roma)
🏢 Deep Blue
📍 Roma