**Req ID:** 328578 NTT DATA strives to hire exceptional, innovative and passionate individuals who want to grow with us. If you want to be part of an inclusive, adaptable, and forward-thinking organization, apply now. We are currently seeking a Data Scientist to join our team in Bangalore, Karnātaka (IN-KA), India (IN). **Job Title: Data Scientist** **Location:** Bangalore (Hybrid) **Experience:** 5–7 years **Job Summary:** We are looking for a versatile and innovative **Data Scientist** with experience in **Azure Cloud** , **.NET** , **ReactJS** , and **Python (LangChain & FastAPI)** to join our cross-functional team. This role blends data science expertise with full-stack development and cloud deployment, enabling intelligent solutions that scale. **Key Responsibilities:** + Design and implement machine learning models and NLP pipelines using Python, LangChain, and FastAPI. + Develop and deploy data-driven applications on **Microsoft Azure** , leveraging services like Azure ML, Azure Functions, and Azure Data Lake. + Collaborate with backend developers using **.NET** and frontend developers using **ReactJS** to integrate AI models into scalable web applications. + Build APIs and microservices to serve ML models and data insights. + Perform data wrangling, feature engineering, and model evaluation. + Create dashboards and visualizations to communicate insights to stakeholders. + Ensure security, scalability, and performance of deployed solutions in the Azure environment. **Required Skills & Qualifications:** + Bachelor’s or Master’s degree in Computer Science, Data Science, or a related field. + Strong experience with **Python** , especially **LangChain** , **FastAPI** , and data science libraries (pandas, scikit-learn, etc.). + Proficiency in **.NET (C#)** for backend development. + Experience with **ReactJS** for building interactive UIs. + Hands-on experience with **Azure Cloud Services** (e.g., Azure ML, Azure Functions, Azure DevOps). + Solid understanding of RESTful APIs, microservices, and CI/CD pipelines. + Strong problem-solving and communication skills. **Preferred Qualifications:** + Experience with LLMs, vector databases, and prompt engineering. + Familiarity with containerization (Docker, Kubernetes). + Knowledge of MLOps practices and tools. + Exposure to Agile/Scrum methodologies. **About NTT DATA** NTT DATA is a $30 billion trusted global innovator of business and technology services. We serve 75% of the Fortune Global 100 and are committed to helping clients innovate, optimize and transform for long term success. As a Global Top Employer, we have diverse experts in more than 50 countries and a robust partner ecosystem of established and start-up companies. Our services include business and technology consulting, data and artificial intelligence, industry solutions, as well as the development, implementation and management of applications, infrastructure and connectivity. We are one of the leading providers of digital and AI infrastructure in the world. NTT DATA is a part of NTT Group, which invests over $3.6 billion each year in R&D to help organizations and society move confidently and sustainably into the digital future. Visit us at us.nttdata.com (http://us.nttdata.com/en) **_NTT DATA endeavors to make_** **_https://us.nttdata.com_** **_accessible to any and all users. If you would like to contact us regarding the accessibility of our website or need assistance completing the application process, please contact us at_** **_https://us.nttdata.com/en/contact-us_** **_._** **_This contact information is for accommodation requests only and cannot be used to inquire about the status of applications. NTT DATA is an equal opportunity employer. Qualified applicants will receive consideration for employment without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, disability or protected veteran status. For our EEO Policy Statement, please click here (http://us.nttdata.com/en/compliance#eeos) . If you'd like more information on your EEO rights under the law, please click here (http://us.nttdata.com/en/compliance#know-your-rights) . For Pay Transparency information, please click here (http://us.nttdata.com/en/compliance#ppnp) ._**