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 MIS and Platforms team , 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 story telling 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, embedding, concept of vectorization/ vector stores, database optimization, performance tuning,and relevant query languages. Familiarity with embedding, retrieval algorithms, RAG based  agents, data modelling for vector development graphs.  Experience with LLM and other related frameworks like Langchain, LLamaIndex,AutoGen, ReAct  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 Analytics and BI development, is acceptable.  Experience Required: Minimum 8 years in Data related projects and minimum 3 years in Data Science Good communication and analytical skills

Preferred qualifications, capabilities and skills

SSIS/Alteryx  exposure for complex ETL development is an added advantage..