Lead Data Scientist

• *Competencies**

Experience Requirements

8 to 12 years of experience in Data Science and Machine Learning

Proven expertise in solving real\-world business problems using AI/ML techniques

Mandatory hands\-on experience in deploying ML/AI models into production environments

Experience leading enterprise\-scale AI initiatives and mentoring technical teams

• *Key Responsibilities**

Key Responsibilities

Partner with business stakeholders to understand business challenges and translate them into scalable Machine Learning and AI solutions.

Design, build, deploy, and optimize end\-to\-end machine learning and Generative AI applications in production environments.

Develop and implement NLP, LLM, and RAG\-based solutions for enterprise use cases.

Coordinate with business teams to monitor outcomes, evaluate model performance, and continuously refine ML models.

Work across supervised, unsupervised, reinforcement learning, and deep learning techniques to deliver optimal solutions.

Lead the development of scalable AI frameworks and reusable components leveraging APIs and cloud platforms.

Collaborate with Data Engineering and Software Engineering teams to ensure scalable and reliable ML model deployments.

Own and drive code review processes while enforcing coding standards, documentation, and quality assurance best practices.

Mentor and guide Data Scientists and ML Engineers in selecting appropriate algorithms, frameworks, and modelling techniques.

Lead data mining, feature engineering, data preparation, and data quality initiatives across business use cases.

Build enterprise\-grade AI/ML pipelines using cloud\-native technologies and MLOps practices.

Develop insightful dashboards and visualizations using Tableau, ELK, or similar tools for business stakeholders.

Present technical concepts and AI\-driven recommendations to both technical and non\-technical audiences.

Stay updated with advancements in AI, Generative AI, LLMs, and emerging open\-source technologies.

Ensure adherence to version control, governance, security, and documentation standards using Git/GitHub.

• *Must Have Skills**

Required Skills

Mandatory Technical Skills

Strong expertise in Python for Data Science

Experience with R Programming for Data Science

Strong foundation in Statistics and Probabilistic Modelling

Hands\-on experience in deploying Machine Learning models into production environments

Deep understanding of

Machine Learning Algorithms

NLP (Natural Language Processing)

Large Language Models (LLMs)

Generative AI

RAG (Retrieval\-Augmented Generation)

Experience with supervised, unsupervised, reinforcement, and deep learning techniques

Expertise in data wrangling, cleansing, feature engineering, and dimensionality reduction

Strong knowledge of vector algebra, statistical modelling, and probability theory

Experience with exploratory data analysis (EDA) and hypothesis testing

Hands\-on experience with

PyTorch

TensorFlow

Scikit\-Learn

Pandas

Spark ML

Experience with cloud ML platforms such as

Amazon SageMaker

Azure ML Studio

Familiarity with vector databases and AI orchestration frameworks

Strong understanding of APIs, microservices, and scalable AI architecture

Knowledge of Git, GitHub, Markdown, CI/CD pipelines, and MLOps best practices

• *Good to Have Skills**

Preferred Skills

Experience with chatbot and conversational AI platforms

Exposure to LangChain, LlamaIndex, Semantic Kernel, or equivalent frameworks

Experience with Docker and Kubernetes

Familiarity with SQL and NoSQL databases such as

MySQL

Oracle

SQL Server

MongoDB

Experience with data visualization tools such as Tableau, Power BI, ELK Stack

Understanding of distributed computing and big data ecosystems

Experience in cloud\-native AI deployments and scalable infrastructure

• *Company Overview**

LTIMindtree is a leading global technology consulting and digital\-engineering company created through the merger of LTI and Mindtree. With more than 80,000 employees operating across 40\+ countries, the company delivers end\-to\-end services in cloud, AI, data, cybersecurity, ERP, and digital transformation. LTIMindtree works with some of the world’s largest enterprises across BFSI, tech, manufacturing, retail, and media. The organisation promotes innovation, learning, and internal mobility, offering employees exposure to complex global projects. For candidates seeking stability, scale, and fast growth in a modern technology environment, LTIMindtree is an excellent career destination.

Pay: ₹2,000,000\.00 \- ₹3,600,000\.00 per year

Work Location: In person