Job Title     : Data Scientist
Experience : 0-5 Years
Location     : INDIA

Job Description :

• As a data scientist, you will be responsible for analyzing and interpreting complex data
• sets to identify patterns and insights. You will be developing data models and algorithms to
• support the project needs. Implement data validation strategies to ensure high data quality.
• Collaborate with AI/ML engineers to integrate data models into the conversion engine system.
• Present findings and recommendations to stakeholders and management.
• Not being afraid to fail fast is one of the essential tools an NL Data Scientist can have in the
• cutting-edge technology market.

What you will do:

• Develop AI-Driven Data Conversion Application: Utilize AI technologies to develop a
• comprehensive data conversion application.
• Data Mapping: Implement AI algorithms for accurate data mapping from source to  target.
• Code Generation: Automate code generation using AI models.
• Data Validation: Apply AI-driven validation techniques to ensure data integrity and  quality.
• Code Conversion: Facilitate seamless code conversion using AI algorithms.
• Collaboration: Work with data engineers, software developers, AI solution engineers,
• and business analysts to integrate the data conversion application.
• Monitor and Troubleshoot: Continuously monitor and troubleshoot the AI-driven  application to ensure optimal functionality.
• Documentation: Maintain detailed documentation of methodologies and processes  used in the application development.
• Stay Updated with Technologies: Keep up-to-date with the latest AI, data science, and
• data conversion technologies to enhance the application.

What you will need to have:

• Bachelor’s or Master’s Degree in Data Science, Computer Science, Artificial Intelligence, or a related field.
• Proficiency in Programming Languages such as Python, SQL, and other relevant languages.
• Experience with AI/ML Frameworks like TensorFlow, PyTorch, or similar.
• Knowledge of Data Mapping Techniques: Experience with AI-driven tools and
• methodologies for data mapping.• Strong Code Generation Skills: Experience in developing AI models for automating code generation.
• Experience with Data Validation: Implementing AI-based validation techniques.
• Familiarity with Code Conversion: Understanding AI algorithms for code conversion.
• Experience with Databases like SQL Server and MongoDB.
• Collaboration Skills: Ability to work effectively with cross-functional teams.
• Problem-Solving Skills: Strong ability to identify issues and develop creative solutions.
• Attention to Detail: Ensure accuracy and reliability of data conversions.
• 5+ Years of Relevant Experience in data science or a related field.
• Willingness to Fail Fast and learn from mistakes in the fast-paced technology market.

Preferred qualifications for consideration:

• Experience in the Financial Services Industry and an understanding of compliance  standards.
• Certification in Data Science or AI/ML.
• Experience with Master data management, Data Wrangling and ETL Processes.
• Familiarity with DevOps Tools like Jira, Confluence, and BitBucket.
• Experience with data and AI/ML Technologies: Such as NLP/NLU, Azure Cognitive
• Services, Azure Synapse Analytics, Azure data bricks and Azure ML service.
• Previous Experience Delivering AI Solutions for complex data or conversions: Seamless
• Data Schema Conversion, AI-Driven Data Validation for Migration Accuracy, Intelligent
• Code Generation for Data Transformation Scripts , Historical Data Transformation and
• Archiving, Intelligent Error Detection and Correction, AI-Augmented Data Reconciliation