Data-Scientist for Machine Learning (M/W/D)

23 set - Pavia
McKinsey u0026

Overview As a Data Scientist at QuantumBlack, you will work within multi-disciplinary teams to turn data into real-world impact for global clients. You will develop advanced modeling and analytics solutions, collaborating with clients and internal experts to drive data-driven decisions. You'll tackle diverse data challenges, scale solutions securely, and contribute to responsible AI and best practices.

This role offers continuous learning, mentorship, and exposure to a global, diverse environment with opportunities to influence major client outcomes.

Retribuzione / Benefits competitive salary comprehensive benefits package world-class learning and apprenticeship culture mentorship and professional development global collaboration across 65+ countries Responsabilità Develop high-quality data science solutions and analytics products for diverse industries Collaborate with client teams and internal experts to present findings and provide actionable recommendations Design and implement data-driven strategies aligned with client goals and industry best practices Stay current with data science tools and technologies,



contributing to innovation and proprietary methodologies Ensure solutions are scalable, secure, and ethically responsible, with clear stakeholder communication Requisiti fondamentali Bachelor, Master, or PhD in computer science, machine learning, applied statistics, mathematics, engineering, or related field Up to 2 years of programming or data science experience; strong potential welcomed Strong foundation in statistics and data analysis Proficiency in Python required;

experience with R, SQL, or Spark valued Familiarity with GenAI concepts (LLMs, embeddings, RAG, prompt engineering) desirable Knowledge of TensorFlow or PyTorch; Hadoop experience a plus Familiarity with LLM toolsets (Langchain, llamaindex) a plus Experience with cloud platforms (AWS, GCP, Azure) a plus Strong verbal and written communication in Italian; English proficiency required; additional languages a plus strong communication skills team collaboration stakeholder engagement Python SQL R

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