Senior Data Analyst
First seen by Alion on Aug 27, 2026.
Key Responsibilities :
- Analyze large volumes of structured and unstructured data to derive actionable insights.
- Design, develop, and optimize Python scripts for data extraction, cleaning, transformation, and analysis of regional data.
- Prepare, preprocess, and annotate datasets for NLP and machine learning applications.
Train, fine-tune, and evaluate NLP models, including :
- Named Entity Recognition (NER)
- Transliteration models
- Text classification
- Name Matching
- Perform pattern identification and data mining to uncover trends, anomalies, and business insights.
- Develop data quality frameworks and implement validation processes to improve model performance.
Calculate and monitor model evaluation metrics, including :
- Accuracy, Precision, Recall, F1-Score
- Collaborate with AI/ML teams to integrate AI agents and automate business workflows.
- Support prompt engineering, testing, and validation of AI-powered applications.
- Work with cross-functional teams to understand business requirements and translate them into analytical solutions.
- Document methodologies, workflows, datasets, and model performance reports.
- Continuously improve data processing pipelines and contribute to AI solution enhancements.
Required Skills & Qualifications :
- Bachelor's or Master's degree in Computer Science, Data Science, Artificial Intelligence, Statistics, or a related field.
- Strong proficiency in Python for data analysis and automation.
Hands-on experience with NLP libraries and frameworks such as :
- spaCy, NLTK, Hugging Face Transformers, Sentence Transformers
- Experience training and evaluating NLP models.
- Strong understanding of unstructured data processing techniques.
- Experience in feature engineering, data preprocessing, and text normalization.
- Good understanding of machine learning model evaluation metrics, including Accuracy, Precision, Recall, F1-Score, and Confusion Matrix.
- Strong Experience with SQL and data manipulation libraries i.e. Pandas and NumPy.
- Familiarity with REST APIs and AI agent integration frameworks ie. VertexAI / OpenAI
- Strong analytical, problem-solving, and debugging skills.
- Excellent communication and documentation abilities.
- Mentoring to junior team members.
Preferred Skills :
- Experience with Large Language Models (LLMs) and Generative AI.
- Knowledge of Retrieval-Augmented Generation (RAG) architectures.
- Experience with vector databases and embeddings.
- Familiarity with LangChain, LlamaIndex, or similar AI orchestration frameworks.
- Experience with cloud platforms such as AWS, Azure, or Google Cloud.
- Knowledge of MLOps concepts and model deployment pipelines.
- Experience working with multilingual datasets.
- Problem-solving mindset, Data-driven decision making, Team collaboration, Ownership
and accountability
Experience
- 3-6 years of relevant experience in Data Analytics, NLP, AI, or Machine Learning.
Skills
Python, SQL, Pandas, Numpy, REST API, Data Analytics, Data Analyst, LLM, Machine Learning