3,043 data science analytics jobs in India.

Blend is a premier AI services provider, committed to co-creating meaningful impact for its clients through the power of data science, AI, technology, and people. With a mission to fuel bold visions, Blend tackles significant challenges by seamlessly aligning human expertise with artificial intelligence. The company is ...

... decision-making. you should apply if : - have 4+ years of hands-on experience (or 2+ years if holding a master's degree) in data science, machine learning, or analytics roles solving real-world business problems. - hold a bachelor's or master's degree in a quantitative field such as computer science, statistics, mathematics, ...

• Contract

Corning is one of the world’s leading innovators in glass, ceramic, and materials science. From the depths of the ocean to the farthest reaches of space, our technologies push the boundaries of what’s possible. ​ They help move our company, and the world, forward. ​ ​You can help connect the unconnected, drive the future ...

... want to work on production systems, not pilots. As a Data Engineer with an AI Analytics specialization, you will own the design and delivery of AI-augmented data pipelines and analytical systems within the CIA with Data and Analytics organization. You will build the data infrastructure that feeds machine learning models ...

$6.4 USD

... engineering, LLM-based data processing, RAG pipelines) is a good to have Education And Experience - Degree in Computer Science, Data Analytics, Statistics, or a related field - 3 - 7 years of hands-on experience in data analysis, reporting, or business intelligence, with a track record of turning data into business insights

• Hybrid

Role Summary:As a Power Platform Developer, you will design, build, and maintain business applications, automated workflows, external-facing portals, and analytics solutions using Power Apps, Power Automate, Power BI, Power Pages, and Dataverse. You'll work closely with project managers and client stakeholders to translate ...

... end-to-end scheduled and event-driven data workflows using AWS Step Functions and AWS Glue Workflows.4. Data Warehousing & Operational Databases : - Enterprise Data Warehousing : Own the architecture, data modeling, and performance tuning in Snowflake to support downstream BI, connected-fleet dashboards, and data science ...

... requirements.- Translate business requirements into scalable and practical Oracle Fusion solutions.- Own functional areas including Accounts Receivable, customer master data, billing, invoicing, adjustments, ageing, reconciliation, and refunds.- Ensure accurate accounting flows from Accounts Receivable to General Ledger.- Provide ...

• Hybrid
• Full-time

... evaluate AI solutions using real-world enterprise datasets. What you'll bring Required Qualifications - 7+ years of experience in knowledge engineering, semantic data systems, applied AI, or data science in industry, research labs, or advanced academic environments. - Master's or PhD in Computer Science, Applied Mathematics, ...

• Contract

... Education & Experience - Bachelor's degree in Computer Science, Information Systems, or a related field with emphasis on system design, distributed systems, or data warehousing — or equivalent practical experience - 5–8 years of hands-on experience building and operating production data pipelines, data models, and platform ...

... role preferred. ➢ Basic Science/Bachelor of Science or Master of Science degree in Computer Science and/or equivalent work experience preferred . ➢ 8+ years in database design and development experience Position: Data Engineer, Pr ➢ Prior experience of leading technical teams is a plus. ➢ Thorough experience in data warehouse ...

• On-site

... technical concepts to business audiences. - Experience in leading project teams and providing technical direction. Extensive experience working in the data science, data engineering, or analytics profession. Hands-on experience working with extremely large data sets and building scalable models. Experience in data visualization ...

• Full-time

Full time

• Hybrid

15250

... feedback. Ensure continuous professional development of team members. Qualifications Educational qualifications & Experience: Bachelor's degree in computer science, Information Security, or related field. 10–12 years of experience in data loss prevention, data discovery/classification, and database/data security. Experience ...

• Remote

... a clear and actionable format to stakeholders. Stay updated with industry trends, analytics tools, and best practices. Qualifications - Bachelor's degree in Data Analytics, Statistics, Mathematics, Computer Science, Business Analytics, or a related field. - 2–5 years of experience as a Data Analyst or in a similar analytical ...

• Hybrid

30k

... Experience with data visualization tools and techniques. Knowledge of databases and data management. Experience & Qualifications Experience Range: 8+ years in IT, data science, AI/ML, or related fields. Bachelor's or Master's degree in Computer Science, Data Science, Statistics, or a related discipline. Proven track record of ...

• Hybrid

... •Professional certification, e.g., Open Certified Technical Specialist with Data Engineering Specialization - •Cloud platform certification, e.g., AWS Certified Data Analytics – Specialty, Elastic Certified Engineer, Google Cloud Professional Data Engineer, or Microsoft Certified: Azure Data Engineer Associate - •Understanding ...

... integrators and technology vendors against technical specification and delivery commitments.- Experience establishing a data engineering function from an early stage is an https://jobeax.com/link/0SsRrzbwgYJapqZ3 Qualifications :- B. Tech / B.E / MCA / Masters in Computer Science, Data Science or equivalent. (ref:hirist.tech)

• Hybrid
• Full-time
• Contract

... modeling to develop and evaluate AI solutions using real-world enterprise datasets. What you'll bring - 6 + years of experience in knowledge engineering, semantic data systems, applied AI, or data science in industry, research labs, or advanced academic environments. - Master's or PhD in Computer Science, Applied Mathematics, ...

• 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 ...