Ingenico is the global leader in payments acceptance solutions. As the trusted technology partner for merchants, banks, acquirers, ISVs, payment aggregators and fintech customers, our world-class terminals, solutions and services enable the global ecosystem of payments acceptance. With 40 years of experience, innovation is integral to Ingenico’s approach and culture, inspiring our large and diverse community of experts who anticipate and help shape the evolution of commerce worldwide. At Ingenico, trust and sustainability are at the heart of everything we do.

This role is intended for a senior, high-impact individual contributor who is expected to operate with a high degree of autonomy, technical depth, and ownership. As a Senior AI / Data Scientist, you will be accountable for shaping and delivering AI-driven capabilities that directly support Ingenico’s payments and fintech platforms.

You will remain hands-on across the full ML lifecycle while also influencing architectural decisions, technical standards, and prioritization. The expectation is that you act as a trusted partner to engineering, product, and leadership, helping translate business needs into scalable, secure, and production-ready AI solutions.

Key Responsibilities

• Own and drive complex AI and advanced analytics initiatives
• Design and implement ML / AI solutions that operate at scale in high-throughput, low-latency, and regulated environments.
• Act as a technical authority for predictive analytics, ML modeling, and data-driven decisioning.
• Partner closely with Global Head; Retail Go-to-Market to define and evolve core Data Engines supporting enterprise analytics and AI use cases.
• Ensure AI solutions are designed for production from day one, including robustness, monitoring, explainability, and lifecycle management.
• Contribute to and influence enterprise AI architecture, including data platforms, augmented search, and ML service patterns.
• Collaborate with platform, cloud, security, and compliance teams to meet enterprise standards and regulatory requirements.
• Proactively identify opportunities where AI and advanced analytics can create measurable business value
• Provide technical mentorship and raise the overall bar for AI and data practices within the organization

Technical & Professional Requirements

Required Experience

• Years of relevant experience in data science, machine learning, or applied AI, with a strong track record of production deployments.
• Demonstrated ability to independently lead complex ML initiatives end to end.
• Deep understanding of predictive modeling, feature engineering, and model evaluation.
• Strong software engineering foundations and experience working within SDLC-governed environments.
• Hands-on experience with microservices and API-based system design.
• Solid experience with at least one major cloud platform (AWS, GCP, or Azure).
• Experience working with large-scale, high-volume datasets, preferably in payments, fintech, or other regulated industries.
• Understanding non-functional requirements such as security, data privacy, resiliency, and observability.
• Experience collaborating across large, matrixed organizations with multiple stakeholders.
• Experience designing scalable data pipelines and analytics platforms.
• Practical exposure to MLOps and DataOps practices, including CI/CD, monitoring, and governance.
• Ability to balance research, experimentation, and delivery under real-world constraints.

Soft Skills & Ways of Working

• Strong ownership mindset with the ability to operate autonomously.
• Pragmatic decision-maker who balances technical excellence with business needs.
• Clear and concise communicator, comfortable influencing senior technical and non-technical stakeholders.
• Ability to challenge assumptions constructively and drive alignment.
• Mentorship-oriented, raising team capability through example and guidance.

Education & Background (Preferred)

• Degree in Computer Science, Artificial Intelligence, Data Science, or a related field.
• Advanced degree (MSc or PhD) in Machine Learning, Artificial Intelligence, or a related discipline is a strong plus.
• Background combining software engineering and data science is highly valued, particularly in enterprise or fintech environments.

As part of our values, we embrace diversity and inclusion at Ingenico. We are an equal opportunity employer and do not discriminate on the basis of an individual's race, national origin, color, gender, gender identity, gender expression, sexual orientation, religion, age, disability, marital status or any other protected characteristic under applicable law, whether actual or perceived. Ingenico welcomes and encourages applications from people with disabilities. Accommodations are available on request for candidates taking part in all aspects of the selection process
We want to adapt our processes and create a safe work environment that welcomes everyone.
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