Senior Data Scientist

ph3bLet's build the future of AI Data, together /b /h3 pAt Data Wizards, we're focused on 3 things: bData, AI you. /b /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 pbWhy join us? /b 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. /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 pbWe are currently looking for a senior data scientist for a fraud detection project where you would do: /b /p ul lipStrengthening our fraud models by improving how we collect, label, structure and engineer features from complex transactional and behavioral data /p /li lipDesigning, building and continuously refining fraud detection models using machine learning, graph analytics, anomaly detection and behavioral analytics /p /li lipTurning large volumes of transactional and customer data into actionable fraud intelligence through feature engineering, data enrichment and pattern discovery /p /li lipPartnering with Fraud Operations, Risk, Compliance and Product teams to spot emerging fraud trends and translate business needs into scalable analytical solutions /p /li lipDigging into complex fraud schemes, uncovering new attack vectors and building proactive detection strategies that protect the business financially and reputationally /p /li lipBut being a consulting company, we can't know in advance what your exact responsibilities will be /p /li /ul br/ pbYou’re a step closer to joining our team if you bring: /b /p pbBackground /b /p ul lipAt least 5 years of experience in data science, with a solid grounding in fraud detection, ideally within the financial sector /p /li lipA 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 /p /li /ul pbTechnical Skills /b /p ul lipHands-on experience processing large-scale, complex transactional and behavioral datasets using SQL, Python (Pandas) and distributed processing frameworks such as Spark or Hadoop /p /li lipProven 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 /p /li lipStrong Python skills, with experience deploying AI applications into production; familiarity with Java is a plus /p /li /ul pbSoft Skills /b /p ul lipbAutonomous Proactive: /b You take initiative and drive projects forward. /p /li lipbCurious Adaptive: /b You embrace learning and thrive in dynamic environments. /p /li lipbSolution-Oriented: /b You balance technical rigor with business impact. /p /li lipbClear Communicator: /b You simplify complex ideas for diverse audiences. /p /li lipbCollaborative Supportive: /b You work well in teams. /p /li lipbCreative Thinker: /b You find innovative solutions to challenging problems.br/ /p /li /ul ul lipbLanguages: /b Fluent in English, French and/or Dutch. /p /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 pbA compensation package that keeps you motivatedbr/ /b /p ul lipCompetitive salary /p /li lipMobility budget or company car with an electrical card /p /li lip30 days of paid time off /p /li lipA top-tier laptop smartphone with a subscription /p /li lipRepresentation allowances /p /li lipGroup, hospitalization dental insurance /p /li lipMeal vouchers eco-cheques /p /li lipOpportunity to earn company stock over time /p /li /ul pbA place to be your best self, grow, and thrivebr/ /b /p ul lipWork with the most innovative technologies in Data AI /p /li lipWork in an agile, collaborative environment /p /li lipHybrid work model: up to 3 days per week /p /li lipMonthly team-building events (plus one epic annual celebration) /p /li lipTailored training programs to fuel your career growth /p /li lipA 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 /p /li /ul pAnd most importantly, an organic-growing company where you are in control of your own path /p pbOur Recruitment Process: /b /p pQuick intro call with our HR team (5') /p pCulture check: HR