Founded in 2020 in Belgium, ATS4IT is part of the Moongy Group, established to strengthen agap2IT’s presence in Europe. Since 2021 we expanded further with the opening of our Danish branch in Copenhagen, and our Spanish brand in Madrid, reinforcing our commitment to being a key player in the European technology landscape. Proximity, transparency, and collaboration define our approach at ATS. We aim to be your trusted partner and the first choice for your technological challenges
Data Scientist - GenAI & Dataiku Specialist
Location: Brussels, Belgium
Remote Work Possibility: yes (3 days a week on the client´s office)
Type of Contract: Permanent Contract preferably
Mandatory Languages: French OR Dutch + English (C1 minimum)
Eligibility: Candidates must possess European nationality or a valid work permit for Belgium.
Job Overview:
We’re on the lookout for a talented and forward-thinking GenAI & Dataiku Specialist to join our data science initiatives. You'll be working at the intersection of Generative AI, conversational data analysis, and business impact—leveraging Dataiku to build scalable data workflows, deploy models, and empower non-technical teams with smart solutions.
If you're passionate about NLP, LLMs, and helping businesses make sense of unstructured data, this is your moment.
Key Requirements:
- Minimum 5 years of experience in data science roles.
- Strong expertise with Dataiku for data preparation, modeling, and deployment.
- Proven experience with GenAI and LLM technologies.
- Advanced proficiency in Python, SQL, and common ML frameworks
- Hands-on expertise with unstructured text data and applying advanced analytics.
- Solid knowledge of machine learning, deep learning, and statistical analysis.
- Ability to work independently and manage multiple projects.
- Mandatory Languages: French OR Dutch + English (C1 minimum)
Nice to have:
- Experience working in multi-lingual, international environments.
- Knowledge of cloud platforms (AWS, Azure, or GCP) for deploying models.
- Familiarity with tools like LangChain, Vector DBs, or prompt evaluation frameworks.
Responsabilities:
- Analyze and process customer conversations (chats, call transcripts) using Dataiku (visual recipes & code) and LLMs (OpenAI, Anthropic, Mistral, etc.).
- Apply advanced GenAI/NLP techniques to extract meaningful insights from unstructured text data.
- Collaborate with teams across Customer Service, Operations, and Marketing to translate data into actionable insights.
- Detect and categorize signals of customer dissatisfaction, providing clear reporting and recommendations to stakeholders.
- Use prompt engineering to surface topics, intents, and behavioral indicators.
- Build web apps and solutions in Dataiku to democratize insight generation for non-technical users.
- Ensure all work complies with data privacy regulations and ethical AI standards.
- Actively contribute to the Data Science Center of Excellence and support internal knowledge sharing initiatives.
What We Offer
- DKV Insurance
- Free training (technical, behavioral, language) and certifications
- Continuous and personalized career progression support
- Opportunities to work on projects with cutting-edge technologies
- Opportunity to work in a global network of companies, with access to a wide range of challenging projects in different European markets.
At ATS4IT, part of the agap2IT family, we promote equality and value diversity. We foster a safe, inclusive environment where opportunities are equal for all. We welcome applications from individuals of all backgrounds, based solely on merit. Join us and be part of the future!
By submitting my CV, I acknowledge that my personal data will be handled by agap2. In fact, agap2, as the controller, will handle my personal data to manage the recruitment process. In particular, the personal data collected by this means will be used for the performance of the pre-contractual procedures necessary for the management of the recruitment process and, specifically, for the following purposes:
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- Interviews;
- Conclusion of the employment contract;
- Response to business opportunities, among other specific independent purposes that may be appropriately communicated.
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