Senior Data Scientist

ph3Let’s build the future of AI Data, together /h3 pAt Data Wizards, we're focused on 3 things: Data, AI you. /p pWe'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. /p h3Why join us? /h3 pApart 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. /p pWe 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 /p h3We are currently looking for a senior data scientist for a fraud detection project where you would do: /h3 ul liStrengthening our fraud models by improving how we collect, label, structure and engineer features from complex transactional and behavioral data /li liDesigning, building and continuously refining fraud detection models using machine learning, graph analytics, anomaly detection and behavioral analytics /li liTurning large volumes of transactional and customer data into actionable fraud intelligence through feature engineering, data enrichment and pattern discovery /li liPartnering with Fraud Operations, Risk, Compliance and Product teams to spot emerging fraud trends and translate business needs into scalable analytical solutions /li liDigging into complex fraud schemes, uncovering new attack vectors and building proactive detection strategies that protect the business financially and reputationally /li liBut being a consulting company, we can't know in advance what your exact responsibilities will be /li /ul h3You’re a step closer to joining our team if you bring: /h3 h3Background /h3 ul liAt least 5 years of experience in data science, with a solid grounding in fraud detection, ideally within the financial sector /li liA 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 /li /ul h3Technical Skills /h3 ul liHands‑on experience processing large‑scale, complex transactional and behavioral datasets using SQL, Python (Pandas) and distributed processing frameworks such as Spark or Hadoop /li liProven 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 /li liStrong Python skills, with experience deploying AI applications into production; familiarity with Java is a plus /li /ul h3Soft Skills /h3 ul liAutonomous Proactive: You take initiative and drive projects forward. /li liCurious Adaptive: You embrace learning and thrive in dynamic environments. /li liSolution‑Oriented: You balance technical rigor with business impact. /li liClear Communicator: You simplify complex ideas for diverse audiences. /li liCollaborative Supportive: You work well in teams. /li liCreative Thinker: You find innovative solutions to challenging problems. /li liLanguages: Fluent in English, French and/or Dutch. /li /ul pWe 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. /p h3Here’s a sneak peek at

what we offer
/h3 ul liCompetitive salary /li liMobility budget or company car with an electrical card /li li30 days of paid time off /li liA top‑tier laptop smartphone with a subscription /li liRepresentation allowances /li liGroup, hospitalization dental insurance /li liMeal vouchers eco-cheques /li liOpportunity to earn company stock over time /li /ul h3A place to be your best self, grow, and thrive /h3 ul liWork with the most innovative technologies in Data AI /li liWork in an agile, collaborative environment /li liHybrid work model: up to 3 days per week /li liMonthly team‑building events (plus one epic annual celebration) /li liTailored training programs to fuel your career growth /li liA 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. /li /ul h3Our Recruitment Process /h3 ul liQuick intro call with our HR team (5') /li liCulture check: HR Interview (30') /li liTechnical check: Wizard assessment (25') Technical Interview with our wizards (1h) /li liPartner Meet-up (30') /li /ul h3Why this process? /h3 pWe 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 fi