4,317 it data analyst jobs in India.

... Building the Student Experience division - Design the target operating model for a function Manifest does not yet fully have: a Student Insights Lead who lives in data and qualitative research, a Journey Design Specialist who can make the abstract concrete, an AI Experience Analyst who bridges engineering and empathy, a Sales ...

... new comers. Contributing Responsibilities - When needed, Participate to the full development lifecycle including design, estimation, planning, development, unit test, release and implementation support. - Work with the Business Analyst and Solution architects to understand the business requirements and translate them to ...

Global Category Expert (Sr Analyst) are expert practitioners in creating competitive environments and have a strong bias for decision-making rooted in data and analytics. They are highly effective communicators, able to articulate the value proposition that procurement can bring to their organizations. The role need to ...

Data Scientist Bangalore | 3+ Years Experience Role Overview Looking for a Data Scientist with strong expertise in Machine Learning, Python, SQL, and Optimization to build scalable, production-ready analytical solutions. Key Skills Machine Learning – Regression, Classification, Clustering, Forecasting, Recommendation Systems ...

... such as Python, along with experience working with popular deep learning frameworks like PyTorch and TensorFlow. - Understanding of Graph Database and/or Vector Database along with knowledge of cloud services (e.g., AWS, Azure, GCP). - Experience with deploying AI models in production environments. - Familiarity with domain-specific ...

... adopt Risk-Based Monitoring in 2016 (now Risk-Based Quality Management) and to establish the Centralised Monitoring Unit (CMU) in Bangalore. Working closely with the RBQM office in Denmark and global trial teams, CMU Bangalore contributes to identifying critical data, processes and risks – ensuring high-quality data, optimised ...

... violated rule, source/citation, confidence, rationale and recommended corrective action. - Design Human-in-the-Loop feedback mechanisms to capture accept/reject/edit/override decisions and improve models, prompts, retrieval and rules. Model Evaluation & Productionization - Define accuracy benchmarks and golden datasets; track ...

... 100. We are committed to accelerating client success and positively impacting society through responsible innovation. We are one of the world's leading AI and digital infrastructure providers, with unmatched capabilities in enterprise-scale AI, cloud, security, connectivity, data centers and application services. our consulting ...

... architectures. - Ability to collaborate effectively across data science, security, operations, customer-facing, and engineering teams. Permanent workplace flexibility with the ability to work from home, from an office, or through a combination of both within India. Strong exposure to data science, machine learning, application ...

... such as Python, along with experience working with popular deep learning frameworks like PyTorch and TensorFlow. - Understanding of Graph Database and/or Vector Database along with knowledge of cloud services (e.g., AWS, Azure, GCP). - Experience with deploying AI models in production environments. - Familiarity with domain-specific ...

... issues.- Participate in production support, incident resolution, root-cause analysis, and continuous improvement initiatives.- Help define and implement DevOps architecture, standards, and best practices for enterprise data platforms.- Ensure security, scalability, reliability, and high availability across deployment https://jobeax.com/link/72xljNf4GfrhBYcv ...

... narratives that resonate with credit risk and product leaders Contribute to research and outcome measurement deliverables for development finance and grant partners, with rigorous, audit-ready data outputs 3+ years in applied ML/data science with shipped, production models not just research - Deep expertise in at least one of: ...

... , and Azure Databricks . - Partner with data scientists and business stakeholders to operationalize machine learning models. - Champion data governance, metadata management, and operational excellence across data platforms. - Ensure data quality and integrity by developing validation frameworks and monitoring mechanisms. ...

... Dataflow- Dataproc- BigQuery- AirflowKey Responsibilities :- Design, develop, and optimize endtoend data pipelines using PySpark, Dataflow, and Dataproc- Implement data ingestion, transformation, and loading processes into BigQuery- Orchestrate workflows and schedule jobs with Apache Airflow- Collaborate with data analysts, scientists, ...

... basic concepts and capabilities of programming; ability to use tools, techniques and platforms in order to write and modify programming languages. Query and Database Access Tools: Knowledge of data management systems; ability to use, support and access facilities for searching, extracting and formatting data for further ...

... and event-driven systems. Data Science and Machine Learning - Data Science and Machine Learning - Python Database - Database Programming - SQL Big Data - Big Data - Pyspark Data & AI - Data Engineering - Data Quality & Validation Iris provides world-class benefits for a personalized employee experience. These benefits are ...

... seasoned Data Engineer with 5 - 7 years of experience in data engineering, cloud platforms and distributed systems, along with 2+ years of hands-on experience with Palantir Foundry/ AIP & Palantir https://jobeax.com/link/S4RuHJ1G3doUiTso ideal candidate will work on designing scalable data solutions, building robust data ...

... for both human and AI consumers.- Familiarity with LLM-friendly data interfaces and data quality frameworks (e.g., Monte Carlo, Great Expectations).- Flexibility to overlap with US working https://jobeax.com/link/gREckINZoVr4TSqr Human With Us : - If you have the skills but are hesitant to apply because of your background, ...

... implementation of Data Quality initiatives, including data quality checks, data cleaning, data enrichment, and normalization efforts. - Assist in the provision of data to support actionable oversight in the identification of potential issues with new Data Quality Framework Checks. - Assist the team to integrate Data Quality ...

Senior Lead Data Engineer