2,034 data scientist jobs in India.

... Experience in proposal creation and effort estimation. Exposure to multiple domains (Retail, BFSI, Healthcare, Manufacturing, CPG etc.). Certifications in Cloud / Databricks / AI/ML.Designation : Manager M1Employment Type : PermanentWork Mode : Work From OfficeWorking Days : 5 days (Sat-Sun week off)Shift : Fixed Shift (9 hours)Shift ...

Job Title: Data Analyst Are you ready to drive operational excellence and technical proficiency in data management As a Data Analyst, you'll play a pivotal role in ensuring the accuracy and efficiency of data processes for the US BBU. Your expertise will support key business functions in achieving strategic objectives, ...

... https://jobeax.com/link/CYOxrWtv7KilJskJ ResponsibilitiesGather, analyze, and document business and data requirements .Perform compensation and data analysis to identify trends, discrepancies, and data quality https://jobeax.com/link/7JBguaewrF6udpJR and maintain source-to-target data mappings and transformation https://jobeax.com/link/rvx3iKA97jxyuUEP data ...

EBO Management Information System (India) Travel Required Gather data from primary and secondary sources, ensuring the upkeep of databases and data systems. Cleanse data and scrutinize computer-generated reports and outputs to identify and rectify coding errors. Employ statistical techniques to scrutinize data and produce ...

... of where data comes from and how it is used. Builds and supports data pipelines using SQL, Snowflake, Python, Airflow, and API integrations. Clearly explains data issues and insights to senior leaders, including the CIO. Data observability and automated data quality frameworks End-to-end data lineage (source-to-target understanding) ...

... customer experiences. Designing the data model for data collection in the data warehouse Data Collection and data storage from existing and new data sources to the Data Warehouse and Data Lakes Building ELT/ETL solutions to enable batch processing and real-time data processing Maintaining data pipelines and monitoring data pipeline ...

... of experience in Compliance, KYC/AML, Risk Intelligence, or Sanctions Screening platforms. Experience with sanctions, watchlists, PEP data, corporate registry data, beneficial ownership data, or adverse media datasets is highly preferred. - Exposure to NLP/ML , Elasticsearch/OpenSearch, and multilingual data processing is ...

... applications and external systems through REST APIs, Web Services, Event Streaming, and other modern integration patterns. Understanding of Data Governance, Metadata Management, Data Quality, Master Data Management (MDM), and Data Lineage concepts. Strong knowledge of data security practices, including data encryption, masking, ...

... for data governance. Perform risk assessments and DPIAs. Create and put into effect data privacy policies. Risk Evaluations Give instructions and directions on data protection. Communicate with authorities and deal with data breaches 5 years' experience working within Data Protection - Strong knowledge of GDPR and data protection ...

... subscribers . As a data-driven organization , we process 2 trillion events daily and store 100 PB of data , enabling smarter business decisions. With growing data demands and evolving use cases, we need faster, scalable decision-making powered by analytics and AI. Lead Data Analyst at Airtel, you will play a pivotal role ...

... understanding of ETL/ELT concepts, data integration, data transformation, and data warehousing.- Experience designing and implementing data pipelines using multiple data sources.- Good understanding of Azure cloud services, security, networking, and data platform architecture.- Experience working with ERP data and ERP data flows.- ...

... collaborate alongside data team members based in Ireland, USA and India. Following the successful delivery of some fantastic products in 2024, we have embarked upon a data-driven strategy in 2025. We have a huge amount of data and are keen to accelerate unlocking its value to delight our customers and colleagues. You will be tasked ...

... 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: ...

... hands-on sessions on database concepts such as relational models, SQL, NoSQL, normalization, and database design. Teach advanced topics like query optimization, database security, data warehousing, and cloud databases. Build real-world capstone projects that combine data visualization with AI/ML applications. Stay up to date ...

... shape the future of clinical development. As a Senior Clinical Data Science Lead at ICON, you will lead the analysis, interpretation, and management of clinical data to drive the success of our clinical trials. What You Will Do: You will oversee clinical data science workstreams, ensuring deliverables meet quality and timeline ...

... business logic, and data transformations across large-scale systems. - Proficiency in Python and SQL, including working with terabyte-scale datasets to identify data anomalies and logic issues. - Strong understanding of data quality automation frameworks, CI/CD pipelines, and tools like Airflow, Spark, Databricks, or Snowflake. ...

... 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 ...

... experience (e.g., 7 + years) as a Data Quality Engineer or similar role. Familiarity with modern data catalog and metadata management tools. Solid understanding of data quality principles, methodologies, and best practices Strong SQL skills for data querying and analysis. Experience with data profiling and data analysis techniques.

... contemporary data architecture patterns (e.g., creating robust data pipelines, and delivering insight-driven analytics to help clients make informed decisions. Data Engineering & Architecture Design and implement data solutions using ADF, Microsoft Fabric, Synapse, Databricks. Build data models for scalable data processing, ...

... the data ecosystem within BlackRock. Our goal is to build and maintain a pioneering Enterprise Data Platform (EDP) that provides highly available, consistent data of the highest quality for all users of the platform, notably investors, operations teams and data scientists. EDP supports four outcomes that, together, enable ...