Data Scientist

Role Overview

Join our team as a Data Scientist to extract, transform, and analyze large-scale structured and unstructured datasets using Python, SQL, and cloud-based technologies. Perform exploratory data analysis, data preprocessing, feature engineering, and model development to address business challenges.

What You Will Do

Develop, evaluate, optimize, and deploy machine learning models, including predictive, classification, and forecasting solutions. Build and maintain scalable data and machine learning pipelines for production environments.

Why It Might Be a Fit

Collaborate with cross-functional teams to deliver impactful solutions. Translate analytical findings and model outputs into actionable business recommendations.

Requirements

• Bachelor’s or Master’s degree in Data Science, Computer Science, Statistics, Mathematics, Engineering, or a related quantitative field
• Strong programming skills in Python and SQL
• Hands-on experience with data science and machine learning libraries such as Pandas, NumPy, Scikit-learn, XGBoost, TensorFlow/Keras, PyTorch, or similar
• Solid understanding of Machine Learning algorithms, statistics, feature engineering, model evaluation, and experimentation methodologies
• Experience working with time-series forecasting, predictive analytics, classification models, and imbalanced datasets
• Familiarity with data processing frameworks such as Spark or PySpark
• Understanding of MLOps concepts, CI/CD pipelines, Git, APIs, and model deployment practices
• Experience working with cloud platforms such as AWS, GCP, or Azure
• Knowledge of Generative AI concepts, including LLMs, RAG architectures, embeddings, prompt engineering, and AI agents

Benefits

• Performance-based annual bonus
• Performance rewards and recognition
• Agile Benefits – special allowances for Health, Wellness & Academic purposes
• Paid birthday leave
• Team engagement allowance
• Comprehensive Health & Life Insurance Cover – extendable to parents and in-laws