Brainwonders is India's leading career counselling and brain mapping company, helping individuals discover their true potential through DMIT (Dermatoglyphics Multiple Intelligence Test), psychometric assessments, and career guidance. Join us in empowering the future of education and career decision-making.
Key highlights!
Have a U.S Patent for DMIT (genetic intelligence report)
108 Branches across the country
Successfully counselled over 1.2 million students
Connected to 2000+ schools pan India
Data Scientist (Fresher - 1 Year Experience) --
About the Role
We are looking for a
junior Data Scientist
who is passionate about Machine Learning, AI, LLMs, analytics, and data engineering. The ideal candidate should have hands-on project experience (internships, academic projects, or personal projects) and the ability to learn quickly and contribute to production-level workflows.
This is a great opportunity for someone early in their career who wants to work on
ML models, data pipelines, AI automation, and dashboards
.
Responsibilities
Machine Learning & AI
Assist in building and training
ML models
(Regression, Random Forest, XGBoost, NLP models).
Support development of
LLM fine-tuning workflows
with guidance.
Work on
AI automation projects
and basic AI agent tasks.
Help in model evaluation, testing, and performance documentation.
Data Engineering & Pipelines
Support data ingestion, preprocessing, and cleaning tasks.
Help build and maintain
ETL pipelines
for structured/unstructured data.
Work with senior team members on
MLOps tasks
using Git, Docker, MLFlow, etc.
Business Dashboards & Analytics
Create dashboards and reports using
Power BI or Tableau
.
Assist teams with data extraction, SQL queries, and trend analysis.
Convert raw data into actionable insights.
Cloud & Deployment
Learn and contribute to ML/AI deployments on
AWS or GCP
.
Work with tools like
S3, EC2, Lambda, BigQuery, GKE
under supervision.
Document deployment processes and improve automation scripts.
Collaboration & Learning
Work closely with senior engineers and product teams.
Participate in brainstorming, design discussions, and code reviews.
Continuously learn new ML and AI technologies.
Required Skills
Programming & ML
Python (strong understanding)
Knowledge of ML algorithms (Regression, XGBoost, Random Forest, NLP, basic DL)
Understanding of CNN/RNN is a plus
Basic statistics and data visualization concepts
Tools
Jupyter/Colab
Git & Linux basics
MLFlow (basic knowledge or willingness to learn)
Tableau / Power BI
Databases
SQL (MySQL preferred)
Basic knowledge of MongoDB
Cloud
Exposure to AWS or GCP
Basic understanding of APIs and deployments is a plus
Bonus (Not mandatory, but a strong plus)
Exposure to
LLM fine-tuning
Experience with
AI agents / automation tools
Internship projects with real-world data
Small personal ML/AI projects on GitHub
Qualifications
Qualifications
Bachelor's degree in Computer Science, Engineering, IT / Computer.
0-1 year of industry experience OR good quality internship(s).
Strong project/portfolio work in ML/AI.
Additional Information
Looking for a junior candidate with strong Python & ML fundamentals, interest in LLMs, ML pipelines, dashboards (Tableau/Power BI), SQL & AWS/GCP exposure.
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