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Senior Data Scientist

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ADM

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Location:
India, Bengaluru

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Category:
IT - Software Development

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Contract Type:
Not provided

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Salary:

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Job Responsibility:

  • Lead end-to-end machine learning projects, from data exploration, modeling, and deployment, ensuring alignment with business objectives
  • Utilize traditional AI/data science methods (e.g., regression, classification, clustering) and advanced AI methods (e.g., neural networks, NLP) to address business problems and optimize processes
  • Implement and experiment with Generative AI models based on business needs using Prompt Engineering, Retrieval Augmented Generation (RAG) or Finetuning, using LLM's, LVM's, TTS etc
  • Collaborate with teams across Digital & Innovation, business stakeholders, software engineers, and product teams, to rapidly prototype and iterate on new models and solutions
  • Mentor and coach junior data scientists and analysts, fostering an environment of continuous learning and collaboration
  • Adapt quickly to new AI advancements and technologies, continuously learning and applying emerging methodologies to solve complex problems
  • Work closely with other teams (e.g., Cybersecurity, Cloud Engineering) to ensure the successful integration of models into production systems
  • Ensure models meet rigorous performance, accuracy, and efficiency standards, performing cross-validation, tuning, and statistical checks
  • Communicate results and insights effectively to both technical and non-technical stakeholders, delivering clear recommendations for business impact
  • Ensure adherence to data privacy, security policies, and governance standards across all data science initiatives

Requirements:

  • Bachelor's degree in Data Science, Machine Learning, Computer Science, Statistics, or a related field. Master’s degree or Ph.D. is a plus
  • 7+ years of experience in data science, machine learning, or AI, with demonstrated success in building models that drive business outcomes
  • Proficient in Python, R, and SQL for data analysis, modeling, and data pipeline development
  • Experience with DevSecOps practices, and tools such as GitHub, Azure DevOps, Terraform, Bicep, AquaSec etc
  • Experience with cloud platforms (Azure, AWS, Google Cloud) and large-scale data processing tools (e.g., Hadoop, Spark)
  • Strong understanding of both supervised and unsupervised learning models and techniques
  • Experience with frameworks like TensorFlow, PyTorch, and working knowledge of Generative AI models like GPT and GANs
  • Hands-on experience with Generative AI techniques, but with a balanced approach to leveraging them where they can add value
  • Proven experience in rapid prototyping and ability to iterate quickly to meet business needs in a dynamic environment

Additional Information:

Job Posted:
December 15, 2025

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