You are a strategic thinker passionate about driving solutions in  Data Science  and LLM developer. You have found the right team.

As  a Data Science  and LLM developer – Sr  Associate  in our Transformation and Analytics  , you will spend each day defining, refining and delivering set goals for our firm.

Job Responsibilities:

Implement various exploratory data  analysis techniques . Analyze for Trends and Patterns . Identify key data sources that can make business impacts.  Scope, prioritize and co-ordinate activities with the product owners. Partner with product teams to identify strategic solutions. Design and develop datamining  queries from large data sets (Both Structured and Unstructured) . Experienced in conversion of data into information. Proficient in Visualization and storytelling which can make an  impact to the business .  Employs scalable automation solutions  for faster and robust  data preparation  Transform model outputs into formats that is understandable to the end users through visualization, clear tables, and/or thoughtful presentations. Assist technical and non-technical end users in how to leverage and interpret the analysis.

Required qualifications, capabilities and skills

Self-starter, attention to details and results orientated, able to work under minimal guidance. Uses pertinent data and facts to identify and solve a range of problems within area of expertise. Having mandatory experience in Statistics  along with  Exploratory and regression data analysis Strong proficiency in LLM,  concept of vectorization/ vector stores, database optimization, performance tuning, agentic AI LLM, RAG based  agents. Proficient in building evaluation metrics..  Experience with LLM and other related frameworks like Langchain, LLamaIndex, AutoGen, ReAct , GPT and  Claude  models,  Experience in  model development using Machine Learning techniques [Data Analysis /Model Tuning]. Preferred data querying  skills on  SQL (Snowflake, Databricks) and , Python (packages and libraries like Scikit   , Kera’s,  Pandas, PySpark/PySQL) Bachelor’s Degree in, Data science, Computer Science, or Engineering.  Different field of study, with significant professional experience in AI oriented Analytics and BI development, is acceptable.  Experience Required: 8+ years in Data related projects and 3+ years in Data Science/AI Good communication and analytical skills

Preferred qualifications, capabilities and skills

Exposure for  complex ETL development is an added advantage. Knowledge on CI/CD pipelines.