Job Description
Key Responsibilities

- Develop and maintain machine learning models and forecasting solutions.

- Perform data cleaning, preprocessing, and feature engineering.

- Build and optimize data pipelines using Python and SQL.

- Analyze large datasets to identify trends and business insights.

- Support model deployment, testing, and performance monitoring.

- Create dashboards, reports, and data visualizations.

- Assist in developing automated prediction and retraining workflows.

- Collaborate with cross-functional teams on analytics projects.

- Document model development activities and technical processes.

- Stay updated with emerging trends in Data Science and AI.

RequirementsRequirements

- 1-3 years of experience in Data Science, Machine Learning, or Analytics.

- Strong proficiency in Python and SQL.

- Good understanding of Machine Learning, Forecasting, Regression, Classification, and Clustering.

- Experience with data analysis, feature engineering, and model development.

- Exposure to Azure Cloud, Azure ML, Snowflake, or similar platforms.

- Familiarity with Git, version control, and ML deployment concepts.

- Strong analytical, problem-solving, and communication skills.

- Bachelor's or Master's degree in Computer Science, Data Science, Statistics, Mathematics, Engineering, or related field.

Preferred Skills

- Azure Machine Learning.

- Power BI or Tableau.

- Time Series Forecasting.

- MLOps fundamentals.

- Internship/project experience in AI/ML.

- Experience working with cloud-based data platforms.

BenefitsBenefits & Perks
Financial Benefits





- Provident Fund (PF)

- Competitive Salary Package

- Annual Performance Reviews

- Leave Encashment Benefits

Health & Insurance

- Medical Insurance Coverage

- Insurance for Employee & Family Dependents

Work-Life Balance

- 5-Days Working Week

- Hybrid Working Model

- Paid Annual Leave

- Sick Leave & Casual Leave

- Company Holidays

Family Benefits

- Maternity Leave

- Paternity Leave

Learning & Career Growth

- Mentorship from Senior Data Scientists

- Exposure to Global Projects

- Continuous Learning Opportunities

- Career Growth Path in Data & AI

Culture & Engagement

- Friendly & Inclusive Work Setting

- Collaborative Team Culture

- Employee Engagement Programs

- Team Outings & Celebrations

- Recognition & Rewards

Requirements
Requirements 1-3 years of experience in Data Science, Machine Learning, or Analytics. Strong proficiency in Python and SQL. Good understanding of Machine Learning, Forecasting, Regression, Classification, and Clustering. Experience with data analysis, feature engineering, and model development. Exposure to Azure Cloud, Azure ML, Snowflake, or similar platforms. Familiarity with Git, version control, and ML deployment concepts. Strong analytical, problem-solving, and communication skills. Bachelor's or Master's degree in Computer Science, Data Science, Statistics, Mathematics, Engineering, or related field. Preferred Skills Azure Machine Learning. Power BI or Tableau. Time Series Forecasting. MLOps fundamentals. Internship/project experience in AI/ML. Experience working with cloud-based data platforms.

📌 Junior Data Scientist (India)
🏢 BI3 Technologies
📍 India