About this role
min 8 years of relevant experience in data science. Identifying and resolving business problems (around client experience and operations) preferably in the financial services industry Utilizing text data to derive business value by leveraging different NLP (mid to expert level prior experience is a must) and LLM. Leveraging and developing analytical tools and methods to identify patterns, trends and outliers in data Applying ML, DL and Gen AI techniques like RAG, prompt Engineering, fine tuning for a wide range of business problems Working with data from different sources, with different complexities, both structured and unstructured Have worked on Python and SQL extensively Prior working experience in Customer experience domain (Analysis involving deep dive into CSAT, NPS, Survey feedbacks etc.) Have worked on developing Agentic AI solution Masters (preferred) in Engineering, Technology, Statistics, Economics or similar quantitative disciplines Strong logical reasoning and problem-solving ability Proficient in converting business problems into analytical tasks, and analytical findings into business insights Proficient in formulating analytical methodology, identifying trends and patterns with data Has the ability to work hands-on to retrieve and manipulate data from big data environments Tools and Platforms: Expert knowledge in Python, SQL, PySpark and related tools Proficient in MS Excel, PowerPoint This job description provides a high-level review of the types of work performed. Other job-related duties may be assigned as required. ------------------------------------------------------ Job Family Group: Decision Management ------------------------------------------------------ Job Family: Specialized Analytics (Data Science/Computational Statistics) ------------------------------------------------------ Time Type: Full time ------------------------------------------------------ ------------------------------------------------------ For complementary skills, please see above and/or contact the recruiter. ------------------------------------------------------