Principal Data Scientist

About the Position

Principal Data Scientist

Help shape data-driven decision making across ING's global banking network.

At ING, we believe data and analytics are fundamental to helping people stay a step ahead in life and business.

As part of ING Analytics, you'll join a global Analytics Engineering organization delivering advanced analytical solutions across domains including Pricing, Risk Management, Financial Crime, Customer Intelligence, and People Analytics. Together, these teams support strategic decision-making across ING's international banking operations and help shape the future of data-driven banking.

The models and analytical solutions developed within ING Analytics have impact far beyond a single market. A model built in Istanbul can support decision-making processes across multiple European countries and ultimately influence experiences for millions of ING customers. This global reach is one of the unique advantages of being part of ING's international analytics community.

Role Summary

As a Principal Data Scientist, you will own the end-to-end analytical lifecycle, from problem definition and model development through deployment, validation, and business adoption.

Working closely with business stakeholders, Product Owners, Engineers, and Analytics teams, you will transform complex business challenges into scalable data-driven solutions. You will combine advanced statistical modelling, machine learning expertise, experimentation, and business understanding to influence critical decision-making processes across ING.

This role offers the opportunity to contribute across multiple analytics domains while helping shape strategic decisions through advanced modelling, experimentation, and analytical insight generation. Whether optimizing customer strategies, improving risk assessments, strengthening financial crime detection capabilities, or supporting pricing decisions, your work will have measurable impact across ING's international banking network.

Responsibilities

• Manage the full analytical lifecycle, from opportunity identification and solution design through implementation, deployment, and business adoption.
• Analyze large and complex datasets to identify trends, opportunities, and root causes behind business outcomes.
• Develop machine learning models, statistical frameworks, and analytical solutions that support critical business decisions.
• Apply advanced analytical techniques to solve challenges across customer, risk, pricing, financial crime, and operational domains.
• Design and execute experimentation frameworks, including A/B tests and champion-challenger approaches, to assess model effectiveness and business impact.
• Collaborate with stakeholders across multiple business and technical domains to translate requirements into scalable analytical solutions.
• Support model deployment, monitoring, and continuous improvement to ensure long-term business value.
• Communicate analytical findings and recommendations to stakeholders at different levels of the organization.
• Contribute to ING's Data Science community through knowledge sharing, best-practice development, and continuous innovation.
• Work closely with Engineering and Platform teams to support production-ready analytical solutions and sustainable model deployment.

Requirements

• 4+ years of experience in Data Science, Machine Learning, Advanced Analytics or related disciplines.
• A degree in Mathematics, Statistics, Engineering, Economics, Computer Science, MIS or another quantitative field.
• Hands-on experience delivering end-to-end machine learning projects, from data exploration and feature engineering to deployment and monitoring.
• Strong Python and SQL skills, together with experience working with large and complex datasets.
• Experience applying statistical modelling and machine learning techniques to solve real business problems.
• Excellent communication skills and the ability to collaborate with both technical and non-technical stakeholders.
• Strong English communication skills in an international environment.

Nice to Have

• Experience with Spark, cloud-based analytical environments, MLOps practices, Git, DevOps, experimentation frameworks, or model deployment processes is considered an advantage.

We Offer

At ING Hubs Türkiye, we believe that your work should be fulfilling in every way. We pay attention to even the smallest details to ensure that your experience is rewarding.

• Welcome Leave: Enjoy 14 days of welcome leave, even in your first year
• Career Opportunities: Self-driven career paths and international opportunities
• Personal Growth: Challenging work and continuous development
• Dynamic Environment: Informal, vibrant, and collaborative culture
• Innovation Culture: Explore and apply PACE methodology
• Global Exposure: Participate in international projects and communities
• Communication & Celebrations: Various communication activities and celebrations
• Health Care: Comprehensive private health insurance for you and your family
• Private Pension Plan
• Meal Card
• Transportation Allowance
• MultiSport Membership
• English Language Development Support
• Remote working opportunities throughout August

About the Company

With 65,000 employees and operations in approximately 40 countries, there is no shortage of opportunities for people with initiative who want to help people take a step ahead in life and in business.

Do you want to work at the cutting edge of what's possible and at the same time ensure you work with integrity and hold the customer's interests at heart? Do you want to be surrounded by progressive, inspiring, diverse and supportive colleagues?

Then there is no better place to invest your talents than at ING.

Join us. Apply today.