Head of Data Science - ML Focus

Our client is a global organisation delivering high-impact solutions in healthcare and operations. With a strong focus on innovation and quality, they are now investing in AI and machine learning to drive the next phase of data-led transformation across their business.

This is a unique opportunity to lead machine learning efforts in a purpose-driven, international environment.

Role Overview

As Head of Machine Learning, you will define and drive the company’s ML strategy, leading a team to develop solutions that enhance clinical, operational, and digital outcomes. This role combines technical depth with strategic oversight, requiring close collaboration across R&D, digital, supply chain, and executive functions.

Key Responsibilities

• Develop and implement a scalable machine learning roadmap aligned with business goals.
• Build and lead a high-performing team of ML engineers, data scientists, and MLOps professionals.
• Deliver applied ML solutions in areas such as:
• Predictive modelling for operational or clinical outcomes.
• Computer vision for quality control or product insights.
• NLP for customer insights and clinical documentation.
• Ensure responsible, compliant AI practices—including transparency, validation, and governance.
• Champion the adoption of modern ML infrastructure and tools.
• Collaborate cross-functionally with stakeholders in product, operations, digital, and leadership teams.

Candidate Profile

• 8+ years of experience in machine learning or applied AI, including 3+ years in a leadership role.
• Proven track record of deploying ML solutions at scale in enterprise or regulated environments.
• Advanced degree (MSc or PhD) in Computer Science, Data Science, Engineering, or a related field.
• Strong technical skills in Python, TensorFlow or PyTorch, and cloud-based ML platforms (e.g., AWS SageMaker, Azure ML).
• Experience working with cross-functional stakeholders to translate business needs into technical solutions.
• Excellent communication, leadership, and strategic thinking skills.

Why Join?

• Lead high-impact projects that improve real-world outcomes.
• Work with an international team committed to quality, innovation, and responsible AI.
• Competitive compensation and benefits in a supportive and collaborative environment.