Philips is hiring for an FRESHER entry level Data Scientist (ML/AI) role in India

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.