Senior Data Scientist (AI/ML)

TL;DR

Senior Data Scientist (AI/ML): Designing and building innovative AI/ML products and technologies for enterprise clients with an accent on creating advanced analytics solutions and enhancing data science tools. Focus on leveraging expertise to solve complex problems, writing optimized code, and ensuring statistical rigor and reusable methodologies.

Location: Based in one of our global offices in London or Madrid

Company

hirify.global, part of McKinsey, is a company that creates innovative products and new technologies to accelerate and scale work in artificial intelligence and machine learning for enterprise clients.

What you will do

• Design products to explain complex data landscapes and insights.
• Build frameworks and libraries for data professionals.
• Create innovative industry-specific AI/ML solutions for enterprise clients.
• Partner with global teams to develop advanced analytics solutions and enhance data science tools.
• Explore emerging technologies, engage in industry events, and collaborate with diverse experts.
• Mentor junior colleagues and support senior stakeholders in translating analytics into actionable insights.

Requirements

• Bachelors, Masters or PhD level in computer science, machine learning, applied statistics, mathematics, engineering or artificial intelligence.
• 5-7+ years of deep technical experience in distributed computing, machine learning, and statistics related work.
• Programming experience in Python, R, Scala, or SQL.
• Proven application of advanced analytical, data science and statistical methods in the commercial world.
• Strong communication skills, both verbal and written, in English and local office language(s).
• Willingness to travel.

Nice to have

• Previous experience in NLP or generative AI, including model development or application design and deployment.
• Knowledge of distributed computing or NoSQL technologies.

Culture & Benefits

• Continuous learning and apprenticeship culture with structured programs and clear, actionable feedback.
• Opportunity to contribute innovative ideas and practical solutions, upholding unwavering commitment to ethics and integrity.
• Global community with colleagues across 65+ countries and over 100 different nationalities.
• Competitive salary and comprehensive benefits package for holistic well-being.
• Freedom to experiment with leading technologies and attend global conferences like NIPS and ICML.