Senior Data Scientist

Data Wizards

Brussel Hoofdstad

Sur place

EUR 70 000 - 120 000

Plein temps

Il y a 7 jours
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Avantages offerts par ce poste

Mobility budget or company car with an
30 days of paid time off
Top-tier laptop & smartphone with a订订
Stock options over time

Résumé du poste

Data Wizards is seeking a Senior Data Scientist for a fraud detection project. You will strengthen models, engineer features from complex data, and collaborate with cross-functional teams to translate business needs into scalable analytics.

You will work on cutting-edge ML methods, anomaly detection and graph analytics while operating in a consulting context where responsibilities may evolve with client needs.

Qualifications

  • 5+ years of data science experience with fraud detection in finance.
  • Master's degree in statistics, CS or engineering; PhD is a plus.
  • Strong SQL, Python and experience with large-scale data processing.

Responsabilités

  • Improve fraud models by feature engineering on large transactional and behavioral data.
  • Design, build and refine models using ML, graph analytics and anomaly detection.
  • Convert large data volumes into actionable fraud intelligence for stakeholders.
  • Collaborate with Fraud Operations, Risk, Compliance and Product teams.
  • Investigate complex fraud schemes and develop proactive detection strategies.
  • Role may evolve due to consulting nature of the company.

Connaissances

Fraud detection
Data science
Machine learning
Anomaly detection
Graph analytics
Network analysis
Feature engineering
Production deployment
Generative AI

Formation

Master's degree in a quantitative field
PhD is a plus

Outils

SQL
Python
Spark
Hadoop
Java

Description du poste

Let's build the future of AI & Data, together

At Data Wizards, we're focused on 3 things: Data, AI & you.

We're a small team who genuinely love digging into data that makes a real difference for the companies we work with, and who want to discover how AI and data can help companies out there.

Why join us? Apart from tackling exciting challenges with passionate people in an environment that wants to see you thrive, you'll be part of a young company that keeps its feet on the ground, its eyes on the stars, and believes the best growth comes from the unique magic each Wizard brings.

We are continuously on the lookout for bright data engineers, data scientists, machine learning engineers, AI engineers, and data analysts. But this job description is for Senior Data Scientists out there feeling the magic in them and ready to spread it

We are currently looking for a senior data scientist for a fraud detection project where you would do:

  • Strengthening our fraud models by improving how we collect, label, structure and engineer features from complex transactional and behavioral data
  • Designing, building and continuously refining fraud detection models using machine learning, graph analytics, anomaly detection and behavioral analytics
  • Turning large volumes of transactional and customer data into actionable fraud intelligence through feature engineering, data enrichment and pattern discovery
  • Partnering with Fraud Operations, Risk, Compliance and Product teams to spot emerging fraud trends and translate business needs into scalable analytical solutions
  • Digging into complex fraud schemes, uncovering new attack vectors and building proactive detection strategies that protect the business financially and reputationally
  • But being a consulting company, we can't know in advance what your exact responsibilities will be
Job requirements

You’re a step closer to joining our team if you bring:

Background
  • At least 5 years of experience in data science, with a solid grounding in fraud detection, ideally within the financial sector
  • A Master's degree in a quantitative field such as statistics, computer science or engineering. A PhD is a plus, and candidates with a different academic background but strong analytical skills are equally welcome
Technical Skills
  • Hands-on experience processing large-scale, complex transactional and behavioral datasets using SQL, Python (Pandas) and distributed processing frameworks such as Spark or Hadoop
  • Proven ability to apply supervised and unsupervised machine learning, anomaly detection, graph analytics and network analysis to detect, investigate and prevent fraud. Experience with generative AI is a plus
  • Strong Python skills, with experience deploying AI applications into production; familiarity with Java is a plus
Soft Skills
  • Autonomous & Proactive: You take initiative and drive projects forward.
  • Curious & Adaptive: You embrace learning and thrive in dynamic environments.
  • Solution-Oriented: You balance technical rigor with business impact.
  • Clear Communicator: You simplify complex ideas for diverse audiences.
  • Collaborative & Supportive: You work well in teams.
  • Creative Thinker: You find innovative solutions to challenging problems.
  • Languages: Fluent in English, French and/or Dutch.

We know that finding the right job isn’t just about the role, it’s about what’s in it for you, too. While we’re a start-up, we’re big on taking care of our people right from day one.

Here’s a sneak peek at what we offer:

A compensation package that keeps you motivated

  • Mobility budget or company car with an electrical card
  • 30 days of paid time off
  • A top-tier laptop & smartphone with a subscription
  • Opportunity to earn company stock over time
A place to be your best self, grow, and thrive
  • Work with the most innovative technologies in Data & AI
  • Work in an agile, collaborative environment
  • Hybrid work model: up to 3 days per week
  • Monthly team-building events (plus one epic annual celebration)
  • Tailored training programs to fuel your career growth
  • A cool, ergonomic office with creative meeting spaces, a Nintendo Switch for spontaneous Mario Kart battles, a massage chair for those deep-thinking moments and fresh coffee & drinks to keep you energized

And most importantly, an organic-growing company where you are in control of your own path!

Our Recruitment Process:

Quick intro call with our HR team (5')

Technical check: Wizard assessment (25') & Technical Interview with our wizards (1h)

Why this process?

We want you to get a genuine feel for who we are, and we want to make sure we're aligned on what truly matters. Rather than rushing the process, we focus on finding the right fit, so that six months from now, both sides are still convinced they made the right decision.

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