Data Scientist

Tata Consultancy Services Limited; Chennai, Bengaluru; Sur place; INR 3 000 000 - 6 000 000; Plein temps

Résumé du poste

Tata Consultancy Services Limited is seeking a Senior Data Scientist AI/ML & GenAI to lead design, development, and deployment of advanced data-driven solutions across enterprise-scale analytics and AI initiatives.

The role requires deep expertise in data profiling, model development, and practical GenAI implementation using Python, R, and modern ML frameworks. You will guide technical teams, align with governance standards, and drive innovation.

Qualifications

• 12+ years of IT experience, with 5+ years in data science, AI/ML, or advanced analytics roles.

Responsabilités

• Lead end-to-end design and implementation of data science solutions for business-critical applications, ensuring scalability, performance, and compliance.
• Conduct advanced data profiling, cleansing, and exploratory data analysis to uncover actionable insights and inform model development.
• Develop, validate, and deploy AI/ML models (including supervised, unsupervised, and deep learning) using Python, R, and modern ML frameworks (scikit-learn, TensorFlow, PyTorch).
• Design and implement Generative AI solutions (LLMs, RAG, AI agents) for enterprise use cases using OpenAI, Azure AI, or AWS SageMaker.
• Champion data governance, responsible AI, and model interpretability, ensuring ethical and regulatory compliance.
• Collaborate with cross-functional teams to gather requirements and translate business needs into technical roadmaps.
• Provide technical leadership and mentorship across data science projects, conducting design reviews and enforcing standards.
• Architect and optimize data pipelines for model training, evaluation, and deployment.”,

Connaissances

AI/ML

GenAI

Data profiling

Data analysis

Python

R

TensorFlow

PyTorch

Leadership

Mentoring

Outils

scikit-learn

TensorFlow

PyTorch

OpenAI

Azure ML

SageMaker

Description du poste

Senior Data Scientist AI/ML & GenAI

We are seeking a highly experienced Senior Data Scientist to lead the design, development, and deployment of advanced data-driven solutions leveraging cutting-edge AI/ML and Generative AI technologies. This role demands deep expertise in data profiling, data analysis, machine learning algorithms, and the practical application of GenAI models to solve complex business challenges.

You will be responsible for architecting robust data science solutions, guiding technical teams, and driving innovation across enterprise-scale analytics and AI initiatives. The role also involves collaborating with stakeholders, defining strategic data science roadmaps, and ensuring alignment with industry best practices and enterprise governance standards.

Responsibilities

• Lead the end-to-end design and implementation of data science solutions for business-critical applications, ensuring scalability, performance, and compliance.
• Conduct advanced data profiling, cleansing, and exploratory data analysis to uncover actionable insights and inform model development.
• Develop, validate, and deploy AI/ML models (including supervised, unsupervised, and deep learning algorithms) using Python, R, and modern ML frameworks (e.g., scikit-learn, TensorFlow, PyTorch).
• Design and implement Generative AI solutions (e.g., LLMs, RAG, AI agents) for enterprise use cases, leveraging platforms such as OpenAI, Azure AI, or AWS SageMaker.
• Champion data governance, responsible AI principles, and model interpretability, ensuring solutions are ethical, transparent, and compliant with regulatory standards.
• Collaborate with cross-functional teams (business, engineering, product, and leadership) to gather requirements and translate business needs into technical solutions and strategic data science roadmaps.
• Provide technical leadership and mentorship across data science projects, conducting design reviews and enforcing development standards.
• Architect and optimize data pipelines for model training, evaluation, and deployment, integrating with core business systems and cloud platforms.
• Develop and maintain documentation for data science workflows, model architectures, and integration patterns.
• Stay current with emerging trends in AI/ML, GenAI, and data engineering, acting as a subject matter expert and driving continuous innovation.

Required Qualifications

• 12+ years of overall IT experience, with 5+ years in data science, AI/ML, or advanced analytics roles.Role & responsibilities

Preferred candidate profile