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Master Thesis Topic AI Powered Data Migration Auditing

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Job Description - Master Thesis Topic AI Powered Data Migration Auditing

Large‑scale data migrations at NN must not only transform and clean massive datasets but also prove, with full auditability, that the numbers still add up. Manual reconciliation is slow, error‑prone, and costly, especially under the scrutiny of DNB audits. This thesis tackles that challenge by designing an AI‑supported framework that automatically verifies numeric and provenance consistency across medallion‑layer migrations (bronze → silver → gold). The goal is to detect and explain aggregation mismatches, infer transformation impacts, and produce cryptographically verifiable evidence packages, from lineage graphs to signed aggregate proofs, that are both human‑readable and audit‑ready. By combining statistical analysis, machine learning, and provenance tracking, the resulting prototype aims to deliver faster, reproducible, and trustworthy audit artifacts, dramatically reducing manual effort while strengthening NN’s compliance posture.

 

What you are going to do

You will develop and validate an AI‑powered reconciliation framework that ensures numeric and provenance consistency across NN’s medallion‑layer data migrations, delivering audit‑ready proof for compliance with DNB requirements. The solution may combine statistical analysis, machine learning, provenance tracking and, where beneficial, autonomous agents to achieve its goals.

  • Design methods to detect and localize aggregation mismatches after filtering, cleaning, and transformations

  • Quantify and explain expected vs. unexpected data loss in migration pipelines

  • Integrate statistical, ML, and provenance‑tracking techniques into a modular prototype, optionally enhanced by agents

  • Generate human‑readable and cryptographically verifiable audit artifacts (lineage graphs, signed proofs, anomaly explanations)

  • Evaluate the framework on historical NN migrations and synthetic benchmarks to measure accuracy and audit‑effort reduction

 

What we offer you

It is important to us that you continue to develop yourself. We give you the space and the confidence to grow in your career as well as a person. We help you with:

  • Internship fee of € 650,- gross based on a 36-hour working week

  • Plenty of training and learning opportunities in our Learning & Development Centre

  • A large (international) network of colleagues who are keen to share their knowledge with you

  • The autonomy to set out your own development path

 

Who you are

You have a strong passion for solving complex analytical challenges and applying AI technologies to improve processes in the financial and risk domains. You work in a structured way, think critically, and pay close attention to regulatory requirements and technical specifications. In addition, you bring:

  • A degree or specialization in Computer Science, Data Science, Artificial Intelligence, Econometrics, or a related field

  • Hands‑on experience with Python

  • Solid knowledge of statistics, machine learning, natural language processing, and AI agent frameworks

  • The ability to translate complex technical concepts into clear, well‑structured documentation and actionable solutions

  • Self‑motivation and independence in planning and conducting research

 

Who you will work with

You will be part of the Data & AI team within the CIO department, a growing group of specialists who share a passion for creating impactful data and AI solutions. Our team offers plenty of room for learning and personal development. In this project, you will collaborate closely with colleagues from IT, business, and support departments to design and deliver AI-driven solutions for regulatory document generation.

 

Your employer will be NN Group, an organization that offers a wide range of opportunities. You will work within the Life & Pensions business unit, focusing on innovation in compliance and risk management processes.

 

Any questions?

You can reach out to Rowena Taal, Internship coordinator via [email protected].

 

Are you unsure if you meet 100% of the requirements? We encourage you to apply anyway and show us the unique value you could bring!

Original job Master Thesis Topic AI Powered Data Migration Auditing posted on GrabJobs ©. To flag any issues with this job please use the Report Job button on GrabJobs.
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