Senior Data Scientist I

Senior Data Scientist role focused on building and deploying production-grade rule-based and machine learning models, including generative AI and LLMs. Responsibilities include data analysis, feature engineering, model monitoring, and ensuring compliance with AI guidelines. The role also involves mentoring junior data scientists and collaborating with various partners.

What you'd actually do

  1. Design, build, validate and deploy production grade rule-based & machine learning models using structured and unstructured data
  2. Perform exploratory data analysis, feature engineering
  3. Monitor, evaluate and improve model performance.
  4. Ensure model development follows quality, security , compliance, explainability and responsible use of AI guidelines,
  5. Collaborate with multiple partners from Business, Technology, Operations and D&A capabilities (Data Governance, Data Quality, Data Modeling, Data Architecture, Data science, DevOps, BI & insights)

Skills

Required

  • Python
  • Statistics, hypothesis testing, Feature engineering, Modeling
  • Machine learning frameworks: SCikit-learn, TensorFlow, Pytorch
  • Natural language processing (NLP): spacy, Transformers, OCR
  • Generative AI: Large language Models, prompt engineering
  • Communication skills
  • analytical skills
  • structured problem-solving skills.
  • Mentorship experience

Nice to have

  • Azure ML or cloud AI/ML Services
  • ML Ops
  • Banking Financial Services and Insurance domain knowledge

What the JD emphasized

  • production grade
  • production grade
  • responsible use of AI guidelines

Other signals

  • production grade data and analytics solutions
  • machine learning
  • production grade rule-based & machine learning models
  • Generative AI: Large language Models, prompt engineering