Principal Data Scientist

About the role

Join ING Analytics as a Principal Data Scientist and lead end‑to‑end analytical projects that influence strategic decisions across ING’s global banking network. You will work with cross‑functional teams to turn complex business challenges into scalable, data‑driven solutions.

Key responsibilities

• Own the full analytical lifecycle, from problem definition and model development to deployment, validation, and business adoption.
• Develop and implement machine‑learning models, statistical frameworks, and experimentation designs (A/B tests, champion‑challenger) to support pricing, risk, financial crime, customer intelligence and people analytics.
• Collaborate with product owners, engineers and business stakeholders to translate requirements into production‑ready analytical solutions.
• Monitor deployed models, drive continuous improvement and communicate insights to senior leadership.

Required profile

• 4+ years of experience in Data Science, Machine Learning or Advanced Analytics.
• Degree in a quantitative field such as Mathematics, Statistics, Engineering, Economics, Computer Science or MIS.
• Proven ability to deliver end‑to‑end ML projects and translate analytical insights into business value.
• Strong communication skills in English and ability to work with both technical and non‑technical stakeholders.

Required skills

• Python programming
• SQL for large‑scale data manipulation
• Experience with Spark and cloud‑based analytical environments
• Familiarity with MLOps practices, Git and DevOps tooling
• Hands‑on experience with experimentation frameworks and model deployment processes

What we offer

• Hybrid work model (2 days onsite per week, one fully remote week per month)
• 14 days of welcome leave, private health insurance, pension plan, meal card and transportation allowance
• Opportunities for international projects, career growth and continuous learning
• Multisport membership and English language development support