Data Scientist (PhD in Statistics / AI)

TCS Virtual Drive - Data Scientist (PhD)

Greetings from Tata Consultancy Services !!!

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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