Key Skills

Job Description

Senior Data Scientist Technical Skills Python Data Concepts and Data Modelling Oracle SQL Data Vault Modelling Role Overview: The Senior Data Scientist will be responsible for designing and developing data models in collaboration with Data Architects and Solution Architects, ensuring alignment with business requirements and data architecture standards. Key Responsibilities: Design and develop data models based on business and technical requirements. Gather, analyse, and translate business stakeholder requirements into technical solutions. Use Python and Oracle SQL for data analysis, validation, and transformation. Apply Data Vault modelling principles to support scalable and reliable data solutions. Make informed decisions and drive progress in situations involving incomplete or ambiguous information. Collaborate with business stakeholders, Data Architects, and Solution Architects to ensure effective solution delivery. Required Skills: Strong knowledge of Python, Oracle SQL, and data modelling concepts. Understanding of Data Vault methodology. Excellent analytical, problem-solving, and decision-making skills. Strong stakeholder management and communication skills. Ability to work independently and manage ambiguity.

Core Responsibilities

Design and develop data models aligned with business requirements and data architecture standards, collaborating with Data Architects and Solution Architects. Translate stakeholder requirements into technical solutions and use Python and Oracle SQL for data analysis, validation, and transformation.

Requirements

Requires strong knowledge of Python, Oracle SQL, data modeling concepts, and Data Vault methodology. Candidates should have strong analytical, problem-solving, decision-making, communication, and stakeholder management skills, and be able to work independently amid ambiguity.