Join As Data Scientist At Philips | Apply Now
Job Overview:
| Company | Philips |
|---|---|
| Job Role | Data Scientist |
| Job ID | 592335 |
| Work Location | Bangalore |
| Work Mode | Hybrid |
| Job Type | Full-Time |
| Experience | 5+ years |
| Qualification | Master's / Ph.D. |
| Salary | Not disclosed |
| Careers Page | www.philips.co.in |
Skills: Python Generative AI Agentic AI LLM RAG Machine Learning PyTorch TensorFlow Time-Series Analysis
Philips Hiring Data Scientist in Bangalore for AI and ML Solutions
Philips is seeking an experienced Data Scientist to join their healthcare technology team in Bangalore. The role involves designing and implementing Generative AI, Agentic AI, and Machine Learning systems for real-world healthcare use cases. Candidates holding a Master's or Ph.D. with relevant AI/ML experience can apply.
Who Can Apply?
- Candidates holding a Master's or Ph.D. in Computer Science, Data Science, or a related field
- Professionals with at least 5 years of hands-on experience building AI/ML systems
- Engineers with significant background in LLMs, Generative AI, or AI agents in enterprise environments
- Proficiency in Python and libraries like NumPy, Pandas, TensorFlow, and PyTorch
- Ability to work in-person at least 3 days per week at the Bangalore facility
About Philips:
Philips is a global health technology company dedicated to improving personal health and healthcare outcomes. They develop innovative medical equipment, software, and connected care technologies across the globe.
What You Will Do as Data Scientist
- LLM Solutions Design: Design, train, and evaluate Large Language Model solutions including RAG, semantic search, chatbots, entity recognition, and text summarization.
- Machine Learning Development: Build, optimize, and deploy predictive models and machine learning pipelines for complex real-world data.
- Agentic AI Implementation: Design and deploy autonomous AI workflows and agentic AI systems using advanced reasoning architectures.
- Data Preprocessing and Analysis: Clean, preprocess, and curate datasets for model fine-tuning while performing time-series analysis and longitudinal pattern mining.
- Stakeholder Collaboration: Work with cross-functional business stakeholders to translate domain needs into scalable, data-driven solutions.
Skills Required:
Generative & Agentic AI. Deep understanding of LLMs, RAG, prompt engineering, agent frameworks, and GenAI platforms like Bedrock or OpenAI.
Machine Learning & Analytics. Strong foundation in predictive modelling, statistical methods, and time-series pattern mining.
Programming & Libraries. Hands-on coding experience in Python using NumPy, Pandas, TensorFlow, and PyTorch.
Basic Qualifications:
- Master's or Ph.D. in Computer Science, Data Science, or a related field
- At least 5 years of hands-on experience developing AI/ML systems
- Significant experience with LLMs, Generative AI, or AI agents in an enterprise environment
- Proficiency in Python and deep learning libraries such as TensorFlow, PyTorch, NumPy, and Pandas
- Experience with LLM-based architectures like RAG, fine-tuning, and prompt engineering
- Familiarity with cloud platforms and at least one GenAI platform like AWS Bedrock, Copilot, or OpenAI
Preferred Qualifications:
- Familiarity with data governance, data quality management systems, and regulatory compliance
- Knowledge of root cause analysis (RCA), business intelligence tools, and statistical programming
- Experience conducting research surveys and literature analysis
How to Prepare
Our tips, based only on what the listing asks for:
- Review core LLM architectures, RAG patterns, prompt engineering, and agent frameworks.
- Prepare practical examples of end-to-end ML model pipelines you developed from data curation to deployment.
- Brush up on Python implementations for time-series forecasting and longitudinal data analysis.
- Be ready to discuss real-world GenAI deployment challenges and ethical AI practices.
What the Listing Does Not Mention
- Salary or compensation package is not disclosed in the listing.
- Application deadline or last date to apply is not specified.
How to Apply: Philips
- Open the official Philips job listing on their Workday portal.
- Review the responsibilities, required qualifications, and skill requirements.
- Click the Apply button to start your online application.
- Fill in your personal, academic, and professional experience details.
- Upload your updated resume and submit the application.
Qualified candidates with expertise in LLMs and AI development can submit their application through the Philips career portal.
Important Links:
| Events | Links |
|---|---|
| Apply Now | Click Here |
| Official Careers Page | Click Here |
Frequently Asked Questions:
What qualification is required?
Required qualification: Master's / Ph.D.. See the eligibility section above for details.
Can freshers apply for this role?
No, the posting specifies a minimum of five years of hands-on AI/ML development experience.
What is the working arrangement?
It is an office-based hybrid role requiring a minimum of 3 days per week at the Bangalore office.
What educational qualifications are needed?
Candidates must hold a Master's or Ph.D. in Computer Science, Data Science, or a related discipline.
Stay safe: Philips does not charge any fee to apply or to give an interview. If anyone asks you for money for a job, a referral or an offer letter, it is a scam.
Source: the official Philips careers listing for this role.
Related Jobs You May Like
- Join As Specialist 2 – Mining & Metals At PwC | Apply Now
- Join As Systems Integration Validation Engineer At Intel | Apply Now
- AAU Deputy Project Director, Accountant, Programmer & Managers Recruitment 2026 | 310 Posts | Apply Now
- Join As Software Engineer – Java Fullstack At Wells Fargo | Apply Now
Disclaimer: This job post is for information only. All applications and questions should go to Philips through the official process.
About us:
CareerFinder.co.in: At CareerFinder.co.in, we are committed to connecting individuals with top-notch job opportunities seamlessly. Explore endless possibilities for your career growth and success with us.