Data Scientist
EXL · Bengaluru, Karnataka, India
Business Consulting and Services · 10,001+ employees
4 h ago
Closes in 4d
Senior (5-10 yrs)
Full-time
India
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About the role
The role involves leading data analysis projects, designing complex machine learning models, and providing strategic insights to business leaders. You will also be responsible for mentoring junior data scientists and ensuring the high quality of analytical deliverables.
What they look for
Python
Machine Learning
NLP
Large Language Models
RAG pipelines
SQL
Spark
NumPy
Pandas
Scikit-learn
Deep learning
Artificial Neural Networks
NLTK
Text analytics
Azure
AWS
Requirements
Candidates must have a bachelor's or master's degree in a quantitative field and 5-8 years of experience in data science. Proficiency in Python, NLP, RAG pipelines, and machine learning frameworks is required, along with strong problem-solving and communication skills.
Full 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 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
