Data Scientist (AI Model Developer)

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.

Find out more here about how you can unleash your full potential at DLL

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.
• Click this link for an overview of all the benefits in your region.

"We not only live up to the expectations of our customers for today, but also anticipate their market needs of tomorrow."

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

These are the things that matter to our members and the wellbeing of our members matters to DLL

Good to know

• Deadline for application: November 8th (application deadline may close sooner if a high number of applications are received)
• The selection process may involve an assessment.
• Applications via email will not be reviewed. Please apply online via our career website.
• DLL's referral program applies
• For more information, please contact our Talent acquisition partner Pim Meeuwis via pim.meeuwis@dllgroup.com

DLL appreciates the time you spend applying to our openings. We advise only those who qualify for an interview will be contacted. Hiring subject to successful completion of a background check.

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.