Intellectica is recruiting an experienced and highly skilled Senior Data Scientist on behalf of a newly established AI & Machine Learning startup, which will be integrated into a leading group of companies operating in the aerospace, defense, and high-technology sector. This startup aims to develop cutting-edge AI-driven solutions tailored to the aerospace and defense industry. You will join a dynamic cross-functional team and report directly to the Head of Data Science.
Key activities and responsibilities of this role include:
- Leading the end-to-end development of machine learning solutions, from business requirement gathering to model deployment and evaluation
- Designing reusable components and frameworks to streamline the data science lifecycle
- Collaborating with product experts, engineers, and government stakeholders to build robust AI models and data pipelines
- Supporting business development efforts by translating technical capabilities into strategic value
- Overseeing the full ML development process including data exploration, feature engineering, model training, validation, and monitoring
- Communicating technical results clearly and appropriately to diverse audiences
- Partnering with ML engineers to enhance the company’s analytical and ML platform capabilities
- Evaluating and testing emerging data science tools and technologies
- Contributing to the evolution of the company’s ML-Ops operating model
- Representing the company at internal meetups and external conferences
- Mentoring junior data scientists and fostering a culture of continuous learning
Professional experience & qualifications of a successful candidate:
- Graduate degree in Data Science, Machine Learning, Computer Science, Statistics, Informatics, or a related quantitative field
- Minimum of 5 years’ experience in data science, machine learning, or artificial intelligence
- Advanced proficiency in Python and relevant libraries (e.g., Pandas, NumPy, PyTorch, Keras)
- Experience with end-to-end ML workflows and deploying models in production
- Skilled in handling complex, large-scale, and unstructured datasets
- Familiarity with data parallel processing frameworks is highly advantageous
- Hands-on experience with ML-Ops practices and real-time model performance monitoring
- Knowledge of computer vision algorithms (e.g., R-CNN, YOLO) is a strong plus
- Exposure to cloud platforms such as AWS, Azure, or GCP
- Experience with modern AI techniques including large language models and computer vision
- Familiarity with the AI ecosystem (e.g., Hugging Face, Ray Framework) is a plus
- Proficient in Greek and English
Core competencies of a successful candidate:
- Visionary mindset with pragmatic execution
- Strong analytical and problem-solving skills
- Comfort with ambiguity and ability to define clear next steps
- Effective communicator and team collaborator
- Motivated to mentor and support others
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