Data Scientist

Data Scientist

We're seeking with strong expertise in Agentic AI, Generative AI , Machine Learning, Predictive modelling, time-series analysis, longitudinal pattern mining to join our team. In this role, you will design and build innovative and ethically responsible AI solutions that effectively address real-world problems, balancing technical feasibility with user needs and business impact.

Design, train, and evaluate LLM-based solutions for various use cases, including retrieval-augmented generation (RAG), information retrieval & search, chatbots,

Design, develop, and deploy a Machine Learning, Predictive modelling.

Design, develop, and deploy agentic AI systems and autonomous AI workflows using large language models and advanced reasoning architectures

Perform the time-series analysis, longitudinal pattern mining on the data sets.

Perform the Research & Analysis (Example literature survey)

Clean, preprocess, and curate data for evaluation, fine-tuning, and training

Work closely with stakeholders across the organization to understand business needs, formulate problems, and deliver data-driven insights

Keep up the latest advancements in generative AI research and integrate new techniques into the development process

D. in Computer Science, Data Science, or a related field

You have at least five years hands-on experience developing AI/ML systems, with significant experience in LLMs, Generative AI, or AI agents in a professional or enterprise workplace

You are proficient in Python and relevant libraries for data science and deep learning (e.g.,



You have a strong understanding of classic NLP and LLM-based approaches and hands-on experience with LLM-based architecture, such as RAG, prompt engineering, data synthesis, automatic evaluation, fine-tuning and agent frameworks

Hands-on experience building and then iteratively refining model pipelines end-to-end, from data curation to evaluation

Familiar with cloud computing platforms

Experience with at least one GenAI platform (AWS Bedrock, Co-pilot, OpenAI, etc)

Data Analysis & Interpretation

Agentic AI

Generative AI

Time-series analysis

Data Governance

Statistical Programming Software

Business Intelligence Tools

Data Mining

Machine Learning Engineering Fundamentals

Machine Learning & Deep Learning

Model Development & Deployment

Research & Analysis

Requirements Analysis

Root Cause Analysis (RCA)

Data Quality Management Systems

Regulatory Compliance

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.

This role is an office-based role.

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.

If you're interested in this role and have many, but not all, of the experiences needed, we encourage you to apply.

📌 Data Scientist Ml Ai Python (Bengaluru)
🏢 Philips
📍 Bengaluru