Data scientist

We Match People
Amsterdam, Netherlands
30 days ago

Role details

Contract type
Permanent contract
Employment type
Full-time (> 32 hours)
Working hours
Regular working hours
Languages
English

Job location

Amsterdam, Netherlands

Tech stack

Artificial Intelligence
Data analysis
Python
Machine Learning
Natural Language Processing
TensorFlow
PyTorch

Job description

As a Data Scientist you'll work at the intersection of machine learning, organizational psychology, and leadership science. You'll collaborate closely to develop impactful solutions leveraging AI, NLP, and predictive analytics. Your work will inform executive decisions, shape leadership strategies, and support complex organizational transformations.

Requirements

Identify high-impact opportunities for ML/AI across internal tools and client-facing products - Design, test, and deploy advanced models (especially NLP and AI-based) to address nuanced leadership and organizational challenges - Collaborate cross-functionally to embed data-driven insights into products and services - Contribute thought leadership and subject-matter expertise across data science, leadership strategy, and analytics innovation - Stay current with advances in ML, AI, and behavioral science to guide best practices - Bring an entrepreneurial mind set to the table and define new AI opportunities within the business. Skills and Experience - Strong track record in machine learning, NLP, and AI application-Bayesian modeling is a plus - Proficient in Python (preferred), R, or similar languages and ML frameworks (e.g., TensorFlow, PyTorch) - Exceptional analytical and problem-solving skills...

About the company

This is a globally active organization working at the forefront of leadership development, organizational advisory, and strategic talent solutions. Our multidisciplinary team brings together experts in psychology, business strategy, analytics, and technology to unlock the potential of leaders and organizations around the world. We value deep thinking, purposeful innovation, and meaningful outcomes over public recognition.

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