Associate, Data Science

Overview

In this hybrid role, you drive the data transformation journey by turning raw data into analytics-ready assets that empower AI and data science. You will bridge data ingestion, analytics workflows, and business insights across global teams, applying clean architecture and production-grade practices. This position blends engineering rigor with analytics, offering opportunities to influence analytics delivery and modernise legacy solutions. You’ll work with cross-functional teams to deliver scalable, documented solutions that support business decisions.

Responsibilities

• Productionise data science and AI prototypes into reliable applications and services using Python-based analytics and containerised or cloud delivery patterns
• Provide technical guidance and safe paths from prototype to production for business users and citizen developers
• Collaborate with global data science and engineering teams to apply clean architecture, source control, testing, and deployment standards
• Build and maintain user documentation, runbooks, and knowledge resources for sustainment
• Collaborate with technology teams to reduce operational burden and amplify AI impact
• Provide EMEA time-zone support for data science, analytics engineering, deployment, troubleshooting, and handoff
• Support and modernise legacy analytics solutions into scalable, maintainable patterns using Python, Snowflake, and governed platforms
• Maintain and enhance existing analytics products, including Power BI dashboards and recurring workflows

Key requirements

• Solid experience in data science, software development, or AI-related engineering
• Practical experience with Python and data-focused application development
• Familiarity with analytics platforms such as Power BI, Snowflake, or similar data ecosystems
• Cloud-based deployment concepts, DevOps practices, version control (Git), and CI/CD pipelines (strongly preferred)
• Strong analytical thinking and problem-solving
• Clear communicator across technical and non-technical audiences
• Inclusive, collaborative attitude and disciplined, well-documented delivery
• Bachelor’s or Master’s degree in Computer Science, Data Science, Engineering, or related field; or equivalent practical experience
• 2–5 years of experience in data science, software engineering, data engineering, or related technical role preferred

• collaboration
• communication
• problem-solving
• Python
• Data-focused application development
• Power BI

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