Position:
Data Scientist (ML/AI)
Company:
Philips
Location:
Bangalore, India
Job type:
Full Time
Job mode:
Hybrid
Job requisition id:
584001
Years of experience:
0 to 3 Years
Company Description
• Philips is a globally recognized healthcare technology organization dedicated to improving lives through innovation, advanced medical solutions, and patient focused technologies.
• With a history spanning more than a century, the company has continuously invested in research, engineering excellence, and healthcare transformation to support hospitals, clinicians, healthcare providers, and patients across the world.
• Operating in more than 100 countries, Philips develops technologies that support diagnostic imaging, patient monitoring, connected care, healthcare informatics, image guided therapy, sleep care solutions, and personal health products.
• The organization combines technology, data, artificial intelligence, clinical expertise, and healthcare insights to create solutions that improve patient outcomes and operational efficiency.
• Philips is committed to making quality healthcare accessible to more people globally while enabling healthcare professionals to deliver better treatment and care.
• The company promotes innovation driven by meaningful impact rather than technology alone. Every solution is designed with the objective of improving healthcare experiences and enhancing quality of life.
• Employees at Philips work in multidisciplinary teams that bring together expertise from software engineering, data science, product development, healthcare operations, research, and business functions.
• Philips encourages continuous learning, collaboration, diversity, and inclusion while creating an environment where employees can contribute ideas that shape the future of healthcare.
• The organization invests heavily in emerging technologies including artificial intelligence, machine learning, predictive analytics, connected devices, and digital healthcare ecosystems.
• Joining Philips offers professionals the opportunity to contribute to innovations that directly impact patients, hospitals, healthcare systems, and communities worldwide.
Profile Overview
• Philips is seeking a Data Scientist specializing in Machine Learning and Artificial Intelligence to join the MR Service Innovation team.
• This position focuses on applying advanced analytics, machine learning models, predictive algorithms, and AI solutions to transform MRI service operations into a more intelligent and proactive ecosystem.
• The successful candidate will contribute toward the organization's long term vision of creating autonomous MRI systems capable of detecting issues, predicting failures, initiating corrective actions, and improving operational performance.
• As a member of the Digital and AI team, the professional will participate in the development of data driven solutions that support healthcare equipment servicing across global markets.
• The role involves analyzing operational data, identifying patterns, developing predictive models, and generating insights that improve equipment reliability and service effectiveness.
• Professionals in this position will collaborate with engineering teams, business leaders, service operations specialists, and digital platform teams to solve complex business and technical challenges.
• The opportunity provides exposure to cutting edge healthcare technologies and real world applications of artificial intelligence within a regulated healthcare environment.
• Candidates will work on projects involving predictive maintenance, operational intelligence, service optimization, automation, and performance monitoring.
• The role offers a combination of technical development, business exposure, stakeholder engagement, and innovation focused problem solving.
• Individuals who enjoy working in fast paced environments, solving challenging problems, and building impactful AI solutions from the ground up will find this opportunity rewarding.
Role Responsibilities
• Develop machine learning models that support predictive maintenance and intelligent service operations.
• Analyze structured and unstructured datasets to uncover meaningful trends and business opportunities.
• Build algorithms that improve equipment performance, reliability, and uptime.
• Support the development of autonomous service capabilities within MRI ecosystems.
• Create statistical models that assist in forecasting operational outcomes and maintenance requirements.
• Work closely with engineering and service teams to understand operational challenges and identify data driven solutions.
• Evaluate model performance and continuously optimize analytical approaches.
• Translate business requirements into analytical frameworks and machine learning solutions.
• Design experiments and analytical studies to support strategic decision making.
• Present findings and recommendations to both technical and non technical stakeholders.
• Develop dashboards, reports, and visualizations that communicate complex insights effectively.
• Assist in the deployment and monitoring of machine learning models in production environments.
• Collaborate with cloud, software, and platform teams to operationalize AI solutions.
• Ensure data quality, reliability, and consistency across analytical workflows.
• Support innovation initiatives focused on automation, predictive intelligence, and service transformation.
• Participate in the complete AI lifecycle from problem definition through deployment and monitoring.
Qualifications
• Bachelor's Degree in Computer Science, Artificial Intelligence, Statistics, Applied Mathematics, Econometrics, or another quantitative discipline.
• Strong understanding of machine learning concepts and statistical modeling techniques.
• Knowledge of supervised and unsupervised learning methodologies.
• Experience working with Python and its associated data science libraries.
• Familiarity with pandas for data manipulation and preparation.
• Understanding of scikit learn for machine learning development and evaluation.
• Exposure to advanced frameworks such as XGBoost, TensorFlow, or PyTorch.
• Ability to write and optimize SQL queries for data extraction and analysis.
• Experience creating visualizations that communicate analytical findings effectively.
• Familiarity with cloud platforms such as AWS, Azure, or Google Cloud Platform.
• Understanding of model validation techniques and performance measurement.
• Ability to interpret business requirements and translate them into analytical solutions.
• Strong communication skills for presenting technical findings to diverse audiences.
• Interest in healthcare technology, medical devices, and AI driven innovation.
• Knowledge of time series forecasting techniques is advantageous.
• Experience with natural language processing is considered beneficial.
• Familiarity with IoT analytics and sensor data processing can be an added advantage.
• Exposure to CRM or IT service management platforms such as Salesforce and ServiceNow is valuable.
• Ability to work collaboratively across cross functional teams.
• Strong problem solving, critical thinking, and analytical reasoning abilities.
Additional Info
• This position is based in Bangalore, India.
• The role follows a hybrid work arrangement.
• Employees are generally expected to work from the office for at least three days each week.
• The position provides direct exposure to global healthcare innovation initiatives.
• Professionals will work closely with experienced leaders, engineers, and AI specialists.
• The role offers opportunities to influence strategic decisions through data driven recommendations.
• Team members gain visibility into large scale digital transformation programs.
• Candidates will have opportunities to learn about medical imaging technologies and healthcare operations.
• The organization supports professional development through training, mentorship, and exposure to advanced technologies.
• Employees can strengthen expertise in machine learning, predictive analytics, cloud technologies, and healthcare AI.
• The position offers a strong platform for career growth within data science and AI domains.
• Successful contributors may progress into senior data scientist, AI specialist, technical lead, or leadership positions.
• Philips values diversity, inclusion, collaboration, innovation, and respect in the workplace.
• The company encourages applications from individuals who may not meet every listed qualification but possess strong potential.
• Employees contribute to projects that improve healthcare accessibility and operational efficiency worldwide.
• The work performed in this role can have a meaningful impact on hospitals, healthcare providers, and patient experiences globally.
• Candidates will gain experience solving real world challenges using data science and artificial intelligence.
• The position offers an opportunity to work on technologies that directly support healthcare delivery and patient outcomes.
• Individuals joining this team become part of a mission focused organization dedicated to improving lives through meaningful innovation.
• This opportunity is ideal for aspiring data scientists looking to build expertise in machine learning, AI, predictive analytics, and healthcare technology within a globally respected organization.
Please click here to apply.
Daily job updates on WhatsApp, Click here
