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PracaOferty pracy WarszawaAI Business Analyst

Kto szuka:

HAYS

Stanowisko:

AI Business Analyst

Lokalizacja:

Warszawa

mazowieckie

Opis stanowiska podany przez pracodawcę:

AI Business Analyst
Warszawa
NR REF.: 1192682


Hays IT Contracting is a cooperation based on B2B principles. Our company matches IT specialists to the most interesting technological projects on the market. Join the group of 500 satisfied Contractors and work for Hays Clients! 
We are currently looking for candidates for the position: AI/LLM Analyst
Mode of operation: Remote. Possible to work in hybrid mode, office in Warsaw, Poland Type of contract: contract (B2B by Hays Poland) Industry: Pharma Length of project: till 2026Working hours: European standard Languages: Polish, English – both fluent 
Project description: The project involves supporting the IDMP (Identification of Medicinal Products) program development in AI/LLM/Ontology domains. The goals are:

  • Develop and Implement AI & Graph-Driven Solutions: Goal: Actively perform or support the design, development, and deployment of AI and graph-driven solutions that leverage large language models (LLMs), ontologies, and semantic knowledge representation to enhance knowledge discovery, question-answering, and information retrieval-related to medicinal products. 
  • Enhance Integration and Usability of Medicinal Product Information:
    Improve the integration and usability of medicinal product information across the organization by developing user-friendly interfaces and tools that streamline data access and analysis.
  • Support IDMP+ Strategy and Transformational Projects:
    Contribute to the overarching IDMP+ Strategy by analysing business challenges and providing AI-driven solutions to support a series of smaller transformational projects.

Responsibilities: 
  • Collaborating with stakeholders to understand their needs and gather detailed business requirements.
  • Developing and documenting business process models to illustrate current and future states.
  • Contributing to designing, developing, and deploying AI applications and Graph Databases that leverage LLMs for tasks such as natural language understanding and data extraction.
  • Building and maintaining knowledge graphs and ontologies to structure and semantically integrate domain-specific knowledge, enhancing data interoperability.
  • Developing tools and pipelines to ingest, transform, and link data from diverse sources into a unified knowledge graph.
  • Implement and optimise NLP models, algorithms, and processing pipelines to ensure efficient, scalable, and accurate performance.
  • Documenting development processes and architecture to ensure maintainability and knowledge sharing.
 
What you get: 
  • Standard benefits – preferential rates for LuxMed, Medicover Sport and Multisport packages; 
  • By choosing to work via Hays, you also get the opportunity to work in the future for many other leading Hays clients




Requirements:

  • At least 3 years of experience as an Analyst, ability to gather detailed business requirements
  • Proven experience in developing and deploying AI applications, particularly those leveraging large language models (LLMs). 
  • Knowledge of business analytics tools – at least 1 year
  • Experience in building and maintaining knowledge graphs and ontologies.
  • Knowledge of Microsoft Azure as an asset
  • Knowledge of Python as an asset
  • Fluent English – both written and spoken 







What the recruitment process will look like: 
  • Your CV will be verified by a Hays Recruiter 
  • The recruiter will contact you by phone – a 15-minute conversation about the project and your experience. 
  • Conversation with the client – 1 online meeting 
  • Offer 
  • Welcome to the project!


  • Hays Poland sp. z o.o. is an employment agency registered in a registry kept by Marshal of the Mazowieckie Voivodeship under the number 361.




































     








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    sprawdź szczegóły

    data publikacji: 2025-04-10

    do końca oferty: 56 dni

    pracodawca: HAYS

    branże: Informatyka / Telekomunikacja

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