Data Scientist

Data Scientist – Traditional Machine Learning

Experience Criteria:

• Non-Tier Institutes: 5+ Years
• Tier 1 & Tier 2 Institutes with Master's Degree: 3+ Years

Location: Gurgaon / Bangalore

Key Responsibilities

• Build and deploy machine learning models for classification, regression, forecasting, and risk analytics
• Work on supervised and unsupervised ML techniques
• Develop models using:
• Linear & Logistic Regression
• SVM
• Random Forest
• XGBoost
• LightGBM
• Perform feature engineering, model tuning, validation, and performance optimization
• Analyze structured and large-scale datasets to generate business insights
• Collaborate with business stakeholders and translate requirements into ML solutions
• Drive end-to-end model lifecycle including deployment and monitoring

Required Skills

• Strong hands-on experience in Python and SQL
• Expertise in Scikit-learn, XGBoost, LightGBM, Pandas, NumPy
• Good understanding of statistics, probability, and ML algorithms
• Experience with model evaluation metrics and cross-validation techniques
• Strong data manipulation and analytical problem-solving skills
• Knowledge of cloud platforms (AWS/Azure/GCP) is a plus

Preferred Domain Experience

• Banking
• Financial Services
• Insurance Analytics
• Risk & Fraud Analytics
• Customer Analytics

Education

• B.Tech / BE / MCA / Master's in Computer Science, Statistics, Mathematics, Data Science, or related quantitative fields

Nice to Have

• Exposure to NLP or GenAI use cases
• Experience in model deployment/MLOps
• Understanding of scalable ML pipelines