Data Scientist at Brainwonders

Mumbai, maharashtra, India -

Full Time

Start Date

Immediate

Expiry Date

07 Mar, 26

Salary

0.0

Posted On

07 Dec, 25

Experience

0 year(s) or above

Remote Job

Yes

Telecommute

Yes

Sponsor Visa

Skills

Python, Machine Learning, AI, Data Engineering, SQL, Power BI, Tableau, ETL, MLOps, AWS, GCP, Data Visualization, NLP, Git, Linux, Statistics

Industry

Education Administration Programs

Description

Company Description 📌 About Brainwonders 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 Job Description 🔥 Data Scientist (Fresher – 1 Year Experience) — Job Description 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.

Responsibilities

The junior Data Scientist will assist in building and training machine learning models, support data engineering tasks, and create business dashboards. They will also collaborate with senior engineers and participate in design discussions.