Lead Data Scientist

2 days ago

Mount Abu, Rajasthan, India beBeeDataScientist Full time ₹ 1,50,00,000 - ₹ 2,50,00,000
Job Overview

We are seeking an experienced Lead Data Scientist to join our team. The successful candidate will have a strong background in Artificial Intelligence (AI) and Machine Learning (ML), with a proven track record of delivering high-impact projects.

Key Responsibilities:
  • Engage with clients to understand their business objectives and challenges, providing data-driven recommendations that enhance decision-making and deliver tangible value.
  • Translate business needs into well-defined machine learning problem statements and solution workflows.
  • Solve business problems using analytics and machine learning techniques: Conduct exploratory data analysis, feature engineering, and model development to uncover insights and predict outcomes.
  • Develop and deploy ML models, including supervised and unsupervised learning algorithms and model performance optimization.
  • Design and implement scalable, cloud-native ML pipelines and APIs 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.
Required Skills and Qualifications:
  • 4 to 7 years of relevant experience in building ML solutions, with a strong foundation in machine learning modelling and deployment.
  • Strong exposure to banking, payments, fintech or Wealth/Asset management domains, with experience working on problems related to:
  • Marketing analytics for product cross-sell/up-sell and campaign optimization
  • Customer churn and retention analysis
  • Credit risk assessment and scoring models
  • Fraud detection and transaction risk modeling
  • Customer segmentation for personalized targeting
  • 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, PyTorch
  • Experience in end-to-end model development lifecycle: data preparation, feature engineering, model selection, validation, deployment, and monitoring
Benefits:
  • Eagerness to learn and familiarity with developments in 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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