3,082 data science analytics jobs in India.

... Description :Skills and Competencies :- Experience in data science, data engineering, machine learning, financial analytics, digital assets, capital markets or risk analytics- Strong understanding of structured and unstructured data, including on-chain and off-chain data sources- Experience developing scalable data, analytics or ...

We are looking for a Retail Data & Analytics senior Analyst to support data-driven decision-making across accounts. The ideal candidate will have strong knowledge of retail/e-commerce data , hands-on experience with Databricks and Power BI , and an intermediate understanding of Data Science and statistical modelling . The ...

... MLOps tools.- Experience building applications using AWS Serverless technologies such as Lambda, SQS, Fargate, DynamoDB, S3.- Experience with Neo4j and graph analytics.- Demonstrated experience leading data science projects and cross-functional, cross-geographical teams spanning multiple regions and time https://jobeax.com/link/6euvzHctFVHqvKRa ...

... fast-evolving environments while maintaining delivery https://jobeax.com/link/mSbPVEULuHq7CiRK Skills:- Must have hands-on experience or prior experience in Data Engineering or Data Analytics tools such as Python, PySpark, SQL, Databricks, Neo4j, and Advanced Excel.- Pharma or Life Sciences domain experience would be nice ...

• Hybrid
• On-site

... in deep expertise from banking and payments with a strong background in data science to solve complex problems and unlock business value. Manage and deliver analytics projects from conception to completion with actionable insights and recommendations. Drive portfolio strategies with the use of client data and/or other sources ...

• Full-time

Project Role : Data Engineer Project Role Description : Design, develop and maintain data solutions for data generation, collection, and processing. Create data pipelines, ensure data quality, and implement ETL (extract, transform and load) processes to migrate and deploy data across systems. Must have skills : Apache Spark, ...

Rs 2.5 - 4.5 lakhs p.a.

... business needs into technical solutions by designing data models and reports Perform exploratory data analysis and implement automated data quality checks Optimize data feeds and ensure timely data availability using Change Data Capture and other approaches Maintain data governance by enforcing best practices in data quality, ...

... maintain scalable data pipelines using Python, SQL, and Spark/PySpark.- Build and manage data workflows using Azure Data Factory, Azure Databricks, and Synapse Analytics.- Design and implement ETL/ELT processes for data ingestion and transformation.- Integrate data from multiple sources and ensure reliable data movement across ...

• Hybrid
• Full-time

Project Role : Data Engineer Project Role Description : Design, develop and maintain data solutions for data generation, collection, and processing. Create data pipelines, ensure data quality, and implement ETL (extract, transform and load) processes to migrate and deploy data across systems. Must have skills : Data Engineering ...

... debugging, and code quality best practices. Good understanding of data engineering fundamentals and advanced concepts. Experience building scalable and fault-tolerant data pipelines. Strong knowledge of CI/CD, automated testing, and production deployments. Understanding of Medallion Architecture, data modeling, data quality, and ...

... Solving Understanding the Problem Data Cleaning and Preparation Data Interpretation Data Visualization Basics of DS / ML Good working knowledge of Advanced Analytics, Basics understanding of DS / ML Exposure to cloud computing Software Engineering / Data Engineering Fundamentals Basic software design principals Unit testing ...

$180 USD

... Zinnia has over $180 billion in assets under administration, serves 100+ carrier clients, 2500 distributors and partners, and over 2 million policyholders. Our data team serves Zinnia through data engineering, data analysis, and data science. Our goal is to help uncover opportunities and make decisions with data. We partner ...

• Full-time

Project Role : Data Engineer Project Role Description : Design, develop and maintain data solutions for data generation, collection, and processing. Create data pipelines, ensure data quality, and implement ETL (extract, transform and load) processes to migrate and deploy data across systems. Must have skills : Python (Programming ...

... Overview :We are looking for a proactive Data Support Engineer to join our data engineering team. The role involves supporting, monitoring, and troubleshooting data pipelines and ETL processes, ensuring data reliability and smooth operations across Snowflake-based data https://jobeax.com/link/tlplQAnK5B36KMXq Responsibilities ...

• Hybrid
• On-site

... Champion best-in-class documentation, data lineage, and automated CI/CD deployment practices, ensuring transparency, auditability, and governance across all data assets. Demonstrate expert-level support for analytics and media teams, translating business challenges into scalable, high-performance technical solutions, leveraging ...

... metadata/semantic modelling frameworks is a strong advantage. Key Responsibilities Lead end‑to‑end data modelling activities (conceptual, logical, physical) for enterprise data platforms. Develop semantic and ontology‑driven models for business domains and analytics consumption layers. Design data models for Data Warehouses, Big Data ...

... in empowering brands across Asia. The Senior Data Scientist will work on data-driven initiatives to solve complex business challenges, leveraging advanced analytics, machine learning, and statistical modeling. This role requires expertise in translating data insights into actionable strategies and collaborating with cross-functional ...

... frameworks and data validation processes. Collaborate with IT, Product, and Analytics teams to align data quality initiatives. Develop, monitor and maintain data processes in AWS environments. Assist in automating data workflows and troubleshooting cloud-based data issues Bachelor's degree in computer science, data science, ...

... from client perspective Deliver codebase and documentation to local Data Science, Technology and Operations teams Bachelor’s / Master’s / Doctorate Degree in Data Science, Mathematics, Statistics or related fields involving statistical analysis of large data sets At least 3 years’ experience Strong attitude for data analysis ...

... skills for data extraction and manipulation.- Experience with cloud platforms (AWS, Azure, or GCP) and big data technologies (e.g., Spark, Hadoop) for scalable data processing and model deployment.- A proven ability to translate complex business problems into data science solutions and communicate technical concepts effectively ...