Data Scientist

About the job

Company Description Datavid empowers enterprises to unlock the true potential of their data with software solutions tailored to extract, enrich, and discover valuable insights. Focused on driving innovation, R&D, and enhanced customer experiences, Datavid collaborates with global enterprise clients. The company is supported by a team of over 80 skilled professionals, including software developers, data engineers, machine learning experts, project managers, and creative specialists. Role Overview The Data Scientist plays a key role in Regulatory Data Hub initiative, supporting the delivery of standardized, trusted, and compliant regulatory data across the organization. This role acts as the key resource to implement data transformation pipelines according to the transformation pipeline architecture, including development of required logic and definition of mapping tables. Key Responsibilities - Participate in refinement sessions and contribute to task estimations - Report work progress to data analyst in Jira - Review mapping definition with data analysts - Contribute with other data scientists on mapping definition for transformation pipelines - Contribute to mapping function development and unit testing of these functions - Contribute to mapping configurations - Support the data analyst and data domain lead in the review of mapping configurations - Define the design of quality control pipelines, ensuring mapping accuracy and alignment with analytical expectations. - Review and maintain the quality control pipelines with the Data Analyst, Data Domain Lead and Data Governance Lead - Implement or configure the appropriate tools for the approved quality control pipelines. Key Deliverables - Precise estimates for tasks in the Jira board - High quality code for the mapping functions, developed according to the Data Ops core principles - Mapping configurations - Comprehensive and well-documented quality control pipeline design - High quality implementation and tool configuration for the quality control pipelines. Skills and Qualifications - Bachelor's degree in data Analytics, Computer Science - 5+ years of experience in data transformation pipelines or ETL - Strong technical skills in Databricks, Python development - Strong quality control and analytical skills, experience in SODA would be a plus - Practical experience working with AI , ML & large language models, including prompt engineering, and retrieval-augmented generation. Ability to integrate LLMs with enterprise data sources, ensuring accuracy, governance, and safe model behaviour.