You will contribute to the complete lifecycle of AI and machine learning solutions, from problem framing and experimentation to deployment, monitoring and adoption, ensuring that solutions are scientifically robust, operationally reliable and aligned with business needs.

• Design and deliver AI and machine learning solutions that address business challenges across functions.

• Translate business opportunities into analytical approaches, balancing technical excellence with practical outcomes.

• Support the adoption of scalable, production-ready data products and machine learning models.

• Collaborate with digital, engineering and business teams to accelerate innovation and maximize value creation.

• Champion data quality, model governance and responsible AI practices.

• Contribute to a culture of continuous learning, experimentation and knowledge sharing.

• Help shape a collaborative environment that encourages innovation, simplicity and impact.

Main responsibilities

• Design, develop and deploy machine learning, forecasting, optimization, NLP and Generative AI solutions that support business objectives.

• Own projects end-to-end, from problem definition and experimentation through deployment, monitoring and continuous improvement.

• Build scalable and maintainable analytical products, services and APIs using modern software engineering practices.

• Partner with product managers, engineers and business stakeholders to prioritize opportunities and translate requirements into actionable solutions.

• Establish and promote best practices for data quality, model development, validation and lifecycle management.

• Communicate insights and recommendations through clear data storytelling and stakeholder-focused visualizations.

• Contribute to the evolution of Opella’s AI and machine learning capabilities, including MLOps, cloud platforms and emerging technologies.

About you

• Experience delivering machine learning and AI solutions in production environments, from experimentation to deployment and monitoring.

• Strong expertise in Python and modern data science ecosystems, with experience building analytical applications and services.

• Solid understanding of machine learning, statistics and data-driven problem solving, with experience applying these techniques to business challenges.

• Experience working with cloud platforms and collaborative development practices, including version control, testing and CI/CD pipelines.

• Ability to communicate complex technical concepts to a broad range of stakeholders and work effectively in cross-functional teams.

• Degree in Data Science, Computer Science, Engineering, Mathematics, Statistics or another relevant quantitative discipline, or equivalent practical experience.

• Professional proficiency in English.

This is more than the next step in your career, it’s a chance to lead change and help reinvent self-care for the world. If you’re ready to challenge, inspire and deliver impact that matters, we’re ready for you. We are challengers. We are Opella.

About Us:

Opella is the self-care challenger with the purest and third-largest portfolio in the Over The Counter (OTC) & Vitamins, Minerals & Supplements (VMS) market globally.

Our mission is to bring health in people’s hands by making self-care as simple as it should be. For half a billion consumers worldwide – and counting.

At the core of this mission is our 100 loved brands, our 11,000-strong global team, our 13 best-in-class manufacturing sites and 4 specialized science and innovation development centers. Headquartered in France, Opella is the proud maker of many of the world’s most loved brands, including Allegra, Buscopan, Doliprane, Dulcolax, Enterogermina, Essentiale and Mucosolvan.

As a globally certified B Corp company, we are active players in the journey towards healthier people and planet. Find out more about our mission at www.opella.com .