Manager - Data Science​/Machine Learning

Manager - Data Science / Machine Learning

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

Prometeia, a leading provider of software solutions and consulting services for Risk Management, Financial Analysis, and Planning for financial institutions, is extending its capabilities by creating a data science team in Turkey region and is looking for a manager within the areas of Data Science and ML Engineering.

The candidate will be placed in the team of Data Science and Artificial Intelligence (AI) with an entrepreneurship soul 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 managerial/leadership skills and software engineering principles.

• Leading the end-to-end design, development, and validation of Machine Learning (ML) solutions for financial and cross-sector AI applications
• Coordinate activities with clients, prepare project time plans, manage tasks, and oversee the timely delivery of outputs
• Collaborate closely with local and international data scientists, domain experts, and business stakeholders to translate analytical insights into production-ready solutions
• Lead and mentor project teams of senior and/or junior data scientists
• Stay up to date with the literature; research, prototype, implement, and evaluate state-of-the-art ML/DL algorithms (including LLMs and Generative AI) for real-world data science problems
• Identify digitalization opportunities in client workflows, propose the right analytical approach, and present results clearly to clients
• Demonstrate agility to multitask and adopt new technologies in a dynamic, research-driven environment
• Engage in applied research, co-author technical papers, and represent Prometeia at data science conferences or academic collaborations.

• Bachelor’s, Master’s, or PhD degree (completed or in progress) in Machine Learning, Deep Learning, Computer Science, Data Science, or a related field
• 3-4 years of strong academic and/or industry experience in Data Science and AI

• Domain experience in risk and marketing analytics is a plus
• Proficiency and hands-on experience in Python programming
• Practical experience with one or more of the following frameworks/libraries:
  Tensor Flow, Keras, PyTorch, PySpark, pandas, scikit-learn
• Know-how on container platforms and cloud/on-prem deployment (Docker, Kubernetes) is preferred
• Experience in relational SQL and No
  
  SQL (Redis, Mongo DB, Cassandra) databases
• Strong understanding of object-oriented programming principles
• Computer science fundamentals in data structures, algorithms, run-time analysis, object oriented design patterns
• Experience in Linux/Unix operating system
• 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.

Location TBD in Turkey region.

Our history, as well as our future, is based on the value of our people. Prometeia’s biggest 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.

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…