Senior Data Scientist​/Machine Learning Engineer

Senior Data Scientist / Machine Learning Engineer

Are you curious and ready to take on a new career challenge? Are you eager to join a dynamic company and bring innovation through your work and skills?

Prometeia S.p.A., a leading provider of software solutions and consulting services for Risk Management, Financial Analysis, and Planning for financial institutions, is expanding its capabilities with an experienced data science team in Türkiye and is seeking a senior Data Science and ML Engineering candidate.

Candidate will be placed on the Data Science and Artificial Intelligence (AI) team, with an entrepreneurial spirit and a focus on not only financial institutions' digitalization processes but also cross-sectoral real‑world applications of AI. The ideal candidate will have strong software engineering and leadership skills.

• Contribute to and lead the end‑to‑end design, development, and validation of Machine Learning (ML) solutions for financial and cross‑sector AI applications.
• Collaborate closely with local and international data scientists, domain experts, and business stakeholders to translate analytical insights into production‑ready solutions.
• Research, prototype, and implement state‑of‑the‑art ML/DL algorithms (including LLMs and generative AI) in real‑world data science problems.
• Lead the integration of resulting systems/software into existing production environments.
• Engage in applied research, co‑author technical papers, and represent Prometeia at data science conferences or academic collaborations.
• Demonstrate agility to multitask and adopt new technologies in a dynamic, research‑driven environment.

• 2‑3 years of academic and/or industry experience in Machine Learning.
• Having a BSc., MSc., or having/pursuing a PhD. degree in Machine Learning, Deep Learning, or related fields of Computer Science and Data Science.
• Proficiency and hands‑on experience in Python programming.
• Experience in developing and maintaining MLOps pipelines.
• Practical experience with one or more of the following frameworks and libraries: pandas, scikit‑learn, matplotlib, PySpark, Tensor Flow.
• Experience in time‑series analysis and working with large‑scale or big data environments.
• Experience working with relational SQL databases.
• Solid understanding of computer science fundamentals, including data structures, algorithms, runtime analysis, and object‑oriented design patterns.
• Experience with Linux/Unix operating systems.
• Experience with code versioning tools (Git).

• Ability to effectively communicate complex analytical findings to both technical and non‑technical audiences.
• Strong presentation and storytelling skills, with an emphasis on clear data visualization.
• Proven team leadership and mentoring abilities, fostering collaboration and knowledge sharing within multidisciplinary teams.
• High attention to detail, structured problem‑solving mindset, and accountability for project delivery.
• Excellent interpersonal skills, with the ability to coordinate across stakeholders and manage priorities in a dynamic environment.

COMPENSATION, WELFARE & BENEFIT

Our history, as well as our future, is based on the value of our people. Prometeia’s most significant investment is in our people, and it concerns every aspect of professional life. We call it “Total Compensation” and it is made of three elements:
Compensation, consisting of a fixed and a variable component; a Welfare Plan active since 2015 – we were among the first companies in Italy to introduce it –; and Benefits, including all initiatives for the well‑being of our people.

REMOTE WORKING

Flexibility is an intrinsic value of our way of working. In Prometeia, remote working is an organizational method based on trust. It results in benefits in terms of work‑life balance, environmental impact, and the optimization of company results through the autonomy and empowerment of people.

PEOPLE PROGRAM

Our evaluation system is based on the full enhancement of our people and on continuous dialogue as a stimulus for regular, mutual professional and personal growth. Within the projects, several moments are dedicated to transparent discussions between…