What you'd actually do

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 .

Skills

Required

Statistics
Exploratory data analysis
Regression data analysis
LLM
Vectorization
Vector stores
Database optimization
Performance tuning
Agentic AI LLM
RAG
Evaluation metrics
Langchain
LLamaIndex
AutoGen
ReAct
GPT
Claude models
Machine Learning techniques
Data Analysis
Model Tuning
SQL
Python
Scikit
Keras
Pandas
PySpark
PySQL
Data querying
Visualization
Storytelling
Automation solutions for data preparation
Communication skills
Analytical skills

Nice to have

Complex ETL development
CI/CD pipelines

What the JD emphasized

mandatory experience in Statistics

Strong proficiency in LLM

concept of vectorization/ vector stores

database optimization

performance tuning

agentic AI LLM

RAG based agents

building evaluation metrics

LLM and other related frameworks like Langchain, LLamaIndex, AutoGen, ReAct , GPT and Claude models

model development using Machine Learning techniques

Data Analysis

Model Tuning

data querying skills on SQL

Python (packages and libraries like Scikit , Kera’s, Pandas, PySpark/PySQL)

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 –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 Analytics and BI development, is acceptable.
Experience Required: 4+ years in Data related projects and 2+ 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.