Senior Data Science Lead

About the role

The Data Science Lead will head a small team within the Global Data & Insights group, delivering applied analytics, machine learning, and data product solutions for global business and technology stakeholders.

Key responsibilities

• Lead, coach, and develop a team of data scientists and analysts, setting clear expectations for ownership, quality, communication, and delivery.
• Translate business and technology priorities into well‑scoped data science workstreams, defining problem statements, success criteria, data requirements, delivery plans, and stakeholder alignment.
• Provide technical leadership across exploratory analysis, feature definition, model development, evaluation, documentation, and implementation handoff.
• Partner with business stakeholders to identify operational, commercial, or market‑data problems where analytics or machine learning can add value.
• Collaborate with data engineering, application engineering, and platform teams on data pipelines, model‑serving patterns, API integration, testing, and production readiness.

Required profile

• Bachelor’s degree in a quantitative field or equivalent professional experience.
• Significant experience in data science, machine learning, analytics, or data product delivery with ownership of complex initiatives.
• Proven experience leading, managing, and mentoring a small technical team.
• Strong stakeholder management skills, able to clarify ambiguous requests and communicate technical trade‑offs in business terms.

Required skills

• Python
• SQL
• Databricks
• Apache Spark
• MLflow
• REST APIs and JSON payloads
• Streaming platforms such as Kafka or Redpanda (experience mentioned)