Tata Consultancy Services · 9 hours ago
Data Scientist
Tata Consultancy Services is seeking an Entry Level Data Scientist Trainee to collaborate with senior data scientists and AI engineers in designing and implementing advanced analytics and AI-driven solutions. The role involves hands-on exposure to machine learning, deep learning, and generative AI, focusing on transforming complex data into intelligent insights and innovative applications.
Responsibilities
Data Preparation for AI Models: Collect, clean, and preprocess structured and unstructured data for training and evaluation of AI models
Model Development & Fine-Tuning: Assist in building and fine-tuning machine learning and deep learning models, including LLMs and generative AI architectures
Prompt Engineering & Optimization: Experiment with prompt design and optimization techniques to improve GenAI outputs for business use cases
AI-Powered Analytics: Apply AI algorithms for predictive analytics, personalization, and recommendation systems
Prototype Development: Support the creation of AI-driven prototypes and proof-of-concepts for automation and customer experience enhancement
Visualization & Communication: Develop dashboards and visualizations to present AI-driven insights to stakeholders
Research & Innovation: Stay updated on emerging AI trends, frameworks, and tools and contribute ideas for innovative applications
Qualification
Required
Master's degree in Data Science, Computer Science, AI/ML, Statistics, or a closely related field
Coursework or thesis/projects in machine learning, deep learning, NLP/LLMs, probability & statistics, and optimization
Proficiency in Python (pandas, NumPy, scikit-learn); familiarity with SQL for data extraction and transformation
Hands-on exposure to PyTorch or TensorFlow; ability to build and train neural networks (CNNs/RNNs/Transformers)
Understanding of tokenization, embeddings, attention mechanisms; experience using Hugging Face ecosystems and prompt engineering for LLMs
Basic experience with text generation, image generation, or multimodal models; awareness of techniques like fine-tuning, LoRA/PEFT, and RAG (Retrieval-Augmented Generation)
Exposure to model versioning, experiment tracking (e.g., MLflow), and deployment concepts (batch/real-time APIs); understanding of evaluation and monitoring for AI systems
Familiarity with at least one major cloud platform (Azure, AWS, or GCP) for data/AI services; working knowledge of data pipelines and feature engineering
Strong foundations in probability, statistical inference, hypothesis testing, and A/B testing
Ability to conduct exploratory data analysis (EDA) and communicate findings clearly with visualizations (e.g., matplotlib, seaborn, Plotly/Power BI/Tableau)
Awareness of AI fairness, bias, privacy, and responsible AI practices
Familiarity with model evaluation metrics for classification/regression and LLM-specific metrics (quality, hallucination checks, factuality)
Curiosity and learning mindset: eagerness to explore new AI frameworks and stay current with advancements
Collaboration & communication: ability to translate technical insights for non-technical stakeholders
Problem-solving: structured approach to framing problems, building prototypes, and iterating quickly
Preferred
Internship or academic project experience applying LLMs/GenAI to real use cases (e.g., RAG chatbot, summarization, recommendations)
Contributions to open-source (e.g., Hugging Face, PyTorch) or a personal portfolio (GitHub/Kaggle)
Certifications (e.g., Azure AI Engineer Associate, AWS Machine Learning Specialty, Google Professional ML Engineer) or Databricks Lakehouse badges
Benefits
Benefits
Company
Tata Consultancy Services
Tata Consultancy Services is a business solutions company that specializes on information technology services and consulting.
H1B Sponsorship
Tata Consultancy Services has a track record of offering H1B sponsorships. Please note that this does not
guarantee sponsorship for this specific role. Below presents additional info for your
reference. (Data Powered by US Department of Labor)
Distribution of Different Job Fields Receiving Sponsorship
Represents job field similar to this job
Trends of Total Sponsorships
2025 (7880)
2024 (9690)
2023 (8537)
2022 (11159)
2021 (9813)
2020 (11984)
Funding
Current Stage
Public CompanyTotal Funding
unknown2004-08-25IPO
Leadership Team
Recent News
Hindu Business Line
2026-01-13
Business Standard India
2026-01-13
Hindu Business Line
2026-01-13
Company data provided by crunchbase