AI Data Scientist

Archirodon , having earned its reputation as a reliable and respected international contractor for more than a half century in the Engineering, Procurement and Construction (EPC) market, continues to create value to its stakeholders by executing complex EPC projects worldwide, in recognition of its superior standards of performance.

We have an outstanding record in completing major Energy, Marine, Infrastructure and Defense & Security projects around the globe and we pride ourselves on delivering over the years the kind of reliability and trust that the client has the right to expect from a major EPC contractor.

Are you ready to travel, be part of and learn from an international dynamic team? Are you an enthusiastic, self-motivated, resourceful and highly skilled professional, looking for a role to get passionate about? Would you like to be part of a dynamic EPC leader with global presence? We’d like to meet you!

As an AI Data Scientist you will be responsible for designing, building, and implementing machine learning and AI models to solve complex business challenges.

What you will need to have

Also, we are proud to share a recent interview we did with Kariera.gr as part of CareerGuide 2025 , where we talk about our latest AI initiatives and how we're integrating innovation into our everyday operations.

👉 Read the full feature here: CareerGuide 2025 - kariera.gr

Requirements

Design, build, and implement machine learning and AI models to solve complex business challenges.; Perform data preprocessing, feature engineering, and model evaluation using large structured and unstructured datasets.; Collaborate with data engineers, software developers, and business stakeholders to understand data requirements and integrate models into production systems.; Develop and test algorithms in areas such as natural language processing (NLP), computer vision, time-series forecasting, and predictive analytics.; Continuously evaluate and optimize model performance, accuracy, and scalability.; Stay current with the latest advancements in AI, machine learning, and data science tools and techniques.; Bachelor's or Master's degree in Data Science, Computer Science, Mathematics, Statistics, or a related field.; Experience in data science, machine learning, or AI development.; Strong background in machine learning algorithms, statistical analysis, and data mining techniques.; Experience with NLP, computer vision, or deep learning is highly preferred.; Proficient in working using tools such as SQL and Azure cloud-based data.; Strong problem-solving skills and ability to work with complex data pipelines.; Experience with data visualization tools Power BI preferably to communicate analytical insights effectively.; Excellent communication skills and ability to explain complex technical concepts to non-technical stakeholders.