Data Scientist - Quantumblack, Ai By Mckinsey

26 set - Bardi
Mckinsey

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.

- world-class learning and apprenticeship culture
- mentorship and professional development
- global collaboration across 65+ countries
- 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
- 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
- team collaboration
- Python
- SQL
- R

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