161 numerical data entry jobs in Pune, India.

... Python LLM / NLP EDA (Exploratory Data Analysis) Cloud Platforms (AWS, Azure, GCP) Explainable AI At least 4+ years of relevant experience and track record in Data Science: Machine Learning, Deep Learning and Statistical Data Analysis. MSc or PhD degree in CS or Mathematics, Bioinformatics, Statistics, Engineering, Physics ...

... skills; Experience as a Data Engineer or in a similar role, with a strong understanding of data engineering concepts and methodologies, including data modeling and database design to support scalable data solutions. Strong knowledge of writing and optimizing SQL queries to retrieve, manipulate, and analyze data efficiently. Experience ...

... Work as an Individual Contributor on new and existing projects with a positive, problem-solving https://jobeax.com/link/rCyzW0NBvdP0uFXm Candidate :- Strong Data Scientist / AI Engineer / Generative AI Engineer profile.- 3+ years of hands-on experience in Data Science, Artificial Intelligence, Machine Learning, Deep Learning, ...

... scalability Perform end to end data science workflows data collection cleaning feature engineering model training validation and monitoring Primary skills Technology Data Science Machine Learning Technology Machine learning data science Experience building and optimizing NLP systems using modern approaches e AI-Data science- Data ...

... and implementing scalable and secure data processing pipelines using Azure Data Factory, Azure Databricks, and other Azure services.- Managing and optimizing data storage using Azure Data Lake Storage, Azure SQL Data Warehouse, and Azure Cosmos DB.- Automating data pipelines and workflows to streamline data ingestion, processing, ...

... standards.- Develop and review Python-based data engineering solutions, frameworks, and reusable components.- Design and optimize ETL/ELT pipelines for large-scale data processing.- Work with structured and unstructured data across data lakes, data warehouses, and modern data platforms.- Define strategies for data ingestion, ...

... expertise in designing and managing Snowflake data warehouses, including performance tuning and resource monitoring.- Proficiency in building modular and scalable data transformations using Data Build Tool (dbt).- Advanced capability in writing complex SQL and Python scripts to manipulate large datasets and automate data processing ...

Key Responsibilities : Data Engineering & BI Modernization : - Design and build ETL/ELT pipelines to migrate legacy BI systems (SSRS, Cognos, legacy SSAS/OLAP cubes) to modern cloud data platforms (Snowflake, Databricks, Azure Synapse, BigQuery, or similar).- Re-architect and optimize data models (star/snowflake schemas, ...

About the Role: As a Data Scientist, you'll embark on an exciting career journey, mainly focusing on supporting the team with entry-level data tasks while gaining exposure to a variety of data science techniques. You will help collect, clean, and analyze data to provide preliminary insights that will contribute to predictive ...

... robustness, and scalability. Perform end-to-end data science workflows: data collection, cleaning, feature engineering, model training, validation, and monitoring. Experience building and optimizing NLP systems using modern approaches (e.g., Technology- Data Science- Machine Learning, Technology- Machine learning- data science

We are looking for a Senior Data Engineer with strong expertise in Azure Databricks, PySpark, and distributed computing to develop and optimize scalable ETL pipelines for manufacturing analytics. The role involves working with high-frequency industrial data to enable real-time and batch data processing. Perform data pre-processing, ...

... develop, and maintain scalable ETL/ELT data pipelines on GCP.- Build and optimize data solutions using BigQuery, Dataflow, Cloud Storage, and Pub/Sub.- Develop data processing workflows using Python, SQL, and Spark/PySpark.- Design and implement data models and data warehouse solutions.- Perform data ingestion, transformation, ...

... AI, and financial services data science, bringing innovative approaches into the organization. Bachelor's degree in Statistics, Mathematics, Computer Science, Data Science, Economics, Engineering, or another quantitative discipline. Master's or PhD is a plus. At least 3 years of hands-on experience in Data Science, Machine ...

... consistently. You will also partner with the different teams to identify, pilot, and operationalize AI- and automation-driven tools that reduce manual work, improve data quality, and scale our workflows, while training your team to adopt these tools safely and effectively. A Day in the Life of a Provider Data Operations Team Lead: ...

... in Python and related data science libraries (Pandas, NumPy, Scikit-learn, TensorFlow, PyTorch, etc.). - Experience with Firebase, REST APIs, and cloud-based data integration. - Advanced skills in data visualization and BI tools (Looker Studio, Tableau, or Power BI). - Solid understanding of data architecture, data modeling, ...

... programming language (Python OR Java) Proficiency with Pyspark,relational databases, SQL and data pipelines Knowledge of financial concepts (e.g., Experience in data modeling and visualisation is a plus Experience with any public cloud is highly desired (AWS preferred) Experience with data-lake or data platforms like Databricks ...

... models, and enabling analytics using cloud-based data warehousing technologies. You will work closely with cross-functional teams to deliver reliable, high-quality data solutions that support business intelligence and data-driven https://jobeax.com/link/eE8GidNBDnRURIg5 Skills:- dbt (Data Build Tool)- Apache Airflow- Snowflake- ...

... data processing.- Work with ADLS, Azure Databricks, Azure Data Factory, Synapse, and Azure SQL DB.- Build and maintain data lakes, analytical pipelines, and data processing frameworks.- Work with Delta Lake / Delta Live Tables for reliable data processing.- Develop solutions for both big data and relational database environments.- ...

... recommendations to stakeholders.- Collaboration: Partner with cross-functional teams to understand business requirements and deliver data-driven solutions.- Data Governance: Maintain high standards of data accuracy and integrity across reporting systems.- Data Visualization: Experience with data visualization tools such ...

Full time