724 Full-time technical data science jobs in India.

Full time Hybrid work Local area Immediate start Worldwide Flexible hours

Full time Hybrid work Remote job Flexible hours

OBJECTIVES OF THE PROGRAMMEThe Health Systems, Access and Data (HSD) division is focused on supporting the achievement of universal health coverage (UHC) goals and health Sustainable Development Goals (SDG) and Fourteenth General Programme of Work (GPW14) targets, through equitable and resilient health systems that benefit ...

... (POC) , developing generic equivalent of Reference Listed Drug (RLD) for Topical products including Creams, Ointments, Gels, solutions etc. - Review scientific data, evaluate prototypes, and support technical decision-making. - Develop generic equivalents of RLD through formulation design, characterization and collaboration ...

... experiences across iOS, Android, and web platforms. This role offers end-to-end product ownership, exposure to modern frontend technologies, and opportunities for technical growth in a fast-paced environment. Know, understand and write TypeScript using the most up-to-date syntax and standards as needed and used by the framework, ...

... attribution. - Background in survey analytics, CSAT, CX domains — a strong plus given our product focus. - Contributions to open-source AI projects or published technical writing. Education · Bachelor's degree or higher in Computer Science, Information Technology, or a related field — or equivalent demonstrated experience.

... assistants/agentic workflows including usage, outcomes, cost, and usage-based pricing. Who you are - You have 3-6 years of full-time experience in product analytics, data science, growth analytics, consumer analytics, platform analytics, or a related field. - You have advanced SQL skills and experience working with event, session, ...

... matrixed organization - Experience managing end-to-end learning delivery across multiple concurrent projects or programs. Background in pharmaceutical, life sciences, or a regulated industry is strongly preferred. - Technical Skills: Familiarity with Articulate 360, Rise, or equivalent e-learning development platforms, ...

... data pipeline architecture and design principles. Experience with data warehousing solutions and ETL processes. Familiarity with cloud computing services and data storage solutions. Ability to troubleshoot and optimize data workflows for performance. Professional & Technical Skills: Must To Have Skills: Proficiency in Apache ...

Project Role : Data Engineer Project Role Description : Design, develop and maintain data solutions for data generation, collection, and processing. Create data pipelines, ensure data quality, and implement ETL (extract, transform and load) processes to migrate and deploy data across systems. Must have skills : Data Engineering ...

... participation/contribution in team discussions. Contribute in providing solutions to work related problems. Collaborate with data scientists and analysts to understand data needs and provide necessary data solutions. Monitor and optimize data pipelines for performance and reliability. Professional & Technical Skills: Must To Have ...

Project Role : Data Engineer Project Role Description : Design, develop and maintain data solutions for data generation, collection, and processing. Create data pipelines, ensure data quality, and implement ETL (extract, transform and load) processes to migrate and deploy data across systems. Large Language Models (LLMs) ...

... analytical reports. Practical understanding of data-driven decision-making. Experience communicating insights and findings to a team. Opportunity to develop technical, analytical, and professional skills through assigned data analytics projects. Candidates may be evaluated based on their application, relevant technical skills, ...

Project Role : Data Engineer Project Role Description : Design, develop and maintain data solutions for data generation, collection, and processing. Create data pipelines, ensure data quality, and implement ETL (extract, transform and load) processes to migrate and deploy data across systems. Data Engineering Minimum 5 ...

... Integration: Build and manage data pipelines to ingest data from various sources, including third-party and RESTful APIs. Build ETL/ELT processes using ADF, Fabric Data Flows , and Notebooks. Embed MDM solutions into pipelines, ensuring seamless data sync across systems. Data Storage and Management: Design and implement data ...

... large-scale data processing. Manage feature stores for machine learning pipelines. Work closely with Data Scientists and ML Engineers to ensure high-quality training data. Implement data quality checks, observability, and governance frameworks. Bachelor's or Master's in Computer Science, Data Engineering, or related field. Experience: ...

... in computer science, Information Technology, or a related field or equivalent experience. - Healthcare credentialing experience - 3+ years of experience as a Data Engineer or Analytics Engineer or similar role. - Proficiency in SQL, Python, or other relevant programming languages. - Strong experience with data warehousing ...

... Modelling, Ontology, Semantic Data Modeling - Preferred understanding of Data Analytics on Cloud landscape and Data Lake knowledge. - Cloud Data Engineering, Cloud Data Integration - Must be familiar with Data Architecture Principles. Professional Experience: - Strong requirement analysis and technical solutioning skill in Data ...

... ownership, OR - 2-3 years as Data/Backend Engineer with PM work (PRDs, roadmaps, user research) Technical Stack Depth Deep understanding: ETL/ELT pipelines, data warehousing, data lakes/lakehouses Advanced SQL (query optimization, not just SELECT statements) Hands-on with ONE of: Hive/Spark/Hadoop/HDFS, Snowflake/Databricks/BigQuery, ...

... Assist in maintaining governance and data security practices across cloud platforms. Professional & Technical Skills: ~ Experience with AWS, Azure, or GCP for data engineering workflows. Strong proficiency in PySpark, Spark, or similar frameworks for building scalable data pipelines. Understanding of Big Data architectures, ...