Senior Enterprise Data Science Platform Lead

Julius Baer; Zürich; Vor Ort; CHF 120.000 - 190.000; Vollzeit

Zusammenfassung

Julius Baer in Zürich seeks a forward-thinking Data Scientist to shape the enterprise data science workbench, defining the technical vision and roadmap with platform owner, architecture, product, and engineering teams. You will drive governance, scalability, and compliant analytics infrastructure to enable data-driven decisions across the bank.

The role requires leadership and hands-on ML/data engineering expertise, with experience in Python, R, SQL, and modern ML tooling.

Qualifikationen

• 5+ years in technology or data science roles in large regulated enterprises.
• Proven AI/ML platform design and deployment experience.
• Hands-on programming in Python, R, SQL; familiarity with TensorFlow or PyTorch.
• Experience with LLM integration and enterprise-grade AI governance.

Aufgaben

• Define and maintain the end-to-end technical vision, roadmap, and lifecycle strategy for the data science workbench offering of the global data platform.
• Gather requirements and maintain relationships with current and potential consumer base, ensuring the technical vision and roadmap enables their business ambitions.
• Ensure platform scalability, reliability, performance, and security, embedding non-functional requirements, observability, automation, and resilience-by-design principles.
• Lead the prioritisation and delivery of data science workbench related features and capabilities, coordinating across Agile teams.
• Own and drive the community of practices for the data science workbench across the organisation.
• Establish and monitor SLAs, SLOs, and KPIs; leverage metrics and OKRs to measure platform health, usage, team performance, and business value.

Kenntnisse

AI/ML platform design

MLOps pipelines

Model lifecycle management

Python

R

SQL

LLM integration

NLP

Responsible AI

Data governance

Team leadership

Stakeholder communication

Agile methodologies

DevOps practices

Kubernetes

Spark

Snowflake

Databricks

Hadoop

Security by design

Ausbildung

Bachelor's or Master's in Computer Science/Information Systems or related field

Tools

TensorFlow

PyTorch

Scikit-learn

Apache Spark

Iceberg

Trino

Kafka

Kubernetes

Snowflake

Databricks

Hadoop

Jobbeschreibung

Julius Baer in Zürich seeks a forward-thinking Data Scientist to shape the enterprise data science workbench, defining the technical vision and roadmap with platform owner, architecture, product, and engineering teams. You will drive governance, scalability, and compliant analytics infrastructure to enable data-driven decisions across the bank.

The role requires leadership and hands-on ML/data engineering expertise, with experience in Python, R, SQL, and modern ML tooling.