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EXL

Data Scientist

EXL Karnataka, India

Business Consulting and Services · 10,001+ employees

9 h ago
data-scientist Mid (2-5 yrs) Full-time India
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About the role

Design and implement data analysis processes to derive actionable insights by building statistical and machine learning models. Collaborate with other data professionals to analyze large datasets and improve business outcomes.

What they look for

Python Machine Learning NLP Large Language Models RAG SQL Spark NumPy Pandas Scikit-learn Deep Learning Artificial Neural Networks Text Analytics Azure AWS Databricks

Requirements

Requires a Bachelor's or Master's degree in a quantitative field and 3-6 years of experience in data science. Candidates must have strong programming skills in Python and expertise in NLP, LLMs, and RAG pipelines.

Full description

Required Skills and Experience:

  • Bachelor's or Master's degree in a quantitative field (CS, machine learning, mathematics, statistics) or equivalent experience.
  • 3+ 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 Pythons 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

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