Job highlights

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

Job Summary

Job Title Data Scientist

Were 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.

Your role

- Design, train, and evaluate LLM-based solutions for various use cases, including retrieval-augmented generation (RAG), information retrieval search, chatbots,
- structured information extraction and named entity recognition, text generation, summarization, and more
- 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

You are fit if

- You hold a master s or Ph. 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 qualified or enterprise environment




- You are proficient in Python and relevant libraries for data science and deep learning (e. g. , NumPy, Pandas, TensorFlow, PyTorch)
- 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)
- Excellent communication skills and a collaborative mindset are essential
- Strong analytical and problem-solving skills, with attention to detail, round out your profile

Preferred Skills

- Data Analysis Interpretation
- Prompt Engineering
- Agentic AI
- Generative AI
- Predictive modelling
- Time-series analysis
- Longitudinal pattern mining.
- Data Governance
- Statistical Methods
- 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

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.

Disclaimer: This job posting has been aggregated from external source. Role details, content, and availability are subject to change. Applicants are advised to confirm the latest information directly on the company website before applying.

📌 Data Scientist (Bengaluru)
🏢 Philips
📍 Bengaluru