Senior Data Scientist

Jobtailor; Dadri; On-site; INR 1,500,000 - 2,500,000; Full time

Job summary

EXL is seeking a data science professional with 5+ years of hands-on ML experience and deep NLP knowledge. You will develop and refine NLP models, design RAG pipelines, and optimize embeddings, indexing, and prompts for evaluation.

You should be proficient in Python and ML frameworks, with exposure to SQL Server, Spark, and cloud platforms (Azure/AWS/Databricks). Excellent communication and collaborative skills are essential in a fast-paced environment.

Qualifications

• Quantitative degree or equivalent experience in data science.
• 5+ years building hands-on ML models.
• Understand NLP evolution and model fine-tuning.
• Knowledge of advanced RAG pipelines and embeddings.
• Proficient in Python and AI/ML libraries.
• Familiar with SQL Server and Spark is a plus.
• Know ML, DL, and NLP techniques and algorithms.
• Experience with NLP and text analytics for information extraction.
• Excellent communication and problem-solving; thrives in fast pace.
• Experience with cloud platforms like Azure, AWS, Databricks preferred.

Skills

Data science expertise

NLP knowledge

Python programming

Problem solving

Strong communication

Experience with ML models

Education

Bachelor's or Master's degree in quantitative field (CS, ML, math, stats)

Tools

Python

NumPy

Pandas

Scikit-learn

Jupyter

SQL Server

Spark

Azure

AWS

Databricks

Job description

Required Skills and Experience

• Bachelor's or Master's degree in a quantitative field (CS, machine learning, mathematics, statistics) or equivalent experience.
• 5+ years of experience in data science, building hands‑on ML models.
• Candidate must be aware of entire evolution history of NLP (Traditional Language Models to Modern Large Language Models), training data creation, training set‑up and finetuning.
• Knowledge of advanced RAG pipelines with proper embeddings, indexing, chunking, reranking, prompts and evaluation.
• Excellent programming skills in Python. Strong working knowledge of Python's numerical, data analysis, or AI frameworks such as NumPy, Pandas, Scikit-learn, Jupyter, etc.
• SQL skills with SQL Server and Spark experience is preferred but not necessary.
• Knowledge of predictive/prescriptive analytics including Machine Learning algorithms (Supervised and Unsupervised) and deep learning algorithms and Artificial Neural Networks.
• Experience with Natural Language Processing (NLTK) and text analytics for information extraction, parsing and topic modeling.
• Excellent verbal and written communication. Strong troubleshooting and problem-solving skills. Thrive in a fast‑paced, innovative environment.
• Experience with cloud platforms such as Azure, AWS, Databricks is preferred.