8 beste vacatures voor de functie van data engineer in waterloo (nieuwe medewerkers gezocht)

Expert Fraud Data Scientist Consultant
Keystone Solutions —Brussel
- Computerwetenschappen
- Doctoraat
- Java
Senior Data Scientist - ML Engineer
Devoteam Belgium —Machelen
- Voltijds
- Hybride werken
- Computerwetenschappen
- Azure
- Doctoraat
Snel solliciteren
Decision Intelligence Developer
Deloitte —Zaventem
- Deeltijds
- Azure
- ERP systemen
- Databases
Senior Power BI Developer
Thoughtlabs —Brussel
- Deeltijds
- SQL
ACPV Senior Data Engineer
Vector Synergy —Eigenbrakel
- Bachelor
Snel solliciteren
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Senior Functional Analyst
ARHS Developments Belgium —Brussel
- Voltijds
- Hybride werken
- Azure
- Systeem ontwerpen
- SQL
Snel solliciteren
Functional Data Engineer - HQ Brussel
BNP Paribas Fortis —Brussel
Senior Data Scientist - GenAI
Artefact —Brussel
- Computerwetenschappen
- Management
- Doctoraat

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Expert Fraud Data Scientist Consultant

Keystone Solutions
Brussel

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Vacaturegegevens

Kwalificaties

Computerwetenschappen
Doctoraat
Spark
Java
Master
SQL
Pandas
Analytisch vermogen
Machine learning
Fraudepreventie en -opsporing
Artificiële intelligentie
Python
Hadoop

Volledige vacaturetekst

Mission Overview:

This is a consultancy mission at a client site, representing Keystone Solutions. As a Keystone Solutions consultant, you will be hired to work on client projects, bringing your expertise and values to every engagement.

Role Description:

Contribute to the Artificial Intelligence Tribe, delivering efficient and seamless banking experiences through AI applications.
Work alongside a team of experts including Data Scientists, Machine Learning Engineers, Business Analysts, Scrum Masters, Product Owners, and Managers.
Develop AI solutions addressing business challenges such as virtual assistants, advanced AI tools, and process automation.
Act as a Senior Data Scientist specializing in Fraud Detection, with at least 5 years of experience in developing AI applications.

Responsibilities:

Enhance fraud models by collecting, labeling, curating, structuring, and feature engineering data.
Design, develop, and improve fraud detection models using machine learning, graph analytics, anomaly detection, and behavioral analytics.
Transform large volumes of transactional and customer data into actionable fraud intelligence through feature engineering, data enrichment, and pattern discovery.
Collaborate with Fraud Operations, Risk, Compliance, and Product teams to identify fraud trends and translate business needs into scalable analytical solutions.
Investigate complex fraud schemes, uncover new attack vectors, and proactively develop detection strategies to mitigate risks.

Language Requirements:

Fluent English

Education:

Master’s degree in a quantitative field such as statistics, computer science, or engineering, ideally with a focus on Fraud Detection. A PhD is a plus. Candidates from other academic backgrounds with strong analytical skills are also welcome.

Required Experience / Knowledge:

At least 7 years of experience in data science, preferably in the financial sector with a focus on fraud detection. Candidates with less experience may be considered if they have strong academic credentials.

Technical Experience (Mandatory):

Data Engineering & Management: Hands-on experience manipulating and processing large-scale datasets using SQL, Python (Pandas), Spark/Hadoop, and distributed data processing technologies. Skilled at collecting, enriching, structuring, and validating complex transactional and behavioral data for fraud analytics and machine learning.
Data Science & Artificial Intelligence: Application of advanced analytical techniques including supervised and unsupervised machine learning, anomaly detection, graph analytics, and network analysis. Experience in building data-centric AI solutions with robust software engineering, high-quality datasets, and state-of-the-art modeling approaches. Experience with generative AI is a plus.
Programming language: Extensive experience in Python and deploying AI applications in production. Java experience is a plus.

Soft Skills:

Team player
Business oriented
Quick self-starter, pro-active attitude
Good communication and influencing skills
Good analytical and synthesis skills
Autonomy, commitment, and perseverance
Ability to work in a dynamic and multi-cultural environment

Keystone Solutions Advantages:

Consultancy Nature: You will work on-site as a consultant, representing Keystone Solutions and delivering value to diverse client environments.
Dynamic Projects: Experience a variety of challenges and projects across multiple client settings, broadening your expertise.
Turbo-Charged Learning: Benefit from continuous professional development and exposure to cutting-edge technologies and methodologies.
Skyrocketing Ambition: Keystone Solutions is committed to your career growth, offering opportunities to advance within the consultancy framework.
Values: As a K-Stone, you bring integrity, excellence, and collaboration to every mission.

Call to Action:

If you are ready to tackle technical and strategic challenges in a dynamic consultancy environment, apply today .

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data engineer vacatures in waterloo

Expert Fraud Data Scientist Consultant

Senior Data Scientist - ML Engineer

Decision Intelligence Developer

Senior Power BI Developer

ACPV Senior Data Engineer

Senior Functional Analyst

Functional Data Engineer - HQ Brussel

Senior Data Scientist - GenAI

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