AI Data Scientist

2 days ago

Thāne, Maharashtra, India beBeeData Full time ₹ 1,20,00,000 - ₹ 2,50,00,000

As a seasoned Data Science and AI Professional, you will play a pivotal role in driving business growth through data-driven insights and AI/ML solutions.

  • You will engage with clients to understand their business objectives and challenges, leveraging your expertise in machine learning modelling and deployment to deliver tangible value.
  • Your key responsibility will be to translate business needs into well-defined machine learning problem statements and solution workflows.
  • With a strong foundation in analytics and machine learning techniques, you will conduct exploratory data analysis, feature engineering, and model development to uncover valuable insights and predict outcomes.
  • You will develop and deploy ML models, including supervised and unsupervised learning algorithms, as well as model performance optimization.
  • Your technical expertise will enable you to design and implement scalable, cloud-native ML pipelines and APIs using tools like Python, Scikit-learn, TensorFlow, and PyTorch.
  • You will collaborate with cross-functional teams to deliver robust and reliable solutions in cloud environments such as AWS, Azure, or GCP.
  • Effective communication and presentation skills will be essential for telling the story of our services and solutions to clients at various stages of engagement.
  • Staying current with developments in AI, ML modelling, and data engineering best practices is crucial, and you will integrate these into project work.
  • Mentoring junior team members and providing guidance on modelling practices will also be an important aspect of your role.
Requirements

To succeed in this role, you will require:

  • 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, customer churn and retention analysis, credit risk assessment, fraud detection, 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, 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.
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