Senior Data Scientist

Are you a passionate Data Scientist eager to create innovative solutions in the highly versatile financial sector We are seeking askilled Senior Data Scientistto join our dynamic RegTech team working on cutting-edge projects that empower banks and financial institutions to navigate regulatory complexities with confidence. If you thrive in an agile environment and are excited by the challenge of working with the latest technology then you might be the perfect fit for our team.

About ACE

At ACE you will join a forward-looking consulting and RegTech firm in the financial heart of Amsterdam. We are specialised in regulatory change risk & data AI financial & non-financial risk and sustainable finance within the financial services sector. Together we future-proof regulatory change by combining strong human connections with innovative technology like our GenAI-enabled workbench RegAI. You will support financial institutions in their regulatory change management challenges enabled by our own AI solutions.

At ACE you will be part of more than just a niche consulting and RegTech firm. You will join an inclusive community where you can be yourself learn and grow and thrive. Our culture is built on authentic connections mutual commitments a shared passion for impact and bold leadership.

Working at ACE means being part of an ambitious dynamic and results-driven team that also knows how to have fun. You will collaborate with colleagues from over 10 different nationalities where every member is a trusted adviser and valued for their uniqueness. With our hybrid workplace model you balance high performance with personal well-being.

What will you do

As a data scientist you will be responsible for:

• Developing LLM applications using the latest technologies for embeddings retrieval strategies and prompt engineering;

• Creating RAG systems (chunking indexing reranking) with vector stores ontologies and knowledge graphs;

• Building agentic workflows using established frameworks (e.g. LangChain);

• Designing ETL/ELT for text and documents and build scalable data pipelines for ingestion preprocessing and labelling;

• Productionising models behind secure APIs with real-time inference

• Developing quick prototypes to test hypotheses in collaboration with non-technical colleagues;

• Staying up to date with the latest trends and technologies in data science and actively introducing them to the team.

• Encouraging knowledge sharing among the team members and promoting a collaborative work environment;

• Being the primary point of contact for both the team and other stakeholders within the company for overarching topics;

• Acting as the liaison for (external) stakeholders.

What you will bring

• A Masters degree in a relevant field such as Data Science Artificial Intelligence or Econometrics;

• 4 years of professional experience in applying GenAI and broader machine learning techniques;

• Hands-on experience with Python and established GenAI frameworks/standards (e.g. LangChain OpenAI API or similar);

• Solid understanding of GenAI risks (bias hallucination) and mitigation strategies;

• Hands-on experience with MLOps practices including model deployment monitoring and CI/CD for machine learning pipelines;

• Ability to work independently on code development taking ownership of tasks and delivering within agreed timelines;

• Confidence to raise concerns early if you foresee blockers or challenges that could impact progress;

• Proven ability to manage projects with expert team members and to provide guidance to juniors in the team;

• Strong communication skills both verbal and written in English with the ability to adjust your style to suit different perspectives and seniority levels. Especially being able to explain complex analytical concepts in non-technical terms to business users.

• Based in the Netherlands

Nice-to-Have

• Experience in implementing knowledge graphs document understanding (OCR layout parsing) and rerankers;

• Familiarity with Azure stack: Azure AI Foundry Container Apps etc.;

• Familiarity with the financial services sector and regulatory frameworks related to AI ethics privacy and data protection;

• Consulting experience.

What we offer

We are an equal opportunity employer. We celebrate diversity and are committed to creating an inclusive environment for all employees. JoiningACE means becoming part of a culture that values you as an individual prioritizes your work/life balance and encourages continuous learning and development. With the right balance we believe youll feel happier and more committed to your personal and professional growth which is an important focus area within our addition to a salary that is based on education expertise experience and performance benefits

you can expect include:

• Profit-sharing scheme;

• Non-contributory pension scheme;

• Flexible mobility allowance;

• 28 paid holidays;

• Sharing company value with virtual shares;

• Comprehensive on-the-job training to enhance your professional growth;

• Tailored trainings to elevate your skills;

• Personal development budget for your learning and growth;

• A commitment to the Great Place to Work initiative meaning you will work in an environment that nurtures your well-being and values inclusivity ensuring you thrive;

• Working for a company with an EcoVadis Gold certification showcasing our dedication to sustainability and ethical operations;

• Voluntary social -and leisure activities featuring Funky Fridays and an annual office trip.

Ready to make animpact

If you are eager to join a firm where you can truly be yourself leading with courage innovation and a deep commitment to making a positive impact and if youre ready to drive innovation in regulatory technology and make tangible impact on the financial sector we want tohear from you. Sodive right in andtoday!