The job is full-time with flexible working hours (overlap with EST required)

Job Summary

We need a Data Scientist with experience to lead the creation of cutting-edge data-driven solutions at our company. The best person for the job knows mathematical modeling, statistics, Machine Learning (ML), and Artificial Intelligence (AI). They are also used to working with current frameworks and large language models (LLMs). You will use your strong problem-solving, critical thinking, and research skills to plan and carry out complete data science projects, try out new methods, share your results, and maybe even come up with intellectual property that can be patented.

Some of your main duties

Research And New Ideas

Learn more about modern LLM orchestration frameworks and APIs (for example LangChain or equivalent), and work with proprietary and open source LLMs.

Encourage new ideas by testing, proving, and studying the viability of current data-driven goods or features.

Keep up with new technologies and trends in your field to make sure the company stays on the cutting edge of AI.





End-to-End Project Execution

Take charge of data science projects from the time they are first thought of to the time they are put into action. This includes gathering requirements, modeling, and keeping an eye on performance.

Partner cross-functionally with Engineering, Product, and Business teams to define backlogs, prioritize work, and deliver data solutions incrementally.

Ensure all models and data pipelines adhere to strong quality control, governance, and continuous improvement standards within an Agile framework.

Model Development And Deployment

Use both traditional machine learning (ML) and cutting-edge artificial intelligence (AI) methods to design, build, and improve advanced predictive and prescriptive models.

To make the model work better, use best practices for feature building and data transformation.

Use the best frameworks and methods (like prompt engineering and LLM fine-t

📌 Data Scientist (India)
🏢 Phigital Care
📍 India