Senior AI & Data Scientist

Senior AI & Data Scientist

This role has been designed as 'Hybrid' with a requirement that you will work on average 2 days per week from an HPE office.

Hewlett Packard Enterprise is the global edge-to-cloud company advancing the way people live and work. We help companies connect, protect, analyze, and act on their data and applications wherever they live, from edge to cloud, so they can turn insights into outcomes at the speed required to thrive in today's complex world. Our culture thrives on finding new and better ways to accelerate what's next.

We know varied backgrounds are valued and succeed here. We have the flexibility to manage our work and personal needs. We make bold moves, together, and are a force for good. If you are looking to stretch and grow your career our culture will embrace you. Open up opportunities with HPE.

Design, develop, and deploy AI, machine learning, and generative AI solutions that drive sales performance and operational efficiency.

Develop predictive models for sales forecasting, pipeline health, lead scoring, opportunity prioritization, territory planning, and customer segmentation.

Build AI-powered copilots, intelligent assistants, and Retrieval-Augmented Generation (RAG) solutions to improve seller productivity and streamline sales processes.

Analyze CRM, sales, customer, and operational data to identify trends, risks, and growth opportunities.

Partner with Sales, Sales Operations, Revenue Operations, and IT leaders to identify high-value AI use cases and deliver scalable solutions aligned with business objectives.

Build and maintain production-ready AI models and MLOps processes, ensuring reliability, scalability, and ongoing performance monitoring.

Develop dashboards and executive-level reporting that provide actionable insights into pipeline performance, forecast accuracy, sales productivity, and key commercial metrics.

Stay current on emerging AI technologies and recommend innovative solutions that improve commercial effectiveness and customer engagement.

Master's degree in Data Science, Computer Science, Artificial Intelligence, Statistics, Mathematics, or a related quantitative field.

7+ years of experience in data science, machine learning, or AI, including experience deploying enterprise-scale AI solutions.

Strong proficiency in Python, SQL, and modern machine learning frameworks such as PyTorch, Tensor Flow, and Scikit-learn.

Experience with Large Language Models (LLMs), prompt engineering, Retrieval-Augmented Generation (RAG), AI agents, and generative AI frameworks.

Experience with Salesforce or similar CRM platforms, sales analytics, and enterprise data environments.

Experience with cloud platforms (Azure preferred), MLOps, and visualization tools such as Power BI or Tableau.

Experience supporting Sales, Sales Operations, or Revenue Operations within an enterprise technology, networking, SaaS, or cloud organization.

Strong understanding of sales forecasting, pipeline analytics, territory management, account planning, pricing, and sales performance metrics.

Excellent communication and presentation skills with the ability to influence executive stakeholders.

Demonstrated ability to lead cross-functional AI initiatives and drive the adoption of data-driven decision-making across commercial organizations.