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Data scientist Mortgages - Job Opportunity at Nationale-Nederlanden

Rotterdam, Netherlands
Full-time
Mid-level
Posted: May 26, 2025
Hybrid
EUR 4,092 - 5,846 per month

Benefits

Competitive salary range of €4,092-€5,846 monthly for 36-hour work week, providing excellent work-life balance with full-time compensation
13th month salary and holiday allowance integrated into monthly payments for improved cash flow management
Generous 27 vacation days plus one Diversity Day, exceeding standard European vacation policies
Modern pension plan administered by BeFrank, ensuring comprehensive retirement security
Extensive training and learning opportunities supporting continuous professional development and career advancement
NS Business Card 2nd class providing unlimited public transportation for both business and personal use, or mileage reimbursement for personal vehicle use
Home office setup allowances and internet expense coverage supporting hybrid work model effectiveness
Premium office location directly above Rotterdam Central station with integrated café access
On-site restaurant offering healthy lunch options and extensive Asian cuisine
Access to 70-member Data Science guild for knowledge sharing and professional networking

Key Responsibilities

Drive AI solution development for mortgage document processing automation, directly impacting customer service efficiency and business operational costs
Translate complex business challenges into scalable data science solutions using cutting-edge LLMs and OpenAI technologies
Lead research and implementation of emerging AI technologies specifically for mortgage domain applications, positioning the company at the forefront of financial services innovation
Integrate machine learning models into cloud infrastructure (Azure and AWS) ensuring enterprise-scale deployment and reliability
Collaborate cross-functionally with mortgage domain teams to embed AI solutions throughout the customer journey, enhancing overall customer experience
Present AI solutions to business stakeholders and drive adoption initiatives, serving as a bridge between technical capabilities and business value
Explore novel applications of AI tools for customers, advisors, and internal colleagues, expanding the company's AI capabilities beyond current scope

Requirements

Education

Bachelor's or master's degree in Data Science, Econometrics, IT, or a related field with a strong Data Science component

Experience

At least 1 year of experience developing real-world applications

Required Skills

Designing and delivering AI Solutions, with a focus on foundation models and large language models Experience in natural language processing (NLP) desirable Practical knowledge of the data science process, including data collection, data processing, model evaluation, and implementation Experience In using cloud platforms such as AWS, Azure or Google Cloud and their AI services Proficiency in Python and experience with consuming and developing Python REST APIs Experience with JavaScript and training ML models is a plus Demonstrate a growth mindset to understand users' business processes and challenges Strong communication and collaboration skills, with the ability to work effectively with cross-functional teams Proficiency in the Dutch language is a plus
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Sauge AI Market Intelligence

Industry Trends

The financial services sector is experiencing unprecedented adoption of Large Language Models and generative AI for document processing and customer service automation, with mortgage companies leading digital transformation initiatives to reduce processing times from weeks to days. This trend is driven by regulatory pressure for faster loan approvals and customer expectations for digital-first experiences. European insurance and financial services companies are heavily investing in cloud-native AI solutions, particularly on Azure and AWS platforms, to meet GDPR compliance requirements while leveraging advanced analytics. The Netherlands is positioned as a key market for this transformation due to its advanced digital infrastructure and regulatory environment. The mortgage industry specifically is undergoing a paradigm shift toward automated document analysis and risk assessment using NLP and computer vision technologies. Companies implementing these solutions are seeing 40-60% reduction in manual processing time and significant improvements in accuracy rates. Cross-functional AI teams combining data scientists, engineers, and product managers are becoming the standard organizational model in European financial services, replacing traditional siloed approaches to enable faster deployment of AI solutions into production environments.

Salary Evaluation

The offered salary of €4,092-€5,846 monthly (approximately €49,000-€70,000 annually) is competitive for mid-level data scientists in the Netherlands, particularly considering the 36-hour work week and comprehensive benefits package. This positions slightly above market average when adjusted for working hours and is appropriate for someone with 1-3 years of specialized AI experience in financial services.

Role Significance

The role involves working within a core team of data scientists, data engineers, and product managers, likely 5-8 people, while being part of a larger 70-member data science guild across the organization, providing both focused collaboration and broader knowledge sharing opportunities.
This is a mid-level individual contributor role with significant strategic impact, requiring independent decision-making on technology choices and solution architecture. The position involves direct stakeholder interaction and influence over product direction, indicating a role with substantial autonomy and visibility within the organization.

