Top Data Scientist Jobs in Delhi

Design, build, and validate advanced ML and NLP solutions (including LLMs and OCR). Apply statistical methods, feature engineering, and optimization to improve model performance. Collaborate with stakeholders to operationalize insights via Power BI, ensure GDPR compliance, and mentor/lead team members while driving technical design and innovation in generative AI and predictive modeling (churn, lead scoring).

The Data Scientist will design and develop AI/ML models, support IoT projects, collaborate on analytics architecture, and ensure code quality and testing.

This role involves working with Python and tools like AcrPy and ArcEQuIS for data science and automation tasks.

The Senior Data Scientist will build AI and ML models to drive business decisions, translate user requirements into AI solutions, and enhance user experiences with technologies like Salesforce and ServiceNow.

The Data Scientist will implement GenAI systems, build components, support project delivery, analyze findings, and deliver technical solutions, focusing on NLP and deep learning.

The Data Scientist will analyze data, optimize ML systems for pricing, propose ML opportunities, collaborate with teams, and support data-driven decisions.

The Data Scientist will analyze and model data for ML systems, focusing on Personalization and Recommendation Engines, and collaborate with teams to enhance data-driven solutions.

As a Data Scientist, you will develop AI products by analyzing data, building predictive models, conducting A/B tests, and collaborating with cross-functional teams.

The position appears to focus on data science and automation using Python and geographic information systems technologies such as AcrPy and ArcEQuIS. Details on responsibilities are to be populated.

Develop and maintain Python scripts for automation, manage ETL pipelines, apply NLP and image processing techniques, and support cloud deployment.

As a Data Scientist, you will analyze and model data to optimize machine learning systems, such as dynamic pricing and trip dispatching. Your role includes conducting exploratory data analysis, deploying ML applications, and collaborating across teams to improve solutions.

Prepare, clean, and validate structured and unstructured data for LLM-driven systems; build training datasets, support RAG and NL->SQL pipelines, perform data quality checks, and assist in data pipelines/APIs and model evaluation.

The role involves developing data-driven features for pricing strategies, building analytical models for forecasting, and collaborating with teams to deliver insights.

Seeking a hands-on Data Scientist with 4-10 years in AI/ML for model development and optimization in generative AI. Responsibilities include managing experiments across text, audio, and video modalities, and driving initiatives in a dynamic R&D environment.

Lead development and implementation of generative AI solutions using LLMs and related tools. Perform data analysis, feature engineering, model development and evaluation, and collaborate cross-functionally to deliver production-ready AI applications with documentation and testing.

The Data Scientist will analyze complex datasets, develop predictive models, and derive insights to support business objectives using advanced statistical methods.

The Senior Data Scientist will develop Generative AI models, optimize pipelines, and implement AI solutions in health sciences, leveraging NLP and machine learning expertise.

As a Senior Data Scientist, you will develop and deploy AI models and solutions, focusing on Generative AI and NLP in healthcare applications. Responsibilities include building, testing, and maintaining data science pipelines, mentoring juniors, and collaborating with teams to integrate AI technologies.

The Senior Data Scientist will enhance the predictive modeling capabilities of Lyric's platform, focusing on machine learning and statistical methods for supply chain optimization.

Develop data-driven models for identity resolution and intent detection, collaborating with engineers to make analytical models actionable in near real time.