Senior Data Scientist
EXL · Bengaluru, Karnataka, India
Business Consulting and Services · 10,001+ employees
6 h ago
Senior (5-10 yrs)
Full-time
India
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About the role
Lead data analysis projects and design complex machine learning models to provide strategic business insights. Collaborate with business leaders to understand requirements and mentor junior data scientists to ensure high-quality analytical output.
What they look for
Python
Machine Learning
Natural Language Processing
Large Language Models
RAG Pipelines
SQL
Spark
Deep Learning
Artificial Neural Networks
NumPy
Pandas
Scikit-learn
Jupyter
Azure
AWS
Databricks
Requirements
Requires a Bachelor's or Master's degree in a quantitative field and 5-9 years of experience in data science and ML model development. Candidates must possess deep expertise in NLP, RAG pipelines, Python, and cloud platforms like AWS or Azure.
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
