Data Scientist (ML/AI)

Role overview

Philips is hiring a Data Scientist for the MR Service Innovation team to help build AI-led intelligence for MRI service operations. The goal of the role is to move service support from reactive fixes toward a predictive, self-healing model that improves scanner uptime and patient care outcomes globally.

What you will work on

• Contribute as an early member of the Digital & AI team within MR Service Innovation.
• Support the “Autonomous MR” vision by developing models and analytics that help MRI systems detect issues, predict failures, self-heal, and eventually operate with greater autonomy.
• Influence service decisions across thousands of MRI systems worldwide, with direct impact on uptime, patient throughput, and hospital performance.
• Collaborate with R&D engineering, field service teams, MR business leaders, global service platform teams, and external delivery partners.
• Work in an environment that offers exposure to executive-level decisions within the MR business unit.
• Take part in the full AI delivery cycle, from exploring data to deploying solutions in a regulated MedTech setting.

What the role offers

• Hands-on experience in healthcare AI and medical technology.
• Opportunity to sharpen stakeholder communication and business-case development alongside technical problem solving.
• Clear growth path toward senior data science and AI leadership positions as the programme expands.
• Flexible work arrangements and access to health and wellness benefits, depending on region.

Minimum education

A bachelor’s degree in Computer Science, Econometrics, Artificial Intelligence, Applied Mathematics, Statistics, or a closely related quantitative field is required. Vocational education in one of these areas is also accepted where relevant.

Experience

At least 4 years of experience is needed. This should include work with data analytics, data science, data mining, artificial intelligence, pattern recognition, or a similar discipline.

Ideal background

• Experience building, validating, and deploying machine learning or statistical models using real operational data.
• Exposure to service or maintenance analytics, time-series forecasting, NLP for technical documents, or IoT/sensor data.
• Experience working with large CRM or ITSM datasets such as Salesforce or ServiceNow is a plus.
• Strong Python skills with tools such as pandas, scikit-learn, XGBoost, PyTorch, or TensorFlow.
• Comfort using SQL, data visualisation platforms, and cloud environments such as AWS, Azure, or GCP.
• Ability to turn analysis into clear, business-focused communication for non-technical audiences.
• Comfort working in ambiguity, building from scratch, and challenging assumptions through data.
• Interest in healthcare and motivation to contribute to better MRI uptime for patients and care teams.

Working style

This is an onsite role in Bengaluru, Karnataka. Philips expects office-based teams to spend at least 3 days each week in person, and onsite positions require full-time presence at company facilities.

About Philips

Philips is a health technology company focused on improving access to quality healthcare for people everywhere. The company encourages applicants even if they do not meet every single requirement, as strong potential may still make a candidate a fit.