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Philips

Bangalore · On-site

Data Scientist

Full-timePosted
Salary
Not disclosed
Experience
5 years
Eligible batches
2021
Degree
M.Sc, Ph.D
Location
BangaloreOn-site
Apply by
13 Nov 2026

About the role

Philips is looking for a Data Scientist to create responsible AI solutions that blend cutting‑edge generative and agentic AI with business impact. The position is office‑based in Bangalore, requiring collaboration with stakeholders to turn data into actionable insights.

Responsibilities

  • Design, train and evaluate LLM‑based systems for use cases such as RAG, chatbots, information retrieval and text generation.
  • Develop and deploy predictive models, time‑series analyses and longitudinal pattern‑mining pipelines.
  • Build autonomous AI workflows using large language models and advanced reasoning architectures.
  • Curate, clean and preprocess data for model fine‑tuning and evaluation.
  • Partner with cross‑functional teams to translate business problems into data‑driven solutions.
  • Stay current with generative AI research and integrate new techniques into production.

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Eligibility

  • Master’s or Ph.D. in Computer Science, Data Science or a related discipline.
  • At least five years of hands‑on experience delivering AI/ML systems, especially with LLMs or generative AI.
  • Proficiency in Python and data‑science libraries such as NumPy, Pandas, TensorFlow or PyTorch.
  • Strong grasp of classic NLP, prompt engineering and model evaluation methods.
  • Experience with cloud platforms and at least one GenAI service (e.g., AWS Bedrock, Azure OpenAI, OpenAI).
  • Excellent communication and collaborative skills.

Skills

  • Python programming and scientific libraries.
  • Machine learning, deep learning and large language model workflows.
  • Generative AI, agentic AI and retrieval‑augmented generation.
  • Time‑series analysis and longitudinal pattern mining.
  • Data cleaning, curation and preprocessing.
  • Cloud computing and GenAI platform integration.

Resume keywords

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Asked for

  • Python
  • NumPy
  • Pandas
  • TensorFlow
  • PyTorch
  • Machine learning
  • Deep learning
  • Large language models
  • Generative AI
  • Agentic AI

Nice to have

  • Prompt engineering
  • Data analysis
  • Predictive modelling
  • Time-series analysis
  • Data governance
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Benefits

  • Opportunity to work on cutting‑edge health‑technology AI projects.
  • Collaborative, purpose‑driven culture focused on improving global healthcare.
  • Access to continuous learning resources and advanced research environments.
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About Philips

Koninklijke Philips N.V. is a Dutch multinational health-technology company headquartered in Amsterdam, focused on diagnostic imaging, patient monitoring, image-guided therapy, and personal health.

Founded 1891 · 5000+ employees · HQ Amsterdam, Netherlands

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