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Salary
≈ $27k – $47k per year (Estimated)
Location
In office (Hyderabad)
Seniority
Staff · 8+ years exp

First seen by Alion on Sep 24, 2026.

Overview
Company
Impact
Profile match
Amnet Digital builds the AI enterprise: Amnet Data Foundry, Amnet Agent Foundry and AIDLC — trusted data, intelligent agents, and engineered AI delivery.

Senior / Lead Data Scientist :

We are looking for an experienced Senior / Lead Data Scientist with 8 - 12 years of experience in data science, machine learning, statistical modelling, and AI. The candidate will be responsible for solving complex business problems using data-driven approaches, developing scalable machine learning solutions, and providing technical leadership to data science initiatives.

Key Responsibilities :

- Lead end-to-end data science projects, from problem definition and data exploration to model development, deployment, and monitoring.

- Develop and implement advanced machine learning and statistical models for prediction, classification, recommendation, forecasting, optimization, and anomaly detection.

- Work with large and complex datasets to identify trends, patterns, and actionable business insights.

- Design experiments, conduct hypothesis testing, and evaluate model performance using appropriate statistical methodologies.

- Develop scalable ML solutions using Python and modern data science frameworks.

- Good knowledge on Deep learning, NLP techniques where appropriate.

- Understand LLMs, prompt engineering, RAG, embeddings, vector databases, and fine-tuning techniques where applicable.

- Collaborate with data engineers and software engineers to build production-ready data and ML pipelines.

- Establish best practices around model validation, explainability, reproducibility, and monitoring.

- Mentor junior and mid-level data scientists and provide technical guidance on modelling approaches and project execution.

- Translate business requirements into analytical problems and communicate complex technical concepts.

Skills

Python, Machine Learning, NLP, LLM, RAG, Deep Learning, Prompt Engineering, Data Science, Data Scientist

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