2,003 data analytic internship jobs in India.

... data transformations. Reporting Enablement: Ensure the platform reliably feeds downstream BI tools (Power BI or similar) with clean, curated, analytics-ready data. Performance Optimization: Analyze and optimize Spark/pipeline workloads for performance, scalability, and reliability. Data Governance: Implement RBAC, data ...

... the teamThe Superpowers You'll Be Bringing To The Team : - Analytics expertise : 7+ years' experience in a highly technical analytics environment with proven analytics and insights expertise at Lead Analyst level or equivalent- Technical proficiency : Strong expertise in BigQuery SQL and data visualisation tools- Leadership ...

... artefacts that exploit data models to understand data and data integrations. This may include modelling data flows, developing CRUD matrices to understand master data, and the use of process models to illustrate master data flows.- Analyze complex datasets to identify trends, anomalies, data gaps, and business insights that ...

... workflows, and structured output pipelines for LLM applications. Fine-tune, evaluate, and optimize LLM-powered applications for accuracy, latency, and cost. Implement data preprocessing, feature engineering, and ML model training workflows. Work with structured and unstructured datasets to solve business problems. Collaborate with ...

... hands-on professional experience Education: BE/B.Tech/ME/M.Tech/MCA/MSc IT Primary Skills (must have): Strong Azure or AWS knowledge Strong working knowledge on Data Science, Artificial Intelligence, Machine Learning Secondary Skills (good to have): SQL, Python Professional Attributes: Strong analytical and problem-solving ...

We are looking for a hands-on Data Scientist to join the Commodities At Sea (CAS) team. The role combines large-scale data processing, data wrangling and analytical problem-solving with the development of reliable, production-ready data products for maritime and commodity-flow analytics. The successful candidate will work ...

... readiness in a medical device environment. Guide SAP functional teams, data migration teams, integration teams, analytics teams, and business data stewards on master data standards, data models, dependencies, interfaces, and quality controls. Drive integration and enterprise data alignment: Ensure master data is consistently integrated ...

... proficiency in SQL and Python for data processing and pipeline development. Data Platforms: Hands-on experience with Snowflake, dbt, and modern cloud data warehouses. Data Modelling: Deep experience with dbt and modern data modelling practices. Data Platforms: Hands-on experience working with Snowflake or comparable cloud data warehouses ...

... data. Working under the guidance of an experienced Data Engineers and Architects, you will gain hands-on experience designing and maintaining scalable, efficient data pipelines that support enterprise web applications, analytics, and business intelligence. We are seeking a Lead Data Engineer to join our Measurement team within ...

... insights effectively to technical and non-technical stakeholders. Data Engineering & Solution Delivery Collaborate with data engineering teams to establish scalable data pipelines and AI-ready data platforms. Ensure data quality, governance, and compliance standards are maintained across analytical solutions. Support deployment, ...

... comprehensive benefits package includes health insurance, wellness programs, learning & development opportunities, and more. Job Title: Data Scientist 2 Understand data landscape Perform ad-hoc analysis and present results in a clear manner Work on the full lifecycle of machine learning development including sourcing, dataset ...

... strategy. It ensures the design, implementation, and continuous improvement of data pipelines, scalable and reusable frameworks, and implement data governance and data quality engines. The position enables trusted, governed data across systems, supporting analytics, compliance, and business operations at ELGi. Data Engineering ...

... least one certification • Databricks Certified Data Engineer Associate OR Databricks Certified Data Engineer Professional Additional Certifications (Preferred) - Databricks Certified Associate Developer for Apache Spark - Cloud platform certifications (Azure Data Engineer Associate, AWS Certified Data Analytics, or Google Cloud ...

Data Engineer – Python & Pyspark (AWS) Exp: 6+ yrs Location : Chennai Client Place Guindy Work Mode : All 5 days Role Overview We're seeking a Senior Data Engineer with strong hands-on expertise in Python, PySpark, and AWS to design, build, and operate scalable data pipelines for analytics and operational workloads. You ...

... Prefect, or Dagster.- Work with AWS services including Lambda, S3, ECS/EKS, SQS, and CloudWatch.- Design and optimize data models and schema structures.- Develop analytics dashboards and reporting solutions using Amazon QuickSight.- Implement CI/CD pipelines and Infrastructure as Code (IaC).- Monitor and maintain data platforms ...

Position: Data Scientist Experience: 3 – 4 Years We are looking for a Data Scientist to help us see those patterns earlier: which investors need a nudge, which portfolios are drifting off-plan, and which programs are actually moving the needle. Investment and portfolio analytics- build models that surface portfolio drift, ...

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. ...

... deployment to monitoring—while continuously identifying risks, blockers, and opportunities for improvement. Background in healthcare payment integrity, clinical data workflows, or payer/provider analytics. Strong thought leadership in AI/ML, including guiding stakeholders on feasibility, risk, architecture, and adoption strategy. ...

... experience designing and building applications using classical ML models and Large Language Models (LLMs). - Expert-level proficiency in Python, SQL and its data science libraries (e.g., Proven track record of leading complex, end-to-end data science projects that have delivered significant business impact. Experience ...

... queries). Cloud: Azure (Mandatory), AWS or GCP (Good to have). SQL and Scripting: Ability to read/debug SQL and Python scripts. Monitoring: Azure Monitor, Log Analytics, Datadog, or equivalent tools. Freshdesk, Jira, ServiceNow, or similar. DevOps: Docker, Kubernetes), Git, CI/CD pipelines (Exposure preferred). Design and ...