Data Scientist (PhD in Statistics / AI)
- Tata Consultancy
- 10 - 18 years
- Bengaluru
- 2 days ago
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Job Description
TCS Virtual Drive - Data Scientist (PhD)
Greetings from Tata Consultancy Services !!!
TCS is hiring for Data Scientist (PhD)
Experience : 10 - 18yrs
Location: Pan India
Required Skills:
10+ years of experience (5+ years in AI/Gen AI/Data Science is must).
Locations: PAN India, preferably Pune, Chennai, Hyderabad, Kolkata, NCR, Mumbai
Required Skills:
10+ years of experience (5+ years in AI/Gen AI/Data Science is must).
Locations: PAN India, preferably Pune, Chennai, Hyderabad, Kolkata, NCR, Mumbai
Key Responsibilities:
- Design, develop, and deploy state-of-the-art ML and Generative AI models (e.g., LLMs, Transformers, Diffusion Models).
- Conduct applied research in areas such as NLP, time-series, reinforcement learning, computer vision, or multimodal learning.
- Collaborate with cross-functional teams including sales team, data engineers, agentic AI, Hyperscalers, MLOps, and product managers to build scalable solutions.
- Contribute to and lead open-source initiatives and internal AI research related methods and different cutting-edge ML methodologies.
- Prototype and evaluate algorithms with large-scale datasets.
- Publish articles/blogs in internal and external forums (optional but encouraged).
- Mentor junior researchers or data scientists.
Required Qualifications & Experience:
- PhD in Machine Learning, Computer Science, Applied Mathematics, Statistics, Data Science, or a related field.
- Strong foundation in ML/AI algorithms, probabilistic modeling, deep learning, and optimization.
- 3+ years of experience (post-PhD or during PhD/postdoc) developing production-grade ML/applied mathematics/Statistics/relevant field.
- Proven experience with ML techniques like ANN, Non-Linear Regression, Stochastic process, Genetic Algorithm, advanced clustering, GB, RF, and Generative AI models: LLMs, GANs, VAEs, Diffusion, or Prompt Engineering.
- Experience with large-scale datasets, merging, cleaning, feature selection, distributed training, and model optimization.
Technical Skills:
- Programming: Expert in Python (NumPy, pandas, scikit-learn, PyTorch, TensorFlow, Hugging Face, etc.)
- Frameworks & Tools: Experience with MLFlow, Ray, Docker, Git, FastAPI, Streamlit/Gradio
- Cloud Platforms: Familiarity with AWS, GCP, or Azure ML services
- MLOps: Understanding of CI/CD pipelines, model versioning, deployment (optional but preferred)
- Strong skills in data wrangling, feature engineering, and experimentation
Preferred (Nice-to-Have):
- Publications in top ML/AI conferences (NeurIPS, ICML, CVPR, ACL, etc.)
- Contributions to open-source AI/ML libraries
- Experience in building domain-specific LLMs or fine-tuning foundation models
- Familiarity with prompt engineering, RAG architectures, or LLMOps pipelines
- Experience with time-series forecasting, anomaly detection, or graph neural networks
Educational Background:
- Ph.D. in one of the following (or closely related) fields:
- Machine Learning / Artificial Intelligence
- Computer Science / Engineering
- Applied Statistics / Mathematics
- Data Science / Analytics
Job Classification
Industry: IT Services & ConsultingFunctional Area / Department: Data Science & AnalyticsRole Category: Data Science & Machine LearningRole: Data ScientistEmployement Type: Full timeContact Details:
Company: Tata ConsultancyLocation(s): Bengaluru
Keyskills: Pytorch Tensorflow Natural Language Processing Deep Learning Python Artificial Intelligence Aiml Machine Learning
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