Work Flexibility: Hybrid **What you will do-** - Translate stakeholder requirements to potential AI & data science solutions independently. - Contribute to discussions on identifying opportunities where machine learning can be applied to real-world business opportunities with key stakeholders. - Support data science and AI collaboration efforts with partners across functions and teams - Build and deliver presentations and communications that explain critical functions and findings to stakeholders with some guidance. - Apply fundamental and some advanced concepts, practices and procedures for problem solving - Automate repetitive data prep, feature engineering, and model monitoring pipelines with AI-driven tools. - Explore and integrate large language models (LLMs) and generative AI solutions to accelerate exploratory data analysis, reporting, and knowledge discovery. - Partner with engineering teams to operationalize models, embedding automation into core products and processes. - Continuously evaluate and improve model performance using automated monitoring, retraining, and alerting systems - Ability to manage individual tasks with minimal guidance and flag project risks as they are identified. **What you will need-** **Required-** - Bachelor's Degree in data science, computer science, mathematics, statistics, or related field with applicable data science work experience. And Master's Degree or PhD in Data Science or quantitative discipline preferred. - Experience- 7 years - 10 years - Expert proficiency in at least one programming language central to AI and Data Science (e.g. Python). - Familiarity with AI automation platforms and cloud-based native tools such as data storage, distributed computing, business intelligence, and infrastructure as code (Power BI, Azure, Fabric etc.). **Preferred-** - Proficient in at least two statistical techniques (e.g. time series modelling, classification, computer vision); in identifying the most appropriate statistical tool for a particular use case and project. - Familiarity with a variety of visualizations (e.g. correlation heat maps, bubble charts) and demonstrate financial acumen to develop financial impacts for existing projects and evaluating new opportunities - **Nice to have**: Microsoft Azure or Fabric data science/ AI related certifications here. Travel Percentage: 10%