4,191 data power jobs in India.

... AI, and financial services data science, bringing innovative approaches into the organization. Bachelor's degree in Statistics, Mathematics, Computer Science, Data Science, Economics, Engineering, or another quantitative discipline. Master's or PhD is a plus. At least 3 years of hands-on experience in Data Science, Machine ...

... anchored in our commitment to innovation, empowering businesses with features designed to optimize efficiency and elevate employee experiences. We are looking for a Data Engineer to design scalable data models, build robust pipelines, and ensure reliable, high-quality data across the company. You will own our data infrastructure ...

... of experience in Compliance, KYC/AML, Risk Intelligence, or Sanctions Screening platforms. Experience with sanctions, watchlists, PEP data, corporate registry data, beneficial ownership data, or adverse media datasets is highly preferred. - Exposure to NLP/ML , Elasticsearch/OpenSearch, and multilingual data processing is ...

... for data governance. Perform risk assessments and DPIAs. Create and put into effect data privacy policies. Risk Evaluations Give instructions and directions on data protection. Communicate with authorities and deal with data breaches 5 years' experience working within Data Protection - Strong knowledge of GDPR and data protection ...

... collaborate alongside data team members based in Ireland, USA and India. Following the successful delivery of some fantastic products in 2024, we have embarked upon a data-driven strategy in 2025. We have a huge amount of data and are keen to accelerate unlocking its value to delight our customers and colleagues. You will be tasked ...

Data Scientist :- Bangalore, Chennai, Pune Location India - Bangalore, Chennai, Pune Salary INR 700000 - 900000 Experience 2 - 4 Years Compensation Details Role: Data ScientistExperience Level: Bachelor's/Master's degree in Data Science, Computer Science, Statistics, Mathematics, or a related field from a reputed institute. ...

... scalable data capabilities Strong programming, data engineering, data modeling and analytical problem-solving skills, including experience with large and complex datasets Experience operating in cross-functional environments and partnering with business, analytical, technology and data stakeholders to deliver complex initiatives ...

... experience applying AI/ML to moderation, fraud/risk detection, anomaly detection, or similar domains - Strong proficiency in SQL and Python, with experience in data for real-time and streaming data - Experience building executive-ready dashboards and BI reporting for large-scale programs - Solid understanding of marketplace ...

... shape the future of clinical development. As a Senior Clinical Data Science Lead at ICON, you will lead the analysis, interpretation, and management of clinical data to drive the success of our clinical trials. What You Will Do: You will oversee clinical data science workstreams, ensuring deliverables meet quality and timeline ...

... business logic, and data transformations across large-scale systems. - Proficiency in Python and SQL, including working with terabyte-scale datasets to identify data anomalies and logic issues. - Strong understanding of data quality automation frameworks, CI/CD pipelines, and tools like Airflow, Spark, Databricks, or Snowflake. ...

... master data from third-party data providers. This team plays a crucial role in our core business, enabling alignment across public and alternative investment data products and empowering clients to effectively manage their investment portfolios. As a Senior Software Data Engineer you will collaborate closely with product ...

... experience (e.g., 7 + years) as a Data Quality Engineer or similar role. Familiarity with modern data catalog and metadata management tools. Solid understanding of data quality principles, methodologies, and best practices Strong SQL skills for data querying and analysis. Experience with data profiling and data analysis techniques.

... reducing cost, rewarding big users not penalizing them, empowering more people and leading the human centric AI future. Telecom Invented. Senior Data Scientist The Data Scientist will report to the Data Science Section Manager / Senior Data Scientist (10-12 years of experience). We are looking for Senior Data Scientist who will ...

... will shape AI-ready data capabilities on a modern Databricks Lakehouse foundation, enabling advanced analytics and intelligent applications. The role spans LLM-powered analytics, conversational AI, agentic workflows, governed data products, semantic layers, metadata intelligence, and RAG. You will establish scalable architecture ...

We are seeking a highly skilled Senior Data Engineer to architect, build, secure, and optimize end-to-end data pipelines and enterprise-grade data platforms. The ideal candidate brings deep expertise in Python, Snowflake, modern cloud ecosystems, data warehousing design, and DevSecOps-led automation. You will mentor junior ...

... ensuring scalability, reliability, and seamless integration with EMR/EHR systems. Align AI systems with interoperability standards such as HL7, FHIR, and healthcare data formats. Unstructured Data Processing: ~ Process and analyze unstructured healthcare data, including clinical notes, audio transcriptions, and diagnostic imaging, ...

... ability to communicate with our clients in the US. 3+ years experience with Microsoft ETL tools including SQL Server Integration Services (SSIS) and/or Azure Data Factory (ADF) required. 3+ years experience with Snowflake preferred. 3+ years experience with Microsoft PowerBI preferred. Experience or knowledge of Microsoft ...

... Azure BigQuery Dataflow Pub/Sub Dataproc Cloud Composer Data Fusion Cloud Storage Azure Data Services Python SQL Spark Terraform CI/CD GitHub Actions Cloud Build Data Architecture Data Modelling Data Mesh Data Fabric Data Products Data Contracts Data Quality Metadata Management Data Governance Data Observability Event-driven ...

... implement Generative AI models to solve business challenges. Perform data preprocessing, exploratory data analysis (EDA), and feature engineering (FE) to prepare data for modeling and optimization. Write efficient and scalable code in Python, R, and SQL to manage and manipulate data. Collaborate with cross-functional teams ...

... LangChain, OpenAI models, prompt engineering, RAG pipelines. - More on traditional machine learning with cloud aws exposure - Understanding of statistics, Ex – Data distributions, Data drift, and hypothesis testing - Experience in production level ML solutions. Ex – GIT, Modular coding and ML Pipelines - Good communication ...