Head of Data Science - AI

About The Role

Swift, the world’s leading provider of secure financial messaging services, is seeking a Head of Data Science - AI to lead the development of AI models that address complex business challenges and drive innovation. This role is based in Brussels, Belgium, and offers a hybrid work environment.

Key Responsibilities

• Lead and Mentor: Guide a global team of data scientists, fostering collaboration and innovation while setting clear objectives.
• AI Solution Development: Oversee the end-to-end development of AI and machine learning solutions, ensuring alignment with product roadmaps and business use cases.
• Business Problem Translation: Convert complex business problems into structured data science plans that contribute to impactful business cases.
• Technical Excellence: Promote the use of standard methodologies in data science, model validation, and explainability, with a focus on accuracy and performance.
• Responsible AI Practices: Ensure transparency, fairness, and accountability in all AI projects, upholding privacy and data protection standards.
• Cross-Department Collaboration: Work with various teams to align AI initiatives with business goals and communicate technical concepts in actionable terms.
• Research and Innovation: Continuously explore and implement new AI and machine learning techniques to maintain Swift’s leadership in AI innovation.
• Project Management: Lead project scope, timelines, and prioritization to ensure successful delivery of AI projects.

Required Qualifications

• 5-10 years of experience in developing and delivering AI solutions.
• Deep understanding of the AI development lifecycle, including data analysis, preparation, modeling, and deployment.
• Expertise in machine learning and deep learning techniques, with a focus on model explainability.
• Proven track record in integrating responsible AI principles and privacy measures.
• Strong experience in translating business problems into data science projects.
• Leadership experience in managing global data science teams.
• Excellent communication skills to translate technical findings into business insights.

Preferred Qualifications

• Advanced degree in Data Science, Computer Science, Engineering, or related field.
• Certifications in machine learning, data science, or AI.
• Experience in the financial services industry.
• Ability to operate in a fast-paced, evolving technological landscape.

What We Offer

• Career Control: Opportunities to shape your career path.
• Competitive Package: Attractive compensation and benefits.
• Performance Support: Resources to help you perform at your best.
• Inclusive Environment: A workplace where everyone’s voice counts and you can reach your full potential.

Swift is committed to creating an environment where unique individuals can thrive, bringing diverse perspectives to the financial industry and the world. If you are excited about this role, we encourage you to apply even if you do not meet every single qualification.