Senior Data Scientist

ACE Company; Amsterdam; On-site; EUR 70,000 - 100,000; Full time

Benefits offered by this job

Non-contributory pension

Flexible mobility allowance

28 paid holidays

Comprehensive on-the-job training

Tailored trainings

Great Place to Work environment

EcoVadis certification

Job summary

ACE is growing its RegTech team in Amsterdam and seeks a Senior Data Scientist to build innovative GenAI-driven solutions for the European financial sector. You will work on end-to-end LLM applications, collaborating with internal teams and clients.

The role emphasizes responsible AI, LLMOps, and staying ahead of data science trends. Hybrid work in Amsterdam with a supportive culture and opportunities for training and growth.

Qualifications

• 6+ years of relevant data science experience.
• At least 3 years applying GenAI and ML techniques.
• Hands-on Python experience and LangChain familiarity.
• Ability to work independently and in teams.
• Experience with LLMOps: deployment, pipelines, observability.
• Strong English communication skills.

Responsibilities

• Build end-to-end LLM applications with document ingestion and retrieval workflows.
• Define and embed LLMOps and Responsible AI practices.
• Stay up to date with data science trends and share knowledge.
• Collaborate across teams to foster a collaborative environment.

Skills

GenAI

Python

LLMOps

Responsible AI

Leadership

English communication

Tools

LangChain

Job description

We are growing! Are you a passionate Data Scientist, eager to create innovative solutions that make a lasting impact on the European financial sector? We are seeking experienced Senior Data Scientists to join our dynamic RegTech team. If you like working on cutting‑edge projects that empower financial institutions to navigate regulatory complexities with confidence, get excited by the challenge of working with the latest technology, and thrive in an agile environment, then we want to speak with you!

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 a 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

Working in close collaboration with internal teams and clients, you will build reliable systems that grow with the product over time.

Your key responsibilities are:

• Building and leading the development of end‑to‑end LLM applications using the latest advanced technologies for document ingestion, embeddings, retrieval strategies, and agentic workflows;
• Defining and embedding LLMOps and Responsible AI practices;
• 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;

Experience you will bring

• 6+ years of relevant experience with 3+ years of professional experience in applying GenAI and broader machine learning techniques;
• Hands‑on experience with Python and established GenAI frameworks/standards/workflows (e.g. LangChain);
• Ability to work independently and as part of a broader team, and take ownership of your code and delivery, with the confidence to raise concerns early when you foresee blockers or challenges;
• Pragmatic instinct for when speed matters most and when depth does, and the judgement to switch between them;
• Hands‑on experience with LLMOps practices: deploying LLM applications behind secure APIs, building evaluation and regression pipelines, prompt and version management, and production observability;
• Experience with responsible AI practices such as PII filtering, hallucination and bias mitigation, and output guardrails;
• Proven ability to play a senior role in projects 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.

Nice‑to‑Have

• Experience implementing knowledge graphs;
• Familiarity with Azure stack: Azure Functions, Container Apps, etc.;
• Familiarity with the financial services sector and regulatory frameworks related to AI ethics, privacy, and data protection;
• Consulting experience.

These requirements give a direction of the profile we are looking for. If you do not meet all requirements, but feel you are a good fit, we invite you to apply.

What we offer

• Non‑contributory pension scheme;
• Flexible mobility allowance;
• 28 paid holidays;
• Comprehensive on‑the‑job training to enhance your professional growth;
• Tailored trainings to elevate your skills;
• A commitment to the ‘Great Place to Work’ initiative, meaning you will work in an environment that nurtures your well‑being;
• Working for a company with an EcoVadis certification, showcasing our dedication to sustainability and ethical operations;

This is a hybrid role based in Amsterdam (60% in‑office). We are not hiring for fully remote positions.