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Role Summary:

Develop predictive models for Next Best Offer (NBO) and Next Best Action (NBA)


Key Responsibilities:

  • Develop and implement machine learning models and algorithms to solve complex problems.
  • Analyze large datasets to extract meaningful insights and identify patterns.
  • Collaborate with cross-functional teams to understand business requirements and deliver actionable solutions.
  • Design and conduct experiments to validate model performance and effectiveness.
  • Optimize algorithms for processing speed and accuracy.
  • Stay up to date with the latest advancements in machine learning and data science technologies.
  • Communicate findings and solutions to both technical and non-technical stakeholders.
  • Qualifications:
  • Bachelor’s or Master’s degree in Computer Science, Data Science, or a related field.
  • Proven experience in developing machine learning models and working with large datasets.
  • Strong programming skills in languages such as Python, R, or Java.
  • Familiarity with machine learning frameworks and libraries (e.g., TensorFlow, PyTorch, Scikit-learn).
  • Experience with data visualization tools and techniques.
  • Excellent analytical and problem-solving skills.
  • Strong communication skills and the ability to work collaboratively in a team environment.


Technical Skills:

  • Proficient in Python for ML development and automation.
  • Strong understanding of ML algorithms, recommendation systems, and predictive analytics.
  • Building custom ML pipelines for training and deployment.
  • Experience with model serving and integration into applications.
  • Statistical modeling and hypothesis testing.
  • Writing modular, reusable code for experimentation and production.
  • Familiarity with version control and CI/CD for ML workflows.
  • Knowledge of data visualization and reporting frameworks.

Tool Experience:

  • Azure AI Foundry (Model training, deployment, orchestration)
  • Python (Scikit-learn, PyTorch, TensorFlow)
  • Feature Engineering and Predictive Analytics
  • Microsoft Fabric for data access and preparation
  • Power BI for visualization and reporting

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