Data Science and AI Innovator

1 week ago

Hyderabad, Telangana, India beBeeDataScience Full time ₹ 1,80,00,000 - ₹ 2,50,00,000
Job Title

AI and Data Science Leader

Lead innovative AI and data science projects that drive business value and success.

Key Responsibilities:
  • Develop strategic plans for AI and ML initiatives, ensuring alignment with business goals.
  • Build high-performing teams to deliver cutting-edge data science solutions.
  • Design and implement scalable, cloud-based ML pipelines using tools like Python, Scikit-learn, TensorFlow, and PyTorch.
  • Collaborate with cross-functional teams to deliver robust and reliable solutions in cloud environments such as AWS, Azure, or GCP.
  • Be a master storyteller for our services and solutions to clients at various stages of engagement using data-driven insights.
  • Stay current with developments in AI, ML modeling, and data engineering best practices, integrating them into project work.
  • Mentor junior team members, provide guidance on modeling practices, and contribute to an environment of continuous learning and improvement.
Requirements:
  • 4 to 7 years of experience in building ML solutions with a strong foundation in machine learning modeling and deployment.
  • Strong exposure to banking, payments, fintech, or Wealth/Asset management domains with experience working on problems related to marketing analytics, customer churn and retention analysis, credit risk assessment, fraud detection, and customer segmentation.
  • Experience in developing traditional ML models across business functions such as risk, marketing, customer segmentation, and forecasting.
  • Bachelor's or Master's degree from a Tier 1 technical institute or MBA from Tier 1 institute.
  • Proficiency in Python and experience with AI/ML libraries such as Scikit-learn, TensorFlow, and PyTorch.
  • Experience in end-to-end model development lifecycle: data preparation, feature engineering, model selection, validation, deployment, and monitoring.
  • Eagerness to learn and familiarity with developments in the Agentic AI space.
  • Strong problem-solving capabilities and the ability to independently lead tasks or contribute within a team setting.
  • Effective communication and presentation skills for internal and client-facing interactions.
  • Ability to bridge technical solutions with business impact and drive value through data science initiatives.

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