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).

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

The position involves deep expertise in generative AI, model development across modalities, and responsibility for end-to-end experiments, focusing on fine-tuning and optimization of transformer architectures.

The Senior Product Data Scientist will lead product analytics and experimentation to drive user growth, engagement, and revenue by leveraging data insights and A/B testing.

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.

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.

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

The Data Scientist II will analyze data, build models, and support deployment, focusing on machine learning and NLP, collaborating with cross-functional teams.

As a Data Scientist II, you will develop advanced analytics models, collaborate with teams to drive data-driven solutions, and enhance business innovation through AI and machine learning techniques.

The role involves developing end-to-end data science and ML solutions, collaborating with stakeholders, designing ML systems, and mentoring junior scientists. Strong expertise in ML, data engineering, MLOps, and cloud platforms is essential.

The Data Scientist role involves predictive analytics, NLP, and Deep Learning with a focus on feature engineering for structured and text data.

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 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.

Lead projects on Generative AI systems, design solutions, mentor teams, build applications, and optimize AI-driven developments in data science and engineering.

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

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.

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.

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 Senior Data Scientist will design and implement data pipelines, develop models for player engagement, and collaborate with teams to deliver insights and solutions.

The Senior Data Scientist I will develop and deploy Generative AI models, ensuring quality and ethical use, while customizing data processing pipelines for various applications.

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