TL;DR

Senior Data Analyst (AI): Driving innovation through applied AI and machine learning, focusing on efficiency, scalability, and cost-effectiveness for research intelligence. Focus on R&D efforts, proof-of-concepts, and integrating new AI-driven methods into production workflows.

Location: Located in the Netherlands (hybrid role, Amsterdam office).

Company

%hirify_global% is a global leader in advanced information and decision support for science and healthcare.

What you will do

Lead the design, prototyping, and implementation of AI and machine learning initiatives.
Conduct R&D and proof-of-concepts to test emerging AI technologies.
Guide and oversee the development work of other analysts.
Build and optimize advanced data workflows using Python, PySpark, DuckDB, and SQL.
Drive the adoption of new methodologies and analytical approaches.
Collaborate with data scientists, engineers, and analysts to develop AI-enhanced pipelines.

Requirements

Proven experience leading advanced analytics or AI-driven initiatives.
Substantial hands-on expertise with machine learning and AI models.
Strong proficiency in Python and experience with PySpark, DuckDB, SQL databases, and ETL workflows.
Familiarity with LLMs (Large Language Models), APIs, and applied AI frameworks.
Knowledge of AWS services (EC2, S3, Lambda) preferred.
Experience working in Databricks environments helpful.
Located in the Netherlands (hybrid role, Amsterdam office).

Culture & Benefits

Comprehensive Pension Plan
Generous vacation entitlement and option for sabbatical leave
Flexible working hours
Wellbeing programs and gym facility in the office
Work from anywhere