3,082 data science analytics jobs in India.

... detailed enough to manage assumptions, risks, and out- of- scope situations. Qualification(s): B. E / B. Tech or relevant degree in Business/IT Management/Computer Science. Experience Nature of Experience: Experience working on data- driven or software / application / web- based projects, or in the marketing and communications ...

... ML models. . Co-ordinate with the leads to perform feasibility studies/analysis with a critical point of view and support & maintain (troubleshoot issues with data and applications). . Working with data scientists and a variety of end-users (across diverse cultures) to ensure technical compatibility and user satisfaction. ...

... e-commerce business. Our platform leverages insights drawn from multiple data points that help our clients win in e-commerce by gaining a competitive edge with data-driven insights for sharper decision-making. The insights cover all aspects of e-commerce such as digital product portfolio analysis, supply chain analytics, ...

... financial reporting to lead business testing for financial reporting projects and system changes. The role will involve working closely with Finance, Reporting, Data, Change, and Technology teams to ensure solutions meet business requirements, data quality standards, and regulatory https://jobeax.com/link/v8IqMlkHIB1qA5Sh ...

... of reporting governance, financial reporting, and enterprise data quality https://jobeax.com/link/huZSC6ydR7oaYeOV Experience :- 5 - 11 years of experience in Data Analytics, Business Intelligence, or Data Engineering.- Experience working on enterprise reporting, governance, regulatory reporting, or financial analytics projects ...

Role Overview :The CTO owns ERP architecture, the POS network, RFID based inventory management, digital commerce, data analytics, CRM technology, cybersecurity and compliance with the Digital Personal Data Protection Act. The role calls for someone who selects the right stack for a jewellery business rather than importing ...

... Engineer to build and enhance our Scalable Data Platform, delivering curated historical datasets at security, index constituent, and portfolio levels to support analytics and client use cases across Aladdin. Data includes indicative attributes, prices, analytics, exposures, index-related and derived fields; datasets are quality-controlled ...

... product management, engineering, billing ops, and sales teams to understand data requirements and operational needs. Collaborate on initiatives that enhance data accessibility and usability for all stakeholders. Nice To Have: - Bachelor's Degree: Information Technology, Computer Science, Data Analytics, or a related field ...

... uncover and prioritize high-impact innovation opportunities. Analyse business challenges and identify use cases where emerging technologies (AI, automation, analytics) can deliver significant value. Develop innovation roadmaps aligned to client business goals.- Solution Architecture and Alignment: Design end-to-end solutions ...

... relocation within country Remote Type: This position is a hybrid of office/remote working Agility core practices, Business modelling, Creativity and Innovation, Data Analysis, Data design, Digital Analytics, Emerging technology monitoring, Information Assurance, Integration, IT Management, IT strategy and planning, Network ...

... and analytics initiatives. Professional & Technical Skills: Must To Have Skills: Proficiency in AWS Analytics. Experience with data warehousing solutions and data lake architectures. Strong understanding of ETL processes and data integration techniques. Familiarity with data governance and data quality frameworks. Knowledge ...

... (LDD)—and extending them into a standalone, buildable database structure. Traditional 'UI-first' database design is strictly banned; instead, you will engineer databases backward, starting exclusively from the defined End Document (ED) and reverse-engineering step-by-step to the Source Document (SD). Document Database Schemas ...

... LLM ecosystems (LangChain, LlamaIndex) is an added advantage Good to Have Experience in BFSI or analytics-heavy domains Exposure to MLOps tools and CI/CD for data pipelines Knowledge of NoSQL/vector databases (Pinecone, FAISS, Chroma) What We Offer Opportunity to work on cutting-edge AI/data infrastructure projects Collaborative, ...

... uncover and prioritize high-impact innovation opportunities. Analyse business challenges and identify use cases where emerging technologies (AI, automation, analytics) can deliver significant value. Develop innovation roadmaps aligned to client business goals.- Solution Architecture and Alignment: Design end-to-end solutions ...

... with SQL, Data Modeling, ETL/Data Warehousing concepts. - Knowledge of API-based and batch integrations. - Experience integrating Varicent with CRM, ERP, and Data Platforms. - Strong analytical, problem-solving, and stakeholder management skills. About NTT DATA NTT DATA is a $30 billion business and technology services ...

Designs and develops data models and data pipelines to enable efficient data collection and processing from diverse data sources. Implements data governance policies and procedures for data handling to manage data consistency, integrity, accuracy, security, and reliability. Implements rigorous data validation and integrity ...

Role Summary: We are seeking a highly skilled Data Engineer specializing in AWS and Databricks. The ideal candidate will design, build, and maintain scalable data pipelines, ensuring efficient data ingestion, processing, and integration from multiple sources—including Google Analytics event data. This role requires deep ...

... consumer buying behavior and revealing new pathways to growth. With a holistic retail read and the most comprehensive consumer insights—delivered with advanced analytics through state-of-the-art platforms—NIQ delivers the Full View™. NIQ, is an Advent International portfolio company with operations in 100+ markets, covering ...

... Oracle Database and SQL performance tuning. - Experience working with large datasets and data manipulation. - Experience with job schedulers and ETL tools (e.g., Familiarity with REST APIs and JSON/XML data formats. Exposure to cloud platforms (AWS) is a plus. Knowledge of data modeling and database design best practices.

... Generative AI, Data Science, and/or Enterprise Architecture, with a proven track record of delivering production-grade LLM and AI solutions. - Degree in Computer Science, AI, Data Science, Engineering, or a related field. Coding & Engineering Expertise ( Strong - Non-Negotiable) Python (primary, expert-level): You write clean, ...