Data Scientist - QuantumBlack, AI by McKinsey
McKinsey & Company
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
Offerta di lavoro pubblicata 2 giorni fa
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