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We are looking for a Data Science Lead (staff level) to join the Enterprise Data Science Group - a senior, hands-on technical leader who thrives on tackling complex problems, owning solutions end-to-end, leading projects, and shaping how machine learning and AI drive business value at scale. This role offers a rare combination of diverse data, hard ML and AI challenges, and leadership. You’ll work closely with experienced data scientists, engineers, product managers, and business stakeholders, work on challenging problems, and see the direct impact of your work in production.
Job Responsibility:
Be a hands-on lead of ML/AI projects across business lines with rich data and many challenging, high-impact use cases
Coach and develop a team of top data scientists and AI engineers in Europe (remote), while gradually growing the team with new projects – potentially hiring locally
Align product and business stakeholders on goals and KPIs, presenting vision and roadmaps, and communicating progress
Guide your small team of direct reports towards pushing the bar of accuracy while contributing hands-on towards ensuring product stability, reliable deployment, and continuous monitoring
Requirements:
2+ years of managerial or tech lead experience
7+ years of hands-on experience with machine learning, including leading projects and communicating their value
Experience deploying production-level code in the cloud (AWS, Azure, GCP, Databricks, etc.)
Hands-on experience with LLMs, RAG systems, and agentic AI architectures
Great coding skills and engineering practices
An entrepreneurial mentality
excited to work with product and business teams to identify new opportunities, plan, and lead their development
Excellent communication skills in English
An MSc degree (PhD advantage) in computer science, mathematics, or another STEM field
Experience managing or working with international colleagues – advantage