Data Science and AI Lead

10 hours ago

Jamnagar, Gujarat, India beBeeDataScience Full time ₹ 1,98,00,000 - ₹ 2,16,00,000
Job Overview

We are seeking a seasoned professional to lead our Data Science and AI initiatives. The successful candidate will have a strong background in machine learning and data engineering, with experience in building scalable cloud-native ML pipelines and APIs.

Key Responsibilities
  • Engage with clients to understand their business objectives and challenges, providing data-driven recommendations and AI/ML solutions 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.
  • Stay current with developments in AI, ML modelling, and data engineering best practices, and integrate them into project work.
Requirements
  • 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, and customer segmentation for personalized targeting.
  • Bachelor's or Master's degree from a reputable institution.
  • 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.
  • 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.

Note: This is a challenging role that requires a unique blend of technical expertise, business acumen, and leadership skills. If you are passionate about data science and AI, and have a proven track record of delivering results, we encourage you to apply.

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