Title:
Head of Data Science & AI Engineering

Company:
Ipsen Pharma (SAS)

About Ipsen:

Ipsen is a mid-sized global biopharmaceutical company with a focus on transformative medicines in three therapeutic areas: Oncology, Rare Disease and Neuroscience. Supported by nearly 100 years of development experience, with global hubs in the U.S., France and the U.K, we tackle areas of high unmet medical need through research and innovation.

Our passionate teams in more than 40 countries are focused on what matters and endeavor every day to bring medicines to patients in 88 countries. We build a workplace that champions human-centric leadership and fosters a culture of collaboration, excellence and impact. At Ipsen, every individual is empowered to be their true selves, grow and thrive alongside the company's success. Join us on our journey towards sustainable growth, creating real impact on patients and society!

For more information, visit us at https://www.ipsen.com/ and follow our latest news on LinkedIn and Instagram.

Job Description:

Ipsen is building its new Global Data & AI division - a central hub to unlock the power of data and artificial intelligence across the entire organization. Join us and shape the technical strategy that powers advanced analytics and AI solutions to deliver business value and innovation at scale.

Your key responsibilities

• Design, implement, and govern the technical strategy for enterprise advanced analytics and AI, aligned with Ipsen's business Data & AI strategy.
• Lead development of robust, scalable AI capabilities, standards, and best practices that comply with internal policies and external regulations.
• Collaborate deeply with business domains to understand needs and deliver impactful data/AI solutions.
• Provide technical leadership for AI and advanced analytics initiatives across their full lifecycle: feasibility, MVP, scaling, deployment, and maintenance.
• Oversee seamless integration of AI models into systems and ensure their deployment and monitoring in production environments.
• Evaluate and support the adoption of third-party AI solutions to enhance efficiency and innovation.
• Develop and monitor metrics to measure performance and business impact of AI initiatives; regularly report insights to senior leadership.
• Lead the Data Science & AI Center of Excellence, fostering a vibrant engineering community and promoting data science capabilities across Ipsen.
• Manage and mentor a team of data scientists, data engineers, and AI engineers, encouraging continuous learning and adoption of new technologies.
• Collaborate with cross-functional teams (business, data, platform engineering) to deliver successful AI products.
• Manage vendor relationships and procurement to support strategic objectives.

Your profile & expertise

• 10+ years of experience in data science, AI, or related fields, including 5+ years in leadership roles.
• Proven experience leading data science and AI teams, ideally in pharma or healthcare.
• Extensive experience developing internal AI products and integrating third-party AI solutions.
• Expert in Data Science, AI (ML, Deep Learning, NLP, Generative AI, LLMs).
• Proficient in ML/DL frameworks (Scikit-learn, PyTorch, MLflow).
• Skilled in data analysis (Pandas), transformation (DBT), and data management.
• Proficient in cloud services (Azure, AWS, Databricks).
• Experienced in programming (Python, R, SQL), Agile methodology, and collaboration tools (JIRA, Confluence).
• Capable in solution architecture, change management, and UX/UI design.
• Fluent in English (mandatory).

Why join Ipsen?

• A strategic role shaping Ipsen's AI and advanced analytics landscape.
• A collaborative, innovative, and international environment.
• Autonomy, impact, and exciting growth opportunities.

Interested? Let's talk - apply now or contact us to learn more.

Dans le cadre de ses recrutements IPSEN s'engage au respect de l'égalité de traitement des candidats, indépendamment du sexe, de l'âge, de l'orientation sexuelle, de l'origine ethnique, de la couleur de la peau, de la nationalité, du handicap ou de l'appartenance à un syndicat.