Machine Learning Engineer - Data Scientist

In AI&Analytics 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.

Do 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?

As Machine Learning Engineer - Data Scientist on our team, you will:

• Work closely with business stakeholders to understand and frame their challenges as analytical problems.
• Apply machine learning, statistical methods, and optimization techniques to develop innovative solutions that drive business impact.
• Design, build, and evaluate predictive and prescriptive models, ensuring their reliability and robustness.
• Lead the end-to-end lifecycle of ML products: from ideation and prototyping to deployment and ongoing evaluation in production.
• Collaborate with fellow Data Scientists to share knowledge, best practices, and continuously improve our methodologies.
• Ensure the quality and performance of your solutions through rigorous testing and continuous monitoring post-deployment.
• Contribute to our data science community by developing reusable assets, sharing your expertise, and participating in innovation initiatives.

• At least 2 years of experience as a Data Scientist/ML engineer or a similar analytical role.
• Master's degree in a relevant field (e.g., Applied Mathematics, Statistics, Data Science, Physics, Computer Science).
• Strong 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.
• Proficiency in Python and common data science libraries
• Familiarity with cloud computing environments.
• Excellent communication skills, with the ability to explain complex concepts to both technical and non-technical audiences.
• Fluent in English, as well as French or Dutch

And you are also:

• Passionate about solving business problems with data and analytics.
• Outcome-focused, able to balance technical excellence with business needs.
• Curious and eager to continuously learn and experiment with new techniques.
• Collaborative and thrive in team environments.
• Proactive, analytical, and solution-oriented.

An 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.

The benefits of working at an insurance company

From 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.

A job that respects your personal life and dreams

A 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.

You will benefit from sports classes at work, employee wellness programs and trainings, to keep you in great shape, both physically and mentally.

AXA 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. AXA Belgium We 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. Our four core values drive us every day to give our best for our customers while collaborating effectively with our colleagues: Customer First, Integrity, Courage, and One AXA.