Analytical mindset with a solid technical background
Proactive problem-solving and execution abilities
Hands-on experience with large language models (LLMs)
Experience with raw and heterogeneous data sources
Ability to develop Python-based prototypes for analytics and AI
Responsibilities
Partner with business teams to translate complex problems into AI solutions
Extract, clean, and structure data from diverse sources
Develop Python-based prototypes leveraging advanced analytics and generative AI
Design and refine prompts for large language models to ensure reliable outputs
Rapidly experiment with emerging AI capabilities for practical business solutions
Collaborate with data and engineering teams to align prototypes with production needs
Operationalize data and AI solutions for reusable applications
Benefits
Opportunities for professional development and growth
Collaborative work environment with cross-functional teams
Access to cutting-edge AI technologies
Flexible work arrangements
Focus on innovative problem-solving and experimentation
Full Job Description
Job Summary The Data Scientist will support an AI Execution function by turning raw data and emerging AI capabilities into practical, reusable solutions that improve efficiency and decision-making. The role emphasizes problem understanding, rapid experimentation, data operationalization, applied AI, and generative AI rather than traditional modeling alone. The ideal candidate will be analytical, execution-focused, comfortable working with imperfect data, and capable of navigating ambiguity to deliver practical business impact.
Key Responsibilities • Partner with business teams to understand complex problem statements and translate them into AI-enabled solutions. • Extract, clean, and structure data from raw and heterogeneous sources to support analytics and generative AI use cases. • Develop Python-based prototypes and tools leveraging advanced analytics and generative AI. • Design, test, and refine prompts for large language models (LLMs) to deliver reliable, explainable, and decision-ready AI outputs. • Experiment rapidly with emerging AI capabilities and develop practical solutions for business needs. • Collaborate with data, technology, and engineering partners to align prototypes with production requirements. • Operationalize data and AI solutions for reusable business applications.
Required Qualifications • 5-7 years of relevant professional experience. • Strong Python programming skills. • Strong analytical mindset and technical background. • Ability to proactively solve problems and execute solutions. • Hands-on experience designing, testing, and refining prompts for large language models (LLMs). • Experience working with raw and heterogeneous data sources. • Ability to develop Python-based prototypes and tools for analytics and AI use cases. • Ability to work effectively with imperfect data and navigate ambiguous problem statements.
Preferred Qualifications • Experience building end-to-end AI solutions. • Experience applying generative AI to business problems. • Experience collaborating with data, technology, and engineering teams to transition prototypes toward production.
