Junior Data Scientist

About the job

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 • 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.

Requirements

• Python
• ML algorithms
• SQL
• Power BI
• Tableau

Qualifications

• Bachelor's degree in Computer Science, Engineering, IT / Computer
• 0–1 year of industry experience OR good quality internship(s)

Preferred Technologies

• Python
• ML algorithms
• SQL
• Power BI
• Tableau