Data Scientist – Digital Twin (Ref: 195782)

As an external recruitment partner, we present an independent briefing on this opportunity with our client, a pioneer operating at the crossroads of advanced manufacturing and health services. Our mission is to translate intricate data into decisive actions, enabling safer, more efficient processes and measurable improvements in quality and patient outcomes across the value chain.

This role places you in a cross-disciplinary squad dedicated to crafting digital twin simulations and real-time AI capabilities that enhance both production efficiency and healthcare delivery. You will lead end-to-end model lifecycle—from data acquisition and feature engineering to deployment and continual monitoring—ensuring scalable, transparent analytics that support strategic decisions in dynamic contexts.

• Architect and maintain digital twin representations of production lines and clinical workflows to predict performance and surface deviations.
• Build and operate streaming analytics and responsive AI systems that autonomously trigger actions and deliver clear guidance to operators and engineers.
• Partner with business units to reframing challenges into data-driven solutions with traceable impact metrics.
• Implement robust validation, back-testing, and monitoring to guarantee resilience against changing conditions.
• Present findings to non-technical stakeholders through compelling visuals and concise storytelling.

• Advanced quantitative qualification (data science, statistics, engineering or related) with strong expertise in statistical methods and machine learning.
• Fluency in Python for data processing, model development, and deployment pipelines (ML workflows, MLOps familiarity).
• Experience with digital twin technologies, simulation platforms, and architectures for streaming data.
• Analytical problem-solver capable of translating business needs into concrete analytical products.
• Collaborative and effective communicator within cross-functional teams.

• Competitive compensation with annual performance-based bonus
• Comprehensive medical, dental, and vision benefits
• Retirement plan with company matching and dedicated planning resources
• Flexible work arrangements and opportunities for remote collaboration where feasible
• Continued learning support including tuition assistance

This opportunity aligns with a patient-centric, ethically grounded approach, driving digital transformation across manufacturing and health services. It enables a meaningful contribution to quality, safety, and efficiency through data-led strategies.