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

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

Requirements

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

Benefits

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