Data Scientist (ML/AI)

Philips typically conducts a three-stage interview process: an online aptitude and coding test, followed by a technical interview focusing on machine-learning concepts, case studies, and hands-on coding, and finally an HR round assessing cultural fit and motivation. The difficulty is moderate to high; candidates should be comfortable with end-to-end ML pipelines and be ready to discuss real-world project impact.

Philips promotes a collaborative, purpose-driven culture where innovation is encouraged and employees receive ample opportunities for upskilling. The company emphasizes work-life balance through flexible hybrid arrangements and provides robust health, wellness, and learning benefits.

Minimum Bachelor's Degree in Computer Science, Econometrics, Artificial Intelligence, Applied Mathematics, Statistics or an equivalent quantitative discipline. Minimum 4 years of relevant experience in data analytics, data science, machine learning or AI. Academic performance: 60% or above (or CGPA equivalent). No active backlogs at the time of joining. Freshers with strong project work may also be considered if they meet skill requirements. Candidates graduating in 2025, 2026 or 2027 are preferred, but exact batch year is not mandatory.

Round 1: Online aptitude and coding test → Round 2: Technical interview focusing on machine-learning concepts, case studies, and hands-on coding → Round 3: HR (assessing cultural fit and motivation)

Philips is a global health-technology leader with a heritage of more than 130 years, headquartered in the Netherlands and operating in over 100 countries. The company focuses on improving people's health and wellbeing through innovative solutions in precision diagnosis, image-guided therapy, connected care, and personal health. In India, Philips combines cutting-edge research with a strong commitment to social responsibility, offering a workplace that values diversity, continuous learning, and a purpose-driven culture. Employees are encouraged to bring their authentic selves to work, collaborate across functions, and contribute to technologies that directly impact patient outcomes worldwide. The role of Data Scientist – MR Service Innovation sits within Philips' Digital & AI team, which is tasked with turning the massive streams of MRI service data into actionable intelligence. As a foundational member, you will help realize the 'Autonomous MR' vision by building predictive models, anomaly-detection algorithms, and self-healing solutions that keep MRI scanners running with minimal downtime. Your work will directly influence service strategies for thousands of MRI systems across the globe, improving scanner uptime, patient throughput, and overall hospital efficiency. Key responsibilities include: 1. Design, develop, and deploy machine-learning models on large-scale service and IoT sensor data to predict failures and recommend preventive actions. 2. Perform exploratory data analysis on CRM/ITSM datasets (e.g., Salesforce, ServiceNow) to uncover hidden patterns and drive service-optimization insights. 3. Build time-series forecasting pipelines for parts demand and maintenance scheduling. 4. Apply natural-language processing techniques to unstructured technical logs and service tickets. 5. Collaborate with R&D engineers, field service teams, and business leaders to translate analytical findings into actionable business recommendations. 6. Ensure models comply with regulated MedTech standards, maintaining documentation and audit trails. 7. Create interactive dashboards and visualisations for stakeholders using tools such as PowerBI or Tableau. 8. Monitor model performance in production, implement drift detection, and continuously improve algorithms. 9. Contribute to the creation of a data-driven culture within the MR Service Innovation unit. 10. Mentor junior analysts and share best practices in data science and AI. The tech stack required for this role includes Python (pandas, scikit-learn, XGBoost, PyTorch/TensorFlow), SQL, cloud platforms (AWS/Azure/GCP), Docker/Kubernetes for model deployment, CI/CD pipelines, PowerBI/Tableau for visualisation, and version control (Git). Familiarity with MLOps, REST APIs, and big-data processing (Spark) is a plus. Starting as a Data Scientist, you will gain deep domain expertise in healthcare AI and regulated environments. The role offers a clear trajectory toward senior data-science leadership, AI product ownership, or strategic analytics roles within Philips' broader Digital & AI organisation. Continuous learning opportunities, certifications, and cross-functional projects accelerate career progression. You will work on mission-critical AI solutions that directly improve patient care, be part of a globally recognised brand with strong R&D investment, and enjoy a hybrid work model that balances office collaboration (minimum 3 days a week) with flexibility. Philips also offers competitive health and wellness benefits, learning stipends, and a culture that celebrates innovation and inclusion.