Key Projects

Implementation of automated mortgage document processing systems using OCR and NLP technologies Development of customer journey optimization solutions integrating multiple AI touchpoints Creation of real-time risk assessment models for mortgage applications Integration of LLM-powered chatbots and advisory tools for customer service enhancement

Success Factors

Ability to bridge technical AI capabilities with practical business applications in a regulated financial environment, requiring deep understanding of both technology limitations and compliance requirements Strong stakeholder management skills to drive AI adoption across traditional mortgage teams who may be resistant to technological change Expertise in production-ready AI system deployment, including monitoring, maintenance, and continuous improvement of models in live customer-facing environments Collaborative leadership within cross-functional teams to ensure AI solutions integrate seamlessly with existing mortgage processes and systems

Market Demand

High demand driven by urgent digital transformation needs in financial services, particularly for professionals with LLM and cloud platform experience in regulated industries.

Important Skills

Critical Skills

Python proficiency and REST API development skills are essential as they form the foundation for all AI solution development and integration with existing systems. These skills enable the rapid prototyping and production deployment of models in the company's cloud infrastructure. Cloud platform experience (Azure/AWS) with AI services is critical because modern enterprise AI solutions require scalable, secure, and compliant deployment environments. Understanding cloud-native AI services accelerates development and ensures enterprise-grade reliability. Large Language Model and foundation model experience is increasingly becoming table-stakes for data science roles in financial services, as these technologies are driving the next generation of customer experience and operational efficiency improvements. Communication and collaboration skills are vital for success because AI solutions in financial services require extensive stakeholder buy-in and cross-functional coordination to navigate complex regulatory and business requirements.

Beneficial Skills

Natural Language Processing expertise provides competitive advantage in document-heavy mortgage processes and enables development of more sophisticated customer interaction solutions JavaScript knowledge enables fuller-stack development capabilities and better integration with web-based customer interfaces and internal tools Dutch language proficiency facilitates deeper integration with local business teams and understanding of Netherlands-specific regulatory and market requirements Financial services domain knowledge accelerates understanding of business context and regulatory constraints that impact AI solution design and implementation

Unique Aspects

Direct application of cutting-edge LLM technology in a traditional financial services environment, offering exposure to both emerging AI capabilities and established regulatory frameworks
Access to a 70-member data science community within the organization, providing exceptional peer learning and collaboration opportunities rare in many companies
Focus on end-to-end AI solution delivery from research through production deployment, offering comprehensive experience in the full AI development lifecycle
Opportunity to work with real customer data and processes in a regulated environment, providing valuable experience in enterprise AI deployment with compliance requirements

Career Growth

Typical progression to senior individual contributor or management roles within 2-4 years, with accelerated opportunities given the high-demand nature of AI expertise in financial services and the company's significant investment in data science capabilities.

Potential Next Roles

Senior Data Scientist or Lead Data Scientist roles within 2-3 years, potentially leading specialized AI initiatives or teams AI Product Manager positions leveraging technical background to drive product strategy in financial services Data Science Manager roles overseeing multiple AI projects and teams within the mortgage or broader financial services domain Principal Data Scientist or AI Architect roles focusing on enterprise-wide AI strategy and implementation

Company Overview

Nationale-Nederlanden

Nationale-Nederlanden is one of the largest insurance companies in the Netherlands and a major player in the European financial services market, part of the NN Group which operates across multiple countries. The company has a strong heritage in the Dutch market and is actively modernizing its technology stack and customer experience through significant AI and digital transformation investments.

As a leading insurer in the Netherlands with strong market presence in mortgages and financial services, NN is well-positioned to compete with both traditional financial institutions and emerging fintech companies. The company's investment in AI and data science indicates a strategic focus on maintaining competitive advantage through technology innovation.
The Rotterdam location places this role at the heart of one of Europe's major financial centers, with excellent connectivity and access to top technical talent. The Netherlands' position as a European technology hub provides strong opportunities for collaboration with other major financial and technology companies in the region.
The hybrid work model, 36-hour work week, extensive benefits, and emphasis on learning and development suggest a progressive, employee-centric culture that values work-life balance while maintaining high performance expectations. The guild structure indicates a collaborative, knowledge-sharing culture that supports professional development.
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