Data Scientist - Python/SQL

Job Title : Data Scientist

Location : Bangalore

Experience : 3-6 years

Employment Type : Full-time

Job Overview :

We are seeking a Data Scientist to help drive AI-driven insights and solutions, leveraging both traditional machine learning and Generative AI (GenAI). This role focuses on data exploration, predictive modeling, and extracting actionable insights from structured and unstructured data. You will work closely with business teams to translate challenges into AI-powered solutions, using advanced analytics, machine learning, and large language models (LLMs).

Key Responsibilities :

- Conduct exploratory data analysis (EDA) to uncover patterns, trends, and insights.

- Develop and implement predictive and prescriptive models to support data-driven decision-making.

- Work with large datasets and apply techniques in statistics, probability, and optimization.

- Fine-tune large language models (LLMs) for text analytics, summarization, and conversational AI.

- Leverage Generative AI for knowledge retrieval, document automation, and personalization.

- Work on A/B testing, experimentation, and causal inference to evaluate AI model effectiveness.

- Collaborate with business teams to identify AI opportunities and present insights through visualizations.

- Use vector databases, retrieval-augmented generation (RAG), and prompt engineering for GenAI applications.

- Assist AI/ML Engineers in transitioning models from research to production while ensuring interpretability and explainability.

- Stay updated on the latest ML algorithms, generative AI advancements, and statistical techniques.

Required Skills & Qualifications :

- Bachelor's/Master's/PhD in Data Science, Statistics, Mathematics, or a related field.

- Strong proficiency in Python, SQL for data analysis and modeling.

- Hands-on experience with statistical modeling, hypothesis testing, and feature engineering.

- Experience in ML frameworks (Scikit-learn, TensorFlow, PyTorch) and working with LLMs (e.g., GPT, BERT etc).

- Knowledge of time-series forecasting, clustering, and anomaly detection techniques.

- Familiarity with NLP, embeddings, and GenAI-driven analytics.

- Strong experience with data visualization tools.

- Ability to translate data insights into business impact and storytelling.

- Exposure to A/B testing, experiment design, and optimization algorithms