Data Scientist - Python/Machine Learning

Key Responsibilities :

• Develop, train, and deploy machine learning models to solve business problems (Classification, Regression, Anomaly Detection, Forecasting, etc.).

• Perform data preprocessing, feature engineering, and exploratory data analysis.

• Collaborate with data engineers, product managers, and domain experts to integrate models into production systems.

• Monitor, evaluate, and optimise model performance using industry best practices.

• Contribute to the design and implementation of ML pipelines and MLOps practices.

• Document models, workflows, and key decisions for reproducibility and team knowledge sharing.

• Stay updated with the latest trends in data science, machine learning, and AI.

Required Skills & Experience :

• 2+ years of hands-on experience in data science or applied machine learning roles.

• Proficiency in Statistics, and Linear Algebra is a Must.

• Proficiency in Python and common ML libraries (e.g., scikit-learn, pandas, NumPy, TensorFlow or PyTorch).

• Experience with data wrangling, statistical analysis, and model evaluation.

• Exposure to NLP, computer vision, or deep learning (at least one area).

• Familiarity with CI/CD pipelines and MLOps tools.

• Experience working with relational databases (SQL) and version control (Git, Bitbucket).

• Strong analytical and problem-solving skills.

• Shall be able to go below the hood; and tweak 'existing Code' / 'established Algorithms' to suit given Problem Statements.

• Ability to communicate technical concepts clearly to non-technical stakeholders.

• Experience working in agile or cross-functional teams.

Nice to Have :

• Experience with cloud platforms (AWS, Azure, or GCP).

• Exposure to agentic AI frameworks (LangChain, CrewAI, etc.) or LLMs.

• Knowledge of deployment and automation tools.

• Prior experience in manufacturing, automotive, or enterprise software domains.

• Certifications in Data Science, ML, or Cloud.