Location: Athens, Greece Department: AI & Analytics Reporting line: AI & Analytics Manager Experience: 3–7 years in AI, Analytics or Data Engineering ABOUT CASTOR SHIPS We are a growth-oriented global shipping company en…
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Full-time
bachelor degree
Competitive Salary, Annual Discretionary Bonus, Life Insurance, Health Insurance, Dental Insurance, Daily Catered Lunch
Posted 47d ago
~40 hrs/week
Responsibilities
Develop production-ready AI solutions and analytics products to improve decision speed and reduce manual work across business functions. Collaborate with stakeholders to translate business problems into KPIs and maintain a trustworthy data foundation.
Requirements
Requires a degree in computer science, engineering, or a related field with 3-7 years of professional experience. Proficiency in Python, SQL, and building with LLM APIs is essential, along with familiarity with BI tools.
Full job description
Location: Athens, Greece
Department: AI & Analytics
Reporting line: AI & Analytics Manager
Experience: 3–7 years in AI, Analytics or Data Engineering
ABOUT CASTOR SHIPS
We are a growth-oriented global shipping company engaged in the seaborne transportation of a wide range of commodities along worldwide shipping routes through our ownership of dry bulk and tanker vessels. Our primary goal is to grow our fleet through acquisitions of new and modern vessels.
JOB SUMMARY
We are looking for an AI & Analytics Engineer to help build practical, production-ready AI and analytics capabilities. This is a hands-on, individual-contributor role based in Athens, reporting to the AI & Analytics Manager. You'll work directly with business teams to understand their problems, build the AI applications and analytics products that solve them, and support AI adoption across the company.
MAIN RESPONSIBILITIES
AI Application Development
Build production AI solutions for real-world problems, that reduce manual work and measurably improve decision speed across business functions
Collaborate with business teams to understand needs and requirements and develop AI solutions.
Implement evaluation and observability tooling to monitor AI application quality in production
Evaluate external AI and data products through structured assessment
Support AI adoption across the company through prompt libraries, documentation, and training
Data & Analytics
Translate business questions into KPIs, analyses and self-service analytics covering areas such as fleet performance, asset acquisition and financial metrics.
Help define and evolve the data foundation — from source systems through to the analytics and AI layers — so data stays well-structured and trustworthy
Collaboration & Adoption
Work with stakeholders across departments to understand problems before proposing solutions
Communicate analytical outputs and AI capabilities clearly to non-technical audiences
SKILLS & EXPERIENCE
Required
Degree in computer science, data science, engineering, physics or a related field
3–7 years of relevant professional experience
Strong Python and/or SQL skills
Hands-on experience building with LLM APIs (OpenAI, Anthropic, or Google), including RAG and prompt design/evaluation
Ability to translate business problems into analytical or AI-enabled solutions
Familiarity with BI tools such as Power BI or Tableau
Nice to Have
Agentic AI frameworks and multi-agent orchestration
Basic understanding of data modeling concepts and databases/data warehouses
Data governance, responsible AI, or LLMOps experience
Agile, proactive, and eager to learn new tools and technologies
Familiarity with the maritime industry
WHO YOU ARE
You think in concepts first, tools second
You take full ownership from problem definition through user adoption
You approach AI with healthy skepticism — you know when to trust the output and when to verify it
You are curious about the maritime industry and can build domain fluency
💰 Competitive salary, plus annual discretionary bonus performance related
🏥 Coverage under the company's Life, Health & Dental insurance plan
🥗 Daily catered lunch — main dish and side salad
☕ Healthy breakfast, snacks and beverages always stocked in the breakout area
🎉 Company-sponsored team-bonding events
🎂 A special birthday gift, because your day deserves to be celebrated
📈 Ongoing development opportunities to sharpen your skills and grow your career within Shipping
🚀 An entrepreneurial culture and genuinely interesting people to work with
CASTOR SHIPS S.A. is a technical and commercial ship management company established in Greece in 2020 under law 27/75.
The mission of CASTOR SHIPS S.A. is to operate a continuously mixed growing fleet of Oil Tankers, LPGs, Bulk Carriers and Containers in the most effective, efficient and the safest way, serving the needs of our customers, protecting their interests and fulfilling their expectations, showing a commitment to continuous improvement on Safety and ESG matters.
Our vision is to become the leaders in our field through continuous development of business excellence and sustainability aspects, by treating the social concerns of the shipping industry in a responsible manner, embracing innovation and new technologies and promoting ethical business conduct.
Offices: 10 Seneka Str., Kifissia, Athens 145 64 , GR
How many Engineering jobs are open in Municipality of Kifisia, Greece right now?
There are currently 28 open engineering positions in Municipality of Kifisia, Greece listed on Clera. New openings are added daily as companies post roles.
Which companies are hiring for Engineering roles in Municipality of Kifisia, Greece?
Companies currently hiring include Infinera, Autohellas Group, Castor Ships S.A., Technomar Shipping Inc., GEK TERNA Group of Companies, among others. Browse the listings above to see every active employer.
Are there remote or hybrid Engineering jobs in Municipality of Kifisia, Greece?
Yes — 12 of the 28 open engineering positions offer remote or hybrid work (0 remote, 12 hybrid).
How do I apply for Engineering jobs in Municipality of Kifisia, Greece?
Each listing links directly to the employer's application page. Apply early — fresh listings get the most recruiter attention in the first two weeks.