Data Scientist GenAI

Job Posting

This is a remote position. We are looking for Data Scientists to join a long-term delivery programme focused on building production-grade AI and Generative AI solutions for enterprise customers. This is a hands-on role centred on real delivery and customer-facing systems, covering classical machine learning, advanced analytics, and LLM-based workflows including RAG. The environment is execution-driven, engineering-focused, and oriented towards measurable business impact.

Responsibilities:

• Design, develop, and deliver data-driven and AI-based solutions for enterprise use cases
• Translate business problems into robust data science and machine learning approaches
• Prepare, clean, and analyse structured and unstructured data
• Perform feature engineering and select appropriate modelling techniques
• Build, train, evaluate, and optimise machine learning models using Python or R
• Develop proof-of-concepts and evolve them into production-ready solutions
• Implement and improve Generative AI solutions, including RAG and LLM-based pipelines
• Evaluate model outputs and continuously improve quality, relevance, and reliability
• Contribute to technical design discussions and solution architecture
• Collaborate closely with engineers, product teams, and customer stakeholders

Requirements:

• Strong academic background in Data Science, Mathematics, Statistics, Computer Science, or similar
• Hands-on experience building end-to-end machine learning pipelines
• Very good practical knowledge of Python or R and common data science libraries
• Solid understanding of statistics and core machine learning concepts
• Practical experience with Generative AI, LLMs, and RAG approaches
• Ability to write clean, production-ready, and maintainable code
• Experience working in multidisciplinary delivery teams
• Strong communication skills in English
• Nice to have: Experience with distributed data processing or Spark
• Exposure to deep learning frameworks such as TensorFlow or Keras
• Experience working in cloud-based environments
• Experience in fast-paced or delivery-focused project environments

Benefits:

• Solid, competitive salary
• Work in multinational environment on international projects
• Comprehensive healthcare
• Long-term B2B contract with stable project pipeline
• Fully remote model