2,227 data science internship jobs in India.

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Data Engineering at Blackbaud is responsible for ingestion, transformation and processing of data that powers Blackbaud Data Intelligence and Advanced analytics products. The data managed by the team supports data science, data enrichment, research and data analysis as well as making data operationally able to be consumed ...

... AI-assisted tools to accelerate development — generating boilerplate code, drafting SQL/dbt models, writing documentation, debugging pipeline failures, and summarising data quality issues Partner with data quality, governance, and analytics teams to ensure data is well-modelled, well-documented, and trustworthy Optimise Snowflake ...

... leading the system design and implementation of technical solutions. Working with data excites you; You have created Big Data architecture, can build and operate data pipelines, and maintain data storage, all within distributed systems. You have a deep understanding of data modeling and experience with modern data engineering ...

Sigmoid Analytics is a leading Data solutions company backed by Sequoia Capital. We offer best in- end-to-end data value chain spanning across Data Science, Data Engineering and Data Ops. With data and technology at the core of our solutions, we are solving some of the toughest problems out there. The below role is for our ...

... LLMs, AutoGen, OCR, Databricks, PySpark, Python, Azure DevOps, and enterprise AI platforms. The role requires strong hands-on experience across SQL Server, Azure Data Factory, Azure Data Lake, Microsoft Fabric, Logic Apps,Power BI, GitHub, and Data Modeling. Required Skills: - 10+ years of Software Engineering / Data Engineering ...

... business faces, which can be better understood with data Compile and analyze data related to business' issues Develop clear visualizations to convey complicated data in a straightforward fashion Qualifications - Bachelor's or Master's degree in Statistics or Applied Mathematics or equivalent experience - 1 - 2 years' Data ...

... System (SKOS), an in-house suite of applications that optimizes cloud kitchen operations in real-time. As part of its growth roadmap, technological innovation, data science, artificial intelligence, and robotics will take center stage as Kitopi continues to reinvent the food industry and remain the leading food company in ...

... production issues, work with Databricks to open incident tickets/case and follow up to close the issue and ensure long term fixes - Additional knowledge of other Databricks key features, like Genie, Apps, Models creations etc Required Qualifications: - Bachelor's degree in computer science, Information Technology, Engineering, ...

... Computer Science, Computer Engineering, Information Technology, or a related technical field. Experience with data governance platforms such as Collibra, Alation, Data Catalog, Lineage, and Metadata Management solutions. Knowledge of relational, NoSQL, columnar, and MPP database technologies. Experience with CI/CD pipelines, ...

... (sub-100ms) while maintaining model quality and managing compute costs within budget. Cross-functional alignment: coordinating model deployment gates across Data Science, Risk, Compliance, IT Security, and Business teams — each with different timelines, priorities, and risk appetites. Keeping pace with the Databricks roadmap: ...

... Undertake processing of structured and unstructured data Development of data processing codes for automation & building scalable solutions Develop and maintain data solutions for clients / projects Communicate and interact with clients at the executive level Collaborate with data science, reporting and product development ...

... Data Engineer to drive our mission to unlock potential of data assets by consistently innovating, eliminating friction in how users access data from its Big Data repositories and enforce standards and principles in the Big Data space. The candidate will be part of an exciting, fast paced environment developing Data Engineering ...

... maintain scalable data pipelines and data lake solutions on GCP. Build and automate data ingestion and transformation workflows using Airflow and BigQuery. Ensure data quality, performance, and security across all cloud environments. Collaborate with cross-functional teams to translate business needs into efficient data models. ...

... https://jobeax.com/link/fYGlpInxuIv5PeS1 & Skills :- 4 - 7 years in data engineering: SQL, Python, ETL/ELT orchestration.- Cloud data platform experience (Azure preferred): pipelines, storage, APIs.- Strong understanding of data lake and data architecture.- Data modelling for analytics (star schema) and data quality frameworks. (ref:hirist.tech)

... and contribute to strategic decisions on platform evolution, including generative AI integration and event-driven systems. Data Science and Machine Learning - Data Science and Machine Learning - Python Database - Database Programming - SQL Big Data - Big Data - Pyspark Data & AI - Data Engineering - Data Quality & Validation ...

Data Science & AI/ML Lead About The Role As a Data Science & AI/ML Lead , you will make an impact by leading the design, development, and optimization of enterprise AI solutions that transform experimental models into scalable, production-grade capabilities. You will be a valued member of the AI Engineering team and work ...

... effectively.- A collaborative mindset, comfortable working in a fast-paced, hybrid work environment alongside global teams.- A Bachelors or Masters degree in Computer Science, Data Science, Statistics, or a related quantitative field.- 4 - 7 years of professional experience in building and deploying data science solutions in a large-scale ...

... orchestrate event-driven data pipelines using Pub/Sub. Required Profile & QualificationsEducation: Successfully completed master's or bachelor's degree in Computer Science, Physics, Mathematics, Data Science, or a comparable quantitative field. Experience: At least 3 years of proven professional experience in cloud-native data ...

... proactively identifying risks, blockers, and improvement opportunities Required Qualificatio nsMaster's or PhD in Statistics, Mathematics, Economics, Computer Science, Data Science, Operations Research, or a related quantitative disciplin e.5+ years of experience building advanced statistical or econometric models in production ...