AI Data Scientist
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AI Data Scientist
Location
Anatoliki Attiki, , Greece
Experience
Mid
Posted
Jul 10, 2026
Apply by
August 9, 2026
Applicants
0
Early applicantEasy applyFull-timeHybrid
Job Description
## Company Description
[Archirodon](http://www.archirodon.net/), 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!
## Job Description
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 do:
- 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.
## Qualifications
What you will need to have:
- 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.
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](https://resources.kariera.gr/publications/careerguide2025/#flipbook-df_42486/64/)
## Additional Information
What’s in it for you:
Competitive salary and benefits are part of the offering, yet the real joy comes from being a member of smart and passionate teams within an international leading EPC group that supports impactful for the local communities’ mega infrastructure development projects - literally around the globe - and encompasses a productive and human-centric culture caring for its people and their development!
Please note that you will be contacted only in case you are shortlisted for an interview. In the meantime, do not hesitate to stay in touch and keep monitoring our [open vacancies](https://careers.smartrecruiters.com/ArchirodonGroup) and our [LinkedIn](https://www.linkedin.com/company/archirodon-group-n-v-/?viewAsMember=true) page! Depending on the nature of the position and its associated compliance risk level, a background check on your profile may be carried out.
Key Responsibilities
- 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, 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.
Requirements
- Bachelor's or Master's degree in Data Science
- Computer Science
- Mathematics
- Statistics
- or a related field
Skills Required
Machine LearningAIData ScienceSQLAzureStatistical AnalysisData MiningData PreprocessingFeature EngineeringModel EvaluationProblem solvingCommunicationCollaborationNLPComputer VisionDeep LearningPower BI
Benefits
- Competitive salary
- Benefits
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