Job Description:

We are looking for a highly analytical and motivated Data Scientist to join our team. The ideal candidate should have strong expertise in Python, SQL, Machine Learning, Statistical Analysis, and Data Visualization, with the ability to transform complex datasets into actionable business insights. The candidate will work on predictive modeling, business intelligence solutions, NLP applications, and dashboard development to support data-driven decision-making.

Key Responsibilities
Develop, train, and evaluate Machine Learning models for prediction, classification, and clustering use cases.
Perform data extraction, transformation, and analysis using Python, SQL, and statistical techniques.
Build interactive dashboards and reports using Power BI, DAX, and Excel.
Conduct exploratory data analysis (EDA) and generate business insights from structured and unstructured datasets.
Work with large datasets from APIs, databases, and cloud platforms such as Big Query.
Collaborate with business and technical stakeholders to understand requirements and deliver analytical solutions.
Develop NLP-based solutions using transformer models and up-to-date AI frameworks.
Create data storytelling presentations and visualizations for business users.




Document methodologies, findings, and recommendations for stakeholders.
Support research, experimentation, and deployment of AI/ML solutions.
Required Skills
Technical Skills
Python, SQL, R
Machine Learning using Scikit-learn, Tensor Flow, and PyTorch
Data Analysis using Pandas, Num Py, Sci Py, and Statsmodels
Data Visualization using Power BI (DAX, Power Query), Tableau, and Excel
Database Management: SQL Server, MySQL, MongoDB, SQLite
NLP and Transformer Models (Hugging Face, GPT-based models)
Streamlit Application Development
Git Hub and Version Control
Analytical Skills
Statistical Modeling
Predictive Analytics
Feature Engineering
Data Storytelling
Business Insight Generation
Problem Solving
Preferred Qualifications
MCA / Master's in Computer Applications or related discipline.
Exposure to end-to-end ML project development and deployment.
Experience building dashboards and reporting automation solutions.
Knowledge of NLP, Generative AI, and Explainable AI (SHAP) is an advantage.
Research publication experience is desirable.
Experience Level

0-2 Years

📌 Consultant (India)
🏢 Trigyn Technologies
📍 India