Data Scientist

Key Responsibilities:

• AI-Driven Development:

  Design and develop an intelligent data conversion application using AI technologies.

• Data Mapping & Validation:

  Implement AI algorithms to accurately map source-to-target data and validate integrity.

• Automated Code Generation:

  Develop AI models to automate code creation for transformation scripts.

• Code Conversion:

  Use AI to facilitate smooth and efficient legacy-to-modern code conversion.

• Monitoring & Troubleshooting:

  Ensure the health and performance of the AI-powered conversion system.

• Cross-Functional Collaboration:

  Work closely with data engineers, developers, AI/ML engineers, and business analysts.

• Documentation:

  Maintain detailed records of models, processes, and tools used.

• Continuous Learning:

  Stay abreast of the latest trends in AI, ML, data science, and cloud technologies.

What Youll Need:

• Bachelor's or Master’s in

  Data Science

  ,

  Computer Science

  ,

  Artificial Intelligence

  , or a related field.
• Strong experience in

  Python

  ,

  SQL

  , and other relevant programming languages.
• Hands-on with

  AI/ML frameworks

  like TensorFlow, PyTorch, etc.
• Proven experience with

  AI-driven data mapping

  ,

  code generation

  , and

  validation techniques

  .
• Knowledge of

  code conversion

  methodologies and tools.
• Experience working with databases such as

  SQL Server

  and

  MongoDB

  .
• Strong

  analytical and problem-solving

  abilities.
• Excellent

  collaboration and communication

  skills.
• High attention to detail and data accuracy.
  
• Comfortable with a

  "fail fast, learn faster"

  approach in agile, fast-paced environments.
• 5+ years of relevant industry experience.
  

Preferred Qualifications:

• Experience in the

  Financial Services

  domain with awareness of compliance requirements.

• Certifications

  in Data Science or AI/ML.
• Familiarity with

  data wrangling

  ,

  ETL processes

  , and

  Master Data Management

  .
• Exposure to

  DevOps tools

  like Jira, Bitbucket, and Confluence.
• Hands-on with

  Azure technologies

  : Cognitive Services, Synapse Analytics, Databricks, and Azure ML.
• Prior experience delivering

  AI-powered data solutions

  , such as:
• Seamless Data Schema Conversion
  
• AI-Driven Data Validation for Migration
  
• Intelligent Code Generation
  
• Historical Data Transformation and Archiving
  
• AI-Augmented Reconciliation and Error Detection