2,449 data analytic internship jobs in India.

... contributing to large-scale data projects on Google Cloud Platform. You will work closely with senior engineers and data analysts to build and maintain robust data pipelines, helping to turn raw data into actionable https://jobeax.com/link/d6zqLcygnqsI43u7 Responsibilities:- Develop, test, and maintain data pipelines and ...

... analysis, modelling, implementation and evaluation. Define appropriate statistical, mathematical and machine learning approaches for complex business problems. Lead data exploration, cleaning, transformation and feature engineering to create reliable analytical datasets. Design, implement and optimise machine learning models, ...

... Design, develop, and maintain scalable backend services and RESTful APIs using Python and FastAPI. Build and integrate APIs that expose statistical models, analytical services, and machine learning solutions to front end and external systems. Collaborate with data scientists and business stakeholders to operationalize computational ...

... focus on Java, Microservices and Kafka Java Microservices Back end Developer Java Sprint boot Microservices with expected knowledge of Kafka, Basic knowledge of Database. Experience with TDD and BDD. Must have experience with one of cloud (GCP, AWS or Azure). Also experience with Kubernetes and containers - Hands-on experience ...

... Responsibilities: Design, develop, and maintain scalable ETL/ELT pipelines. Build and optimize data warehouses, data lakes, and data models. Develop highly available data ingestion and processing systems for large datasets. Collaborate with cross-functional teams to deliver data solutions. Ensure data quality, performance, reliability, ...

• Hybrid

Role Overview : We are seeking a seasoned Data Engineering professional to spearhead our data architecture initiatives and drive the evolution of our analytical ecosystem. In this role, you will be responsible for designing robust data models and optimizing our Snowflake-based data warehousing environment to support complex ...

• Hybrid
• Contract

Project Role: Associate Data Team Lead/Data Team Lead Work Experience: 8+ Years. Work Mode: Hybrid/Homebased Clinical data management, Rave, SSU experience. Shift Timings: 5:00 am -2:00 pm / 2:00 pm – 11:00 pm The shift assignment is purely based on project requirements and the candidate must be open to working in either ...

$11 USD

... well-documented semantic layers and structured transformations (using SQL and modern modeling frameworks) to expose reliable datasets. Support both traditional analytical queries (BI dashboards in Grafana, Looker, or Kibana) and downstream machine learning and automated agentic pipelines. Data Quality, Reliability & Observability ...

• Remote
• Contract

... years of experience as a Data Analyst or Analytics-focused Engineer . Strong proficiency in Python for data analysis. Solid experience with SQL and relational datasets. Experience analyzing ML outputs and evaluation metrics . Ability to work with large, complex datasets and draw reliable insights. Experience writing clean, ...

... affordable healthcare. Build and manage digital analytics datasets and reporting solutions Develop data pipelines and analytical reporting frameworks Support data validation, UAT, process improvements, and analytics initiatives. Experience & Qualification: Python Power BI & Dashboard Development Data Modeling & Data Validation ...

• Remote

... strategy and operational decision-making. Requirements - Bachelor's degree in Data Science, Statistics, Mathematics, Economics, Computer Science, Business Analytics, or a related field - 0-2 years of experience in data analysis or a relevant internship/project - Strong analytical and problem-solving skills - Proficiency ...

• Hybrid

As a Lead Data Scientist, you will lead the design, development, validation, and operationalization of machine learning and advanced analytics solutions that power intelligent products and business capabilities. This role combines strong hands-on expertise in model development with practical experience in MLOps, deployment, ...

Shape the Future with Dun & Bradstreet At Dun & Bradstreet, we believe data has the power to create a better tomorrow. As a global leader in business decisioning data and analytics, we help companies worldwide grow, manage risk, and innovate. Are you ready to make an impact and help shape what's next Join us! We are looking ...

ProcDNA is a global consulting firm. We fuse design thinking with cutting-edge tech to create game-changing Commercial Analytics and Technology solutions for our clients. Instead, you'll be out in the open water, shaping the future with brilliant minds. We are looking for a Lead Data Scientist who can own data science engagements ...

• Hybrid
• On-site

700k

... lifecycle. Design and build scalable backend services, REST APIs, integrations, and reusable software components using Python and, where relevant TypeScript. Develop data ingestion, transformation, service-to-service communication, and automation capabilities that support reliable product experiences. Contribute to AI-enabled features ...

... Design, develop, and maintain scalable backend services and RESTful APIs using Python and FastAPI. Build and integrate APIs that expose statistical models, analytical services, and machine learning solutions to front end and external systems. Collaborate with data scientists and business stakeholders to operationalize computational ...

• Full-time

... works (DAGs, tasks, scheduling). Apache Flink: Basic conceptual knowledge of distributed data processing or stream processing using Flink. Soft Skills: Strong analytical thinking, problem-solving skills, and a genuine eagerness to learn and adapt to new technologies. Good-to-Have (Bonus Points): Spatial Data: Knowledge of ...

... data ingestion pipelines leveraging Databricks, Airflow, Kafka, and Terraform. Ensure high performance, reliability, and efficiency by optimizing large-scale data pipelines. Develop data processing workflows using Databricks, Delta Lake, and Spark technologies. Maintain and improve the Data Lakehouse, utilizing Unity Catalog ...

• Hybrid
• On-site

... pass an acceptance gate before it is declared complete — you own the evidence behind that. Enabling everyone else The integration and document engineers land data into your platform. Analytics and validation work builds on top of it. Making both easy is part of the job. The Expected Stack The architecture is being finalised ...

80k

... management plans and documentation, ensuring compliance with industry standards and regulatory requirements. - Participate in the identification and resolution of data discrepancies and issues, working to streamline data flow and enhance data quality throughout the study lifecycle. - Collaborate closely with cross-functional ...