Senior Data Scientist

2 weeks ago

Allahabad, Uttar Pradesh, India beBeeData Full time ₹ 1,23,43,000 - ₹ 2,49,23,000

Key Responsibilities:

  • Engage with clients to understand their 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 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.
  • 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 modelling, and data engineering best practices, and integrate them into project work.
  • Mentor junior team members, provide guidance on modelling practices, and contribute to an environment of continuous learning and improvement.

Job Requirements:

  • A minimum of 4 years of 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, customer churn and retention analysis, credit risk assessment and scoring models, fraud detection and transaction risk modeling, and customer segmentation.
  • 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.
  • 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.
  • The ability to bridge technical solutions with business impact and drive value through data science initiatives.

Benefits:

  • A dynamic work environment that fosters collaboration and innovation.
  • Opportunities for professional growth and development.
  • A competitive compensation package.

Others:

  • Our company is an equal opportunities employer.

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