lead data scientist
Jul 28, 2026 · EPAM Global
What you'll do
- Lead AI/ML initiatives with technical leadership and strategic oversight
- Manage AI/ML model lifecycle from development to production deployment
- Optimize and fine-tune AI models for accuracy and performance
- Implement model evaluation and drift testing processes
- Establish coding and model standards for production-quality systems
- Collaborate with engineering and business teams to define project goals and roadmaps
- Deliver scalable AI solutions from prototypes to production systems
Key requirements
- 5+ years' experience
- Expertise in Generative AI, NLP/LLMs, and AI/ML model deployment
- Advanced Python skills with TensorFlow, PyTorch, and Scikit-Learn
- Proficiency in Cloud Platforms such as Azure and AWS
- Strong Data Analysis and Probability skills for model interpretation
- Experience with Coding Standards and model evaluation and drift testing
- Excellent Communication Skills for technical and non-technical audiences
Benefits
- Remote and hybrid work options available with option to work from Athens office.
- Corporate laptop and private health insurance provided.
- Meal vouchers, transportation card, and comprehensive personal and professional development opportunities including training and certification.
About the job
We are seeking a Lead Data Scientist with expertise in Generative AI technologies, Python, and scalable machine learning solutions to design and deliver impactful AI applications. This role combines technical leadership with collaboration, driving innovation while aligning with business objectives.
In this role, you will design and scale a sophisticated chatbot application leveraging Generative AI to simplify workflows and answer natural language questions by retrieving insights from APIs and unstructured data sources.
The remote option applies only to the Candidates who will be working from any location in Greece.
#LI-DNI#LI-YAROSLAVADIAKOVA
Responsibilities
Combine technical leadership with strategic oversight to guide AI/ML initiatives
Own and manage the lifecycle of AI/ML models, from code development and evaluation to production deployment
Optimize and fine-tune models to ensure accuracy and high performance in real-world scenarios
Implement robust model evaluation and drift testing processes to maintain reliability
Establish and enforce coding and model standards to ensure production-grade quality
Collaborate closely with engineering and business teams to define project objectives, requirements, and roadmaps
Deliver scalable AI solutions, advancing prototypes to production-ready systems
Requirements
5+ years of professional experience in Data Science
1+ years of leadership experience in relevant roles
Proven proficiency in NLP/LLMs/GenAI methods
Advanced Python skills, with expertise in TensorFlow, PyTorch, and Scikit-Learn for AI model development
Proven expertise in building and deploying production-grade AI/ML models with robust pipelines, monitoring practices, and operationalization in real-world environments
Strong background in data analysis and probability for model interpretation and insights
Proficiency in Azure and/or AWS cloud platforms for scalable, reliable deployments
Capability to define and uphold high-quality coding practices for maintainable and efficient systems
Excellent communication skills for explaining technical concepts effectively to technical and non-technical stakeholders
English level of minimum B2 (Upper-Intermediate) for effective communication
Nice to have
Experience with DevOps practices such as CI/CD pipelines, code versioning, and automated testing frameworks
Familiarity with MLflow for tracking experiments and enhancing model deployment workflows
We offer
For your comfortable work:
Remote and hybrid work opportunities
Option to work from our centrally located office in Athens
Corporate laptop provided
Option to work on your own device
Private health insurance
Meal vouchers / restaurant tickets
My Benefit card (264€/year)
Monthly public transportation card
For your growth:
Global and diverse client portfolio, large-scale projects, and trendy technologies
Diverse multicultural, multi-functional, and multilingual work environment
Opportunity to contribute to internal and open-source products
Outstanding career development opportunities with a transparent career path and a roadmap to accelerate your journey
Possibility to create a Personal Development Plan from the first day in the company
Numerous opportunities for self-development: hard & soft skills internal training courses, mentoring programs, and unlimited access to LinkedIn Learning courses, external e-Libraries
Certification opportunities
Knowledge-sharing with colleagues from EPAM's global tech and non-technical communities
Language courses
