3,018 data science analytics jobs in India.

... insight that can be used to drive competitive advantage. Qualifications - Bachelor's or advanced degree in CS/Technology, for instance a Master's degree or PhD in data science or math (e.g., Computer Science, Mathematics, Statistics, Data Science) or equivalent experience - 5 years + of relevant advanced analytics experience ...

... insight that can be used to drive competitive advantage. Qualifications - Bachelor's or advanced degree in CS/Technology, for instance a Master's degree or PhD in data science or math (e.g., Computer Science, Mathematics, Statistics, Data Science) or equivalent experience - 5 years + of relevant advanced analytics experience ...

• Hybrid

... Bachelors degree in Statistics, Economics, Analytics, Mathematics, Computer Science, Information Technology or related field and 5 years' experience in an analytics related field. Option 2: Masters degree in Statistics, Economics, Analytics, Mathematics, Computer Science, Information Technology or related field and 3 years' ...

... retrieval Contribute to the DataOps framework, automating data processes and enhancing data quality Implement monitoring and alerting systems to ensure smooth data operations Bachelor's or Master's degree in Engineering, Mathematics, Statistics, or a related quantitative field - 2–4 years of analytics, data science, or related ...

... reliability. Data Governance: Implement RBAC, data classification, and lineage tracking to ensure compliance and audit readiness. Team Leadership: Mentor and guide data engineers, fostering a culture of continuous learning and architectural rigor. Bachelor's degree in Computer Science, Information Systems, Data Science, or a ...

... serverless applications. - Hands-on experience with AWS services including Lambda, EC2, EMR, S3, Athena, Batch, Textract, and Comprehend. - Work seamlessly across Data Science, Engineering, Product, DevOps, and Data Engineering teams to align technical decisions with business goals, ensuring smooth integration of AI/ML capabilities ...

... serverless applications. - Hands-on experience with AWS services including Lambda, EC2, EMR, S3, Athena, Batch, Textract, and Comprehend. - Work seamlessly across Data Science, Engineering, Product, DevOps, and Data Engineering teams to align technical decisions with business goals, ensuring smooth integration of AI/ML capabilities ...

... principles.- Ability to bridge technical and business domains, translating complex data concepts into actionable strategies.Qualifications:- Master's/PhD in Data Science, Statistics, Computer Science, Business Administration or a related field.- 12+ years of experience in analytics and/or data science/ML roles, with 4+ ...

... passionate and driven professionals to join DataZymes, a next-generation analytics and data science company founded in https://jobeax.com/link/dukndooujfdBQLdm DataZymes, we focus on driving technology-led innovation and helping clients maximize the value of their data and analytics investments through cutting-edge platforms ...

... Docker, Cloud-Native Infrastructure, CI/CD pipelines. Industry Context: Data engineering experience in Banking Risk, Retail Products, Cards, Mortgage, Deposits, or Wealth Management. Assumed Requirements / Certifications: Databricks Certified Data Engineer, AWS Certified Data Analytics, or Azure Data Engineer Associate.

... of deep technical execution and emerging AI https://jobeax.com/link/f9LyLs7glaUomOJP And Qualifications :- 5 - 7 years of experience in a highly technical analytics or data science environment- Demonstrated experience delivering analytics solutions within a product or platform context, working in cross-functional teams- ...

1350

... 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 ...

• On-site

80k

... data science activities, supporting your team to deliver quality outcomes. Key responsibilities include: - Leading the design, development, and validation of data science programming solutions for clinical trials. - Collaborating with biostatisticians, data managers, and clinical teams to develop data specifications and ...

• Full-time

... using Airflow, MWAA, AWS Step Functions , or similar orchestration tools. Collaborate with Data Analysts and Data Scientists to deliver clean, structured, and analytics-ready datasets. Optimise data pipelines for performance, scalability, reliability, and AWS cost efficiency . Integrate data from multiple internal and external ...

• Hybrid
• On-site

... & Experience :- Experience: 5+ years of overall Data Science / ML experience, with 2+ years explicitly hands - on with LLMs, RAG, and Agentic AI frameworks.- Databricks Proficiency: Strong experience developing in the Databricks Lakehouse ecosystem (Delta Lake, MLflow, Unity Catalog, Databricks Model Serving).- GenAI Tooling: ...

• Hybrid
• On-site

... & Experience :- Experience: 5+ years of overall Data Science / ML experience, with 2+ years explicitly hands - on with LLMs, RAG, and Agentic AI frameworks.- Databricks Proficiency: Strong experience developing in the Databricks Lakehouse ecosystem (Delta Lake, MLflow, Unity Catalog, Databricks Model Serving).- GenAI Tooling: ...

... Storytelling- translate technical findings into clear, actionable recommendations for non-technical stakeholders, including senior leadership. 3-4 years of experience in data science, analytics, or a related quantitative role, ideally handling large, real-world datasets. - Strong hands-on skills in Python and SQL, with solid fundamentals ...

Senior Data Engineer Starts Immediately Competitive salary Competitive salary Experience We are looking for a Senior Data Engineer to join our team. In this role, you will design, build, and optimize scalable data pipelines on the Databricks Lakehouse Platform. You will partner with data science, analytics, and business ...

... applications, RAG architectures, AI assistants, and intelligent automation workflows. Evaluate, monitor, and continuously improve model performance and accuracy. Data Science & Analytics Perform exploratory data analysis to identify trends, opportunities, and business insights. Create dashboards, visualizations, and reports ...

Sigmoid Analytics is a leading Data solutions company backed by Sequoia Capital. We offer best in- end-to-end data value chain spanning across Data Science, Data Engineering and Data Ops. With data and technology at the core of our solutions, we are solving some of the toughest problems out there. The below role is for our ...