Top Data Scientist Jobs in Delhi

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.

Own end-to-end analytics and ML lifecycle to answer product, growth, and marketing questions. Scope problems, build and deploy production-grade predictive models (churn, conversion, spend optimisation), implement rigorous A/B testing, create self-serve dashboards, and communicate actionable insights to cross-functional stakeholders to drive retention and growth.

The Weather Data Scientist will develop and implement data assimilation pipelines for weather forecasting, focusing on observational data quality and machine learning-driven forecasts.

The Weather Data Scientist will enhance weather forecasting systems focusing on numerical prediction and machine learning datasets for India, collaborating on model building and verification.

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

Use data and advanced analytics to solve complex business problems, design and deploy scalable ML/data products on cloud platforms, collaborate with clients and cross-functional teams, and communicate actionable insights.

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, assess business opportunities and promote data science use, developing and operationalizing analytics solutions with internal and external partners.

Design and maintain ETL/ELT pipelines and data warehouse architecture, analyze and visualize data with SQL/Python/R and BI tools, build machine learning models and A/B tests, and partner with engineering and business teams to deliver data-driven insights for fintech use cases (fraud detection, segmentation, forecasting).

Design, train, validate, deploy and monitor ML models (pricing, dispatch, fraud, personalization). Perform EDA, feature engineering, statistical analysis, production-quality Python/SQL development, collaborate with product and engineering, and drive data quality, documentation, and knowledge sharing across the Data & AI domain.

Lead the development of analytics systems and predictive models, manage a team, preprocess data, analyze trends, and present findings.

The Data Scientist will leverage critical thinking and data analysis skills to develop Machine Learning models for detecting financial crime risks and synthesizing data requirements.

Lead end-to-end analytics and ML for growth: LTV, retention, segmentation, attribution, and predictive models. Partner with Paid Media, Product, and Engineering to build production-ready ML pipelines, inform SEM and bidding, monitor product metrics, and present actionable insights to stakeholders.

This role involves developing predictive models for marketing performance, customer acquisition, and market targeting, leveraging statistical modeling and machine learning for data-driven decision-making.

Perform exploratory analysis, build dashboards and reports (Tableau), write SQL queries, use Python for data cleaning and predictive models, collaborate with stakeholders, communicate insights, and maintain data models, pipelines, and quality checks.

Build, deploy, and iterate predictive models and real-time scoring pipelines using behavioral and clickstream data to improve lead quality and campaign optimization. Collaborate with marketing, media buying, and analytics teams to translate business needs into hypotheses, perform exploratory analysis, monitor model performance, and communicate statistically rigorous insights to non-technical stakeholders.

The Staff Data Scientist will lead organisational intelligence efforts, design measurement frameworks, and improve decision-making across Busuu's AI and business initiatives.

Join Kroll as a Data Scientist to build and evaluate ML models, supporting deployment and monitoring, while collaborating with experienced teams in financial services and data integrity challenges.

As a Senior Data Scientist, you will utilize analytical methods and programming skills to derive insights from data, design solutions, and communicate effectively with stakeholders.

The Senior Data Scientist will develop strategies for analytics, lead operational processes, and promote the use of data science solutions while collaborating internally and externally to ensure effective adoption.

Join a remote team as a Lead Data Scientist focusing on building Generative AI applications. Responsibilities include developing applications, implementing pipelines, and performing model tuning.

Lead development of ICP, lead/account scoring, multi-touch attribution, and intent-driven growth strategies. Build predictive models and ELT pipelines using Snowflake, dbt, and Python/R; run A/B and incrementality tests; partner with Marketing, Sales, Product, and IT to operationalize scoring and attribution for revenue impact.

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.