Job Description

WE ARE LOOKING FOR IMMEDIATE JOINERS OR CAN JOIN WITHIN 30 DAYS FROM AI/ML BACKGROUND

Location: Kharadi, Pune, and Bangalore

Experience: 4 to 7 years

We are looking for a

Data Scientist

with strong experience in automation, data processing, and applied machine learning. This role will focus on building intelligent solutions using

Python, R, SQL,

and cloud technologies to drive automation, analytics, and sustainability-focused initiatives.

Key Responsibilities

Design, build, and maintain

data pipelines and architectures

for scalable analytics Analyze large, complex datasets to extract actionable insights Develop and deploy

machine learning models

and

LLMs

for predictive and NLP use cases Lead automation projects using

Python, SQL, Excel macros/VBA

, and APIs Implement

ETL workflows

and ensure high data quality and reliability Perform

data cleaning, preprocessing, and feature engineering

Collaborate with stakeholders to support

ESG and sustainability data

initiatives Create visualizations and dashboards using

Tableau

or

Power BI

Desired Skills & Qualifications

Proficient in

Python

and

R

for data analysis, modeling, and automation

Hands-on experience working with machine learning models, including LLMs

Strong expertise in

SQL

and

NoSQL

for data querying and management Advanced knowledge of

Excel

, including

macros and VBA scripting

Experience working with

APIs

for data integration and process automation Familiarity with

cloud platforms

(especially

AWS

, Redshift, SQL Server) Experience with

data visualization

tools like

Tableau or Power BI

Understanding of ESG metrics and experience working with sustainability data (preferred)
Job Types: Full-time, Permanent

Pay: ?2,000,000.00 - ?3,500,000.00 per year

Application Question(s):

What is your Current CTC? What is your Expected CTC? What is your Notice Period?
Experience:

Python: 3 years (Required) SQL: 4 years (Required) Tableau: 1 year (Preferred) Power BI: 1 year (Preferred) NoSQL: 4 years (Required)
Work Location: In person