Associate Data Scientist
At a glance
Junior Data Science role at Philips. Bangalore · full-time.
Pay not stated Data Science salary
dataroles summary, based on the employer's posting.
What you'll do
- Build and refine generative AI models, including language, vision-language and diffusion models, for product applications
- Use large language models, prompt design, retrieval-augmented generation, vector databases and embeddings
- Apply traditional machine learning and deep learning to image and text datasets, both structured and unstructured
- Coordinate with engineering teams to put AI models into production and embedded or edge settings
- Track experiments with MLflow or Weights & Biases
What you bring
- A bachelor’s degree plus at least seven years of relevant experience, or a master’s degree plus at least five years
- A degree in computer science, data science or another listed field, or an equivalent qualification
- Hands-on experience with large language models and prompt engineering
Who this fits
This role suits an experienced data scientist who can work across generative AI and traditional machine learning. The stated office-based arrangement requires at least three in-person days each week.
From the employer
Job Title
Associate Data ScientistJob Description
Job Responsibilities:
Someone who can design, build, and fine-tune Generative AI models (LLMs, vision-language models, diffusion models) for product use cases
Hands on expertise in Large Language Models and prompt engineering
RAG architectures, vector databases, embeddings
Experiment tracking tools (MLflow, Weights & Biases)
Traditional ML/DL techniques
Work with structured and unstructured datasets (images, text)
Collaborate with engineering teams to integrate AI models into production systems and embedded/edge environments
Minimum required Education:
Bachelor's / Master's Degree in Information Management, Information Systems, Computer Science, Data Analytics, Data Science or equivalent.
Minimum required Experience:
Minimum 7 years of experience with Bachelor's OR Minimum 5 years of experience with Master's in areas such as Data Analytics, Data Modeling or equivalent.
Preferred Skills:
• Data Science
• Data Analysis & Interpretation
• Data Designing
• Python
• GenAI frameworks(LangChain, LangGraph)
• Vector Databases
• Machine Learning Engineering Fundamentals
• Statistical Methods
• Statistical Programming Software
• Research & Analysis
• Structured Query Language (SQL)
• Regulatory Compliance
How we work together
We believe that we are better together than apart. For our office-based teams, this means working in-person at least 3 days per week.
Onsite roles require full-time presence in the company’s facilities.
Field roles are most effectively done outside of the company’s main facilities, generally at the customers’ or suppliers’ locations.
Indicate if this role is an office/field/onsite role.
About Philips
We are a health technology company. We built our entire company around the belief that every human matters, and we won't stop until everybody everywhere has access to the quality healthcare that we all deserve. Do the work of your life to help the lives of others.
• Learn more about our business.
• Discover our rich and exciting history.
• Learn more about our purpose.
If you’re interested in this role and have many, but not all, of the experiences needed, we encourage you to apply. You may still be the right candidate for this or other opportunities at Philips. Learn more about our culture of impact with care here.
Data Science work from LinkedIn, X, Reddit and Upwork, in one list.
Each morning you get everything that fits, strongest first.
Data Science
Find me workBy the team behind dataroles.