17 meilleures offres (data engineer, brussels, bru) (à pourvoir)

Data Scientist - Banking
NORRIQ —Bruxelles
- Travail hybride
- Machine learning
- Python
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Senior Data Engineer - Banking
NORRIQ —Bruxelles
- Travail hybride
- Informatique
- Microsoft Excel
- Anglais
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Data Science and AI Expert
Sopra Steria —Bruxelles
- Temps plein
- Azure
- Anglais
- Master
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Ontwikkelaar Data Lakehouse (m/v/x)
FOD Economie, K.M.O., Middenstand en Energie —Bruxelles
- Heures supplémentaires
- Microsoft Excel
- Doctorat
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il y a 7 jours
Intelligence DevOps Engineer (F/M/X)
EGOV Select —Evere
- Temps plein
- Bilingue
- Doctorat
- Informatique
Consultant in Data Science
Sia —Bruxelles
- Temps plein
- Travail hybride
- Master
- Machine learning
- IT
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Senior Data Engineer Consultant
Sia —Bruxelles
- Temps plein
- Travail hybride
- Informatique
- Azure
- Recherche
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Senior Data Scientist (VDAB)
Vlaanderen Connect. —Bruxelles
- Temps plein
- Expérience en gestion d'équipe
- Master
- Machine learning
- Travail à domicile
- Assurance groupe
il y a 14 jours
Innovation Mandate Opportunity Post Doc Software developer, Data acquisition & Advanced Imaging
Vrije Universiteit Brussel —Elsene
- Doctorat
- C++
- Université
Senior Data Scientist - GenAI
Artefact —Bruxelles
- Informatique
- Expérience en gestion d'équipe
- Doctorat
Senior Data Science Analyst - OptimusAI
McKinsey & Company —Bruxelles
- Microsoft Powerpoint
- Informatique
- Microsoft Excel
Google Senior Data Engineer
Devoteam G Cloud Belgium —Machelen
- Temps plein
- Travail hybride
- Azure
- Anglais
- Java
- Carte essence
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IT Expert
Wibit Consulting & Services (WibitCS) —Bruxelles
- Temps plein
- Azure
- Java
- Bases de données
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Analytics Lead
Datashift NV —Malines
- Temps plein
- Travail hybride
- Azure
- Anglais
- SQL
- Carte essence
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Microsoft Business Intelligence Expert - MS Fabric
Devoteam —Machelen
- Temps plein
- Azure
- Anglais
- SQL
Senior Consultant in Data science
Sia —Bruxelles
- Temps plein
- Travail hybride
- Master
- Machine learning
- IT
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Microsoft Business Intelligence Expert - MS Fabric
Devoteam Belgium —Machelen
- Temps plein
- Travail hybride
- Azure
- Anglais
- SQL
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Senior Data Engineer - Banking
NORRIQ —Bruxelles
Flexible Work Environment: Blend of on-site (50%) and remote work (50%) after onboarding. Work autonomously while maintaining alignment with the team and…
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Data Scientist - Banking
NORRIQ —Bruxelles
Present analytical findings and actionable recommendations to senior management and stakeholders. Support proposal writing and solution architecture for client…
Postuler rapidement

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Data Scientist - Banking

NORRIQ
Bruxelles

Postuler rapidement

Détails de l'emploi

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Français
Machine learning
Deep learning
Data science
Architecture de solutions
GitLab
Python

Description complète du poste

Data Scientist – Financial Services

About NORRIQ

NORRIQ is an international organization headquartered in Denmark and Belgium, with over 350 consultants dedicated to driving business transformation through innovative technology.

Our Financial Services (FS) practice includes 100+ specialists helping banks and financial institutions adapt to evolving client expectations, leverage cutting-edge technologies, and navigate increasingly complex regulatory environments.

At NORRIQ, we believe that people are our greatest asset. We foster a culture of innovation, growth, and excellence, offering tailored training, clear career paths, and a strong sense of community. Join us on this exciting journey and become a valued member of the NORRIQ family — connected for life!

The Opportunity

NORRIQ Financial Services is looking for a Data Scientist to accelerate our data analytics, machine learning, and generative AI initiatives. You will work with leading financial institutions to design, build, and deliver data-driven and AI-powered solutions that create tangible business impact.

Roles & Responsibilities

Client-Facing Responsibilities

Design and implement machine learning and generative AI solutions for complex financial use cases.
Conduct exploratory data analysis and build insightful dashboards or visualizations.
Present analytical findings and actionable recommendations to senior management and stakeholders.
Collaborate with cross-functional teams (Data Engineers, Business Analysts, Developers) to industrialize AI solutions.
Provide technical guidance and advisory on data science and AI best practices.

Technical Responsibilities

Develop and maintain AI and ML models using Python, scikit-learn, and deep learning frameworks.
Apply a wide range of analytical methodologies, including:
- Generative AI techniques (Prompt Engineering, RAG, Fine-tuning, Speech-to-Text, Agentic Applications, Image Generation & Interpretation)
- Predictive AI and classical machine learning approaches.
Contribute to production-grade AI applications using tools such as GitLab, DVC, and MLOps frameworks.
Ensure reproducibility, version control, and performance optimization across models and pipelines.
Create and maintain Jupyter notebooks for experimentation and documentation.

Internal Contributions

Contribute to NORRIQ’s AI & Data Science Center of Excellence through knowledge sharing and internal projects.
Support proposal writing and solution architecture for client engagements.
Stay at the forefront of developments in data science, AI, and GenAI frameworks (LangChain, Haystack, etc.).

Our Data scientist must have :

Fluency in English, and Dutch or French, with at least passive knowledge of the other
Belgian residency
At least few years of experience in a similar role.

What NORRIQ Offers You:

Be part of a fast-growing, international organization with a unique and people-centered culture
Enjoy a highly competitive compensation package, including a company car, iPhone, and additional allowances
Access extensive training programs in Belgium and Denmark, focusing on both technical expertise and soft skills
Work with a dynamic and diverse team of experienced professionals and young talent in a collaborative environment within the financial services sector

Join NORRIQ to elevate your career, contribute to transformative projects, and make a lasting impact in the financial services industry!

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