Ph3Machine Learning Engineer – Data Scientist /h3 h3Job description /h3 pIn AIAnalytics Solutions team, we want to ensure that we’re bringing smart decision making (human augmentation or automated) to the forefront of our processes/journeys by establishing a data and experimentation culture that could ultimately become a competitive advantage in today’s fast-changing world. /p pDo you have a passion for uncovering insights from data and turning them into impactful solutions? Are you excited to create business value out of data? /p h3As Machine Learning Engineer - Data Scientist on our team, you will: /h3 ul liWork closely with business stakeholders to understand and frame their challenges as analytical problems. /li liApply machine learning, statistical methods, and optimization techniques to develop innovative solutions that drive business impact. /li liDesign, build, and evaluate predictive and prescriptive models, ensuring their reliability and robustness. /li liLead the end-to-end lifecycle of ML products: from ideation and prototyping to deployment and ongoing evaluation in production. /li liCollaborate with fellow Data Scientists to share knowledge, best practices, and continuously improve our methodologies. /li liEnsure the quality and performance of your solutions through rigorous testing and continuous monitoring post-deployment. /li liContribute to our data science community by developing reusable assets, sharing your expertise, and participating in innovation initiatives. /li /ul h3Profile /h3 pAs Machine Learning Engineer – Data Scientist, you have: /p ul liAt least 2 years of experience as a Data Scientist/ML engineer or a similar analytical role. /li liMaster’s degree in a relevant field (e.g., Applied Mathematics, Statistics, Data Science, Physics, Computer Science). /li liStrong practical knowledge of machine learning, statistics, and optimization techniques, with hands‑on experience in applying them to real‑world problems. Experience in developing, evaluating, and deploying end‑to‑end data science solutions. /li liProficiency in Python and common data science libraries /li liFamiliarity with cloud computing environments. /li liExcellent communication skills, with the ability to explain complex concepts to both technical and non‑technical audiences. /li liFluent in English, as well as French or Dutch /li /ul pAnd you are also: /p ul liPassionate about solving business problems with data and analytics. /li liOutcome‑focused, able to balance technical excellence with business needs. /li liCurious and eager to continuously learn and experiment with new techniques. /li liCollaborative and thrive in team environments. /li liProactive, analytical, and solution‑oriented. /li /ul pAXA aims to be a reflection of the diverse society in which we live and has therefore been pursuing a policy of active diversity, non‑discrimination, and equal opportunities for many years. In this context, we guarantee equal treatment and access to recruitment, regardless of age, origin, cultural background, disability, gender, sexual orientation, or other characteristics. /p pbAXA Belgium /b /p pWe are more than 3000 employees, partnering with 3200 brokers, located in our modern offices in Brussels, Antwerp, Eupen, and Liège. We are serving 3 million customers, and we are proud to be the number 1 car insurer. It is our ambition to not only be a payer but rather a real partner for our customers. /p pbCustomer First, Integrity, Courage, and One AXA. /b /p pAt AXA, we reject unfair or unlawful discrimination in any form. More info in our Diversity Inclusion Policy. /p h3What we offer /h3 h3A nice reward for your work /h3 pAn attractive salary, supplemented with discretionary personal and collective bonuses and of course, meal and eco vouchers, the full reimbursement of public transport, and a cafeteria plan. /p h3The benefits of working at an insurance company /h3 pFrom group to hospitalization insurance and ambulatory care (family members can also join at an advantageous rate) and with up to 30% discount on all additional insurance products. /p h3A job that respects your personal life and dreams /h3 pA flexible schedule of 35 hours per week, 36 days of leave per year to recharge, as well as the option to work partially from home. /p pYou will benefit from sports classes at work, employee wellness programs and trainings, to keep you in great shape, both physically and mentally. /p /p #J-18808-Ljbffr