At a Glance
- Tasks: Lead AI-driven metadata governance and shape data foundations for patient solutions.
- Company: Global biopharmaceutical company focused on neurology and immunology.
- Benefits: Hybrid work model, collaborative culture, and opportunities for personal growth.
- Other info: Join a diverse team of over 9,000 people inspired by patients.
- Why this job: Make a real impact in healthcare by advancing research through innovative data initiatives.
- Qualifications: Experience in data management and a passion for AI and governance.
The predicted salary is between 72000 - 88000 £ per year.
UCB is a global biopharmaceutical company focused on neurology and immunology. We are over 9,000 people worldwide, inspired by patients and driven by science.
This hybrid role shapes data foundations across Patient Solutions, driving metadata governance, ontology management and AI-enabled data initiatives to advance research and business outcomes.
We value collaboration, curiosity and a human focus as we push forward together.
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Data Foundations Lead: AI-Driven Metadata & Governance employer: UCB S.A.
UCB is an exceptional employer that prioritises innovation and collaboration, making a significant impact in the biopharmaceutical industry. With a supportive work culture that values inclusivity and personal growth, employees are encouraged to explore their potential while contributing to meaningful patient solutions. Located in Slough, UK, UCB offers a hybrid-first work environment, allowing for flexibility and teamwork, ensuring that every team member can thrive both professionally and personally.
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We think this is how you could land Data Foundations Lead: AI-Driven Metadata & Governance
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We think you need these skills to ace Data Foundations Lead: AI-Driven Metadata & Governance
Some tips for your application 🫡
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How to prepare for a job interview at UCB S.A.
✨Brush Up on Your Statistics
For a data science role, we need to seriously sharpen our statistics skills. Get ready to tackle technical questions on probability distributions, hypothesis testing, and regression analysis. These are often the bread and butter of data science interviews, so don't just skim over them!
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Expect to encounter real-world case studies during the interview. We might be asked how we’d approach a data problem or analyse a dataset to extract insights. It's essential to think out loud and demonstrate our problem-solving process so that the interviewer can see our logical thinking in action.
