Data Scientist (AI Model Developer)

DLL; Eindhoven; Hybrid; EUR 70,000 - 100,000; Full time

Benefits offered by this job

Two volunteering days per year

Health and Wellness program

Flexible hours - work from home

Career development opportunities

Job summary

DLL’s AI development team is seeking a Data Scientist to design and deploy ML solutions that strengthen compliance and reduce risk for our global financial organization.

You will collaborate with Risk, Compliance, and Operations, turning complex problems into production-ready AI products with measurable impact on decision making and processes. Hybrid work and strong growth opportunities are available.

Qualifications

• Master’s in Data Science or equivalent experience.
• 3+ years applying ML to large datasets with production deployments.
• Strong Python, SQL, and Spark; Databricks and Azure DevOps experience.
• Understanding of model monitoring, drift detection and Responsible AI.

Responsibilities

• Design, develop, evaluate, and deploy ML models for risk and compliance.
• Partner with business teams to identify AI opportunities and translate them to solutions.
• Lead Responsible AI initiatives including monitoring, explainability, and auditability.
• Promote AI literacy across the organization via demos and workshops.

Skills

Python

SQL

Spark

Databricks

Azure DevOps

Model monitoring

Stakeholder discovery

Communication

Agile/SCRUM

Education

Master’s in Data Science

Tools

Databricks

Azure DevOps

Job description

Data Scientist

Join DLL’s AI development team as a Data Scientist specializing in Machine Learning and help shape the future of AI across our global financial organization. In this high‑impact role, you will design and develop Machine Learning solutions that strengthen compliance and reduce risk for our business. Working closely with stakeholders in Risk, Compliance, and Operations, you will turn complex business challenges into production‑ready AI products that deliver measurable outcomes, improving decision‑making, accelerating processes, and unlocking new value. You’ll play a key role in advancing DLL’s AI strategy, guiding responsible AI adoption, and scaling Machine Learning capabilities across the enterprise.

What You’ll Do

• Design, develop, evaluate, and deploy ML models for risk and compliance.
• Partner with business teams to identify impactful AI opportunities and translate them into technical solutions.
• Lead Responsible AI initiatives including model monitoring, explainability, and auditability.
• Promote AI literacy across the organization through demos, workshops, and best practices.

All members enjoy

• Two working days per year volunteering for a local charity.
• Health and Wellness program including healthy food, free health checks, fun health & vitality activities.
• Flexible hours with possibility to work from home
• Career development opportunities: online learning, member development programs.

What We’re Looking For

• Master’s in Data Science in Engineering, or equivalent experience.
• 3+ years applying Machine Learning to large datasets with production deployments you can speak to (SLA, latency, monitoring, retraining) .
• Strong Python, SQL, and Spark skills; experience with Databricks and Azure DevOps (or equivalent cloud-based ML tooling).
• Solid understanding of model monitoring, drift detection, data quality, and Responsible AI frameworks.
• Proven ability to conduct stakeholder discovery and turn business problems into measurable ML/GenAI deliverables.
• Excellent communication skills; comfortable working in Agile/SCRUM teams.

Bonus Points

• Experience in finance, leasing, or regulated industries (risk modelling, KYC/AML, sanctions, regulatory reporting).

Choose wellbeing

DLL’s wellbeing ambition is to educate, equip and empower members to build connections, manage their mental, emotional, physical and financial wellness and maintain balance between work and the other priorities that make up their lives.

Our Four Wellbeing Categories Are As Follows

• Connection – Build meaningful connections with other DLL members
• Health – Manage mental, emotional and physical health
• Finance – Provide learning opportunities to help members achieve personal financial health
• Lifestyle – Maintain balance between work and life priorities

About Us

DLL is a global asset finance company that partners with manufacturers, dealers, distributors, and end users to facilitate access to equipment and technology. Headquartered in Eindhoven, the Netherlands, we operate in over 25 countries, offering financial solutions across various industries. We are also a 100% subsidiary of our parent company Rabobank, one of the world’s largest financial companies. Join our community of over 6.000 members from 75 nationalities! At DLL, our unique culture — shaped by our values (We put our customers first -Together we achieve more-You can count on me - I challenge myself and others to grow) and behaviors that define us — is at the heart of everything we do.

We offer exciting job opportunities where you feel welcomed, respected and empowered to be your authentic self and share your best ideas. At DLL, we believe in the strength of our diverse perspectives and experiences, which make our global community thrive.

You’ll receive competitive pay, generous benefits, health and wellbeing support, and manage your work‑life balance through our hybrid working flexibility.

Our global operations offer you a variety of development opportunities and we encourage you to take on new challenges across our departments, businesses and regions.

Our company strategy emphasizes our commitment to sustainable business and making social impact is part of that as well. Together, we’ll “Partner for a better world” to make a positive impact. Joining DLL, means joining a company that consistently scores higher than the industry average in Employee Engagement surveys. This is also being acknowledged through many Great Place to Work certificates. People who work at DLL, like DLL.

Join us in Partnering for a better world!

DLL is an equal opportunity employer. We are committed to inclusive, barrier‑free recruitment and selection processes and work environments. If contacted for an employment opportunity, please advise Human Resources if you require accommodation in accordance with our values and all applicable legislation.

Deadline for application: November 8th (application deadline may close sooner if a high number of applications are received)

Hiring subject to successful completion of a background check.