Lead Data Scientist | AETHON Engineering · Teeming.ai
AETHON Engineering
AETHON Engineering is an innovative engineering firm specializing in Research-Development-Innovation (RDI) projects across Smart Cities, Mobility, Energy, and Logistics. They leverage expertise in…
AETHON Engineering is an innovative engineering firm specializing in Research-Development-Innovation (RDI) projects across Smart Cities, Mobility, Energy, and Logistics. They leverage expertise in…
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We are AETHON
AETHON Engineering is a fast-growing multidisciplinary technology firm specializing in engineering, product development, and venture-building. We pride ourselves on an entrepreneurial culture, high-impact projects, and continuous innovation.
About the role
We are currently looking for a
Director of Data Science & AI
to lead our Data Science & AI Department and help turn data and artificial intelligence into actionable insights, production-ready solutions, and measurable business impact across AETHON’s products and projects in all company’s verticals. In this role, you will combine hands-on technical contribution with strategic leadership, team coordination, stakeholder engagement, and governance of data-driven innovation. The position covers the full lifecycle of data and AI solutions, from data collection, analysis and model ideation to deployment, monitoring, continuous improvement, and responsible AI practices.
What you will do
Lead and coordinate the Data Science & AI Department, setting priorities, standards and technical direction;
Work alone or as part of a team to execute projects’ envisioned work and prepare deliverables in a timely fashion;
What you will bring
5+ years of experience in a relevant field, including experience in a senior, lead or managerial role;
MSc in a field relevant to applied mathematics, statistics, computer science or engineering;
Proven knowledge of a programming or scripting language at professional level;
Strong knowledge and experience in statistics, data analysis and applied machine learning;
Familiarity with Machine Learning/Deep Learning algorithms and frameworks, such as PyTorch or TensorFlow;
What we consider a plus
Proven knowledge of Machine Learning/Deep Learning algorithms and frameworks;
Experience with generative AI models, techniques and toolbox, such as proprietary LLM APIs, Hugging Face libraries, RAG pipelines, vector databases or LLM evaluation;
Proven knowledge of Python and data visualization tools;
Knowledge of designing, implementing or working under Agile project management schemes;
Experience with Docker and CI/CD pipelines, such as GitLab CI/GitHub Actions, and infrastructure-as-code, such as Terraform;
What we offer
Competitive full-time salary with an impactful bonus scheme and an extensive leaves’ plan;
Vibrant, collaborative and forward-thinking work environment;
Dynamic and fast-paced atmosphere where innovation is encouraged;
Tools and resources you need to succeed in your daily responsibilities;
Personalized continuous learning plan, supported by AETHON, to foster your professional growth;
A clear leveling path taking you to the next of your career development;
Friendly and inclusive culture that values teamwork, ownership and solution-driven thinking.
Please read the CV submission and processing terms carefully (https://aethon.gr/cv-submission-terms/) before sending your Curriculum Vitae.
Original Post: https://aethon.gr/2026/05/11/lead-data-scientist/
Design and develop modelling and engineering tools that will be integrated in company products or used as part of project analysis;
Oversee the full ML/AI lifecycle, including problem framing, exploratory data analysis, model selection, validation, deployment, monitoring and retraining;
Prepare and present the outcomes of your work clearly to technical and non-technical stakeholders;
Engage partners and customers to ensure that requirements are met and feedback is documented, negotiated and incorporated;
Execute and supervise data analytics and AI activities across all sectors of the company;
Lead, mentor and develop a multidisciplinary team of data scientists, AI engineers and data professionals;
Support data governance, responsible AI, security, privacy and compliance practices, including GDPR, ISO 27001 and EU AI Act considerations;
Actively engage in proposal and tender writing, while identifying and scoping AI-related opportunities with clients, partners and research bodies.
Ability to translate complex technical concepts into actionable insights for executives, customers and non-technical stakeholders;
Understanding of data governance, model quality, reproducibility, responsible AI and regulatory compliance;
Excellent knowledge and usage of the English language;
Analytical thinking, exquisite verbal and written communication skills, collaborative attitude, team spirit and out-of-the-box thinking.
Experience with MLOps/LLMOps tools, experiment tracking, model registries or model monitoring;
Experience leading a team to deliver excellent technical results;
Experience in research, publications, patents, research grants or technical proposal writing;
Experience representing a company in client engagements, industry forums, academic collaborations or technical partnerships.