Data Scientist

Job ID

73242

Category

Enterprise Technology

Location

Chennai, India

Work Type

On\-site

You will design, develop, and deploy **end‑to‑end analytics, machine learning, and GenAI solutions**, working with large‑scale structured and unstructured data. The role balances **classical ML and statistical modeling** with **modern LLM‑based architectures**, ensuring both approaches are applied where they create the most value.

• Translate business objectives into well‑defined analytical and mathematical problem statements
• Design, implement, train, tune, validate, and monitor predictive and prescriptive models
• Apply machine learning techniques such as regression, classification, clustering, ensemble methods, deep learning, and time‑series analysis
• Analyze large, high‑dimensional datasets to identify patterns, drivers, anomalies, and trends
• Develop scalable analytics pipelines and reusable modelling frameworks suitable for automation and production deployment
• Design and implement **Generative AI and LLM‑based solutions**, including NLP, NLG, and semantic search
• Build and deploy **Retrieval Augmented Generation (RAG)** pipelines for enterprise knowledge and data extraction use cases
• Fine‑tune, evaluate, and monitor Large Language Models for business applications
• Apply text preprocessing, tokenization, embedding generation, prompt engineering, and LLM orchestration techniques
• Leverage modern GenAI frameworks and libraries (e.g., Transformers, LangChain‑based workflows) to build scalable AI applications.
• Build end‑to‑end system designs covering data ingestion, feature engineering, modeling, inference, and user‑facing outputs
• Partner with IT and platform teams to deploy analytics and AI solutions on cloud infrastructure
• Work with cross‑functional stakeholders to communicate insights, model results, and recommendations clearly
• Explore new data sources, tools, and technologies to continuously enhance analytics and AI capabilities
• Package findings into clear documentation, dashboards, and executive‑level presentations
• Bachelor’s or Master’s degree in Data Science, Computer Science, Engineering, Statistics, Applied Mathematics, Operations Research, or related quantitative field
• Strong hands‑on experience in **Python** for data analysis, machine learning, and AI development
• Experience with common ML and analytics libraries (e.g., NumPy, Pandas, scikit‑learn, TensorFlow, PyTorch)
• Experience with SQL and working with relational and large‑scale datasets
• Experience building analytical models and communicating insights to business stakeholders
• Master’s or Ph.D. in a quantitative or engineering discipline
• 5\+ years of experience applying machine learning, advanced analytics, and AI techniques in real‑world settings
• Strong experience with **Generative AI, LLMs, NLP, and RAG architectures**
• Experience with cloud platforms, especially **Google Cloud Platform (GCP)**, including Vertex AI, BigQuery, and related services
• Experience working with large‑scale data ecosystems (e.g., NoSQL databases, Hadoop ecosystem)
• Proficiency with version control (Git) and collaborative development practices
• Strong mathematical foundations in probability, linear algebra, optimization, and numerical methods
• Excellent problem‑solving, communication, and data storytelling skills
• Ability to work independently while collaborating effectively with cross‑functional teams

Comfortable operating in fast‑paced, ambiguous, and evolving problem spaces.