Key Responsibilities

- Collect, clean, and preprocess structured and unstructured data.
- Analyze large datasets to identify trends, patterns, and business opportunities.
- Develop and deploy machine learning and predictive analytics models.
- Perform statistical analysis and hypothesis testing.
- Build recommendation systems, forecasting models, and classification/regression models.
- Develop dashboards and visualizations to communicate insights.
- Work with engineering teams to deploy models into production.
- Optimize model performance through feature engineering and hyperparameter tuning.
- Collaborate with stakeholders to understand business requirements and translate them into data solutions.
- Document methodologies, experiments, and model performance.
- Stay updated with advancements in AI, machine learning, and data science technologies.

Required Skills

- Python
- R (Preferred)
- SQL
- Machine Learning
- Deep Learning




- Statistics & Probability
- Data Analysis
- Data Visualization
- Predictive Modeling
- Feature Engineering
- Natural Language Processing (NLP)
- Computer Vision (Preferred)
- Generative AI & LLMs (Preferred)
- TensorFlow
- PyTorch
- Scikit-learn
- Pandas
- NumPy
- Matplotlib / Power BI / Tableau
- Git
- Cloud Platforms (AWS, Azure, GCP)
- Problem Solving
- Communication Skills

Preferred Experience

- Experience with Python-based machine learning frameworks.
- Knowledge of big data technologies such as Spark, Hadoop, or Databricks.
- Experience deploying ML models using Docker, Kubernetes, or MLOps tools.
- Familiarity with cloud-based AI/ML services.
- Experience with LLMs, prompt engineering, RAG, vector databases, or AI agents is an advantage.

📌 Data Scientist (Nagercoil)
🏢 PANACORP SOFTWARE SOLUTIONS
📍 Nagercoil