2,101 data science instructor jobs in India.

... findings and insights through compelling data visualizations and narratives. Support data-related projects by providing analytical expertise and insights. Ensure data accuracy, completeness, and integrity through quality assurance processes. Bachelor's degree or equivalent in Computer Science, MIS, Mathematics, Statistics, ...

Job Role: Senior Data Scientist Experience Required : 6–9 years Swiggy is India's leading on-demand delivery platform, leveraging data science and cutting-edge AI to redefine convenience for millions of customers. The Food-DS team works at the intersection of machine learning, advanced architecture, and applied research ...

... In this regards, the LIQ PBR data analyst will work with Liquidity SMEs to document BDEs that require to be traced from upstream sources, liaise with upstream data source RTB teams to develop a data flow architecture for the movement of data, further request sample transactional and other data to test the data per test cases ...

... enhance data pipelines for high availability and reliability. Utilize Docker and Kubernetes for scalable data processing. Collaborate with the automation team, data scientists, and engineers to provide clean, structured data for AI/ML models. Bachelor's or Master's degree in Computer Science, Information Technology, or a ...

... Self-motivated, enthusiasm to build next generation AI https://jobeax.com/link/6l022AziJZbiShMe & Responsibilities : - Analyze product requirements and come up with data science solutions.- Identify and develop data engineering scripts (example : parsers) necessary to build training datasets.- Build deep learning NLP model(s), ...

The High-Performance Computing Storage Engineer is primarily responsible for the overall health and maintenance of storage technologies in our managed services customer's environments.

... supervision. As a Data Entry Specialist, you will be responsible for accurately entering data into our systems, maintaining and updating records, and ensuring data quality and integrity. Enter data into our systems accurately and efficiently, following established procedures and guidelines - Verify and review data for accuracy ...

... Business, Finance, Data Analytics, or related field.- 5 - 8 years of experience in data management, data governance, data quality, MDM, platform configuration, or data testing roles.- Financial services industry experience preferred.- Demonstrated hands-on experience configuring data models, data quality rules, or governance ...

... Desktop Specialist / Certified Data Analyst certification.- Experience in media, broadcasting, healthcare, or other data-intensive domains.- Understanding of data governance frameworks and data cataloging.Qualifications:- Bachelor's degree in Computer Science, Statistics, Mathematics, Data Science, Engineering, or a related ...

... for a high growth open-end and closed end real estate product line. - Liaison between fund administrators and US based parent company to facilitate efficient data transfer to CP US systems. - Support Investor and consultant data needs by updating databases containing performance and operations data for our product line. ...

... Compliance, and Management teams with reporting and data analysis requirements. - Validate data quality and investigate issues related to mismatched numbers, missing data, or incorrect calculations. - Work with data engineering or database teams to understand data sources and improve reporting reliability. - Optimize Power BI reports ...

... improve team's data architecture, making it better and easier to maintain (e.g., data auditing solutions, automating, ad-hoc or manual operation steps) Owns the data quality of important datasets and any new changes/enhancements 1+ years of data engineering experience - Experience with data modeling, warehousing and building ...

... multilingual NLP, transliteration, and matching of names across different languages/scripts. Experience in ML model deployment, REST APIs, Docker, AWS, or MLOps. Education Bachelor's or Master's degree in Computer Science, Data Science, Artificial Intelligence, Statistics, Mathematics, Engineering, or a related discipline.

... & Modern Data Engineering - AWS / Azure / GCP - Python / PySpark / SQL - Snowflake / Databricks / Spark / BigQuery / Synapse - Kafka / Kinesis / Event Hub / Dataflow - Apache Airflow / Astronomer - Data Modeling, Quality & Reliability - Data Governance & Metadata Management - CI/CD & DataOps - Data Platform Engineering ...

... Azure Databricks : - Databricks SQL- Data processing and transformation- Experience developing and maintaining Databricks notebooks- Understanding of Spark-based data processing3. Azure Data Platform : - Azure Data Lake- Experience working within Azure data ecosystems- Understanding of cloud-based data architectures4. Data ...

... parallelism and batch data processing - 5+ years of SQL experience - complex joins, window functions, aggregations across large datasets - Experience with Oracle Data Pump (expdp/impdp) or SQL Server BCP / BULK INSERT for high-volume data movement Experience with SQLAlchemy, cx_Oracle, or pyodbc for Python-based database connectivity ...

... the accuracy, safety, and relevance of AI-generated outputs for https://jobeax.com/link/ddjT6tyr2q59Y1Of Skillset : - Demonstrated expertise in Python and the data science stack, including Pandas, NumPy, and Scikit-learn, to manipulate and analyze complex datasets effectively.- Proven ability to design and fine-tune Deep ...

... Qualifications ~ Bachelor's degree in Computer Science, Information Technology, Engineering, or a related discipline. Work Experience ~2–4 years of experience in Data Engineering, Business Intelligence, Database Development, or Data Warehousing. Additional Information Health Insurance and Personal Accident Insurance Work-from-home ...

Kroll is hiring a Senior Data Scientist to join its Enterprise Data Group. This role is designed for an experienced practitioner who can lead end-to-end ML initiatives, mentor junior team members, and partner with business and engineering stakeholders to translate complex problems into production-grade data science solutions. ...

... develop, and maintain scalable data engineering and enterprise data warehouse solutions.- Develop complex SQL and PL/SQL queries, stored procedures, functions, and data processing workflows.- Perform query and database performance tuning for large-scale data workloads.- Develop and maintain data ingestion, transformation, reconciliation, ...