Data Scientist (PhD in Statistics / AI)
- Tata Consultancy
- 10 - 18 years
- Bengaluru
- 2 months 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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Tata Consultancy Services is an Indian multinational information technology services and consulting company headquartered in Mumbai, Maharashtra, India with its largest campus located in Chennai, Tamil Nadu, India. As of February 2021, TCS is the largest IT services company in the world by market ca...
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