Knowledge Science Intern jobs at Ebay in United Kingdom, London

What You Will Accomplish

• Lead, mentor, and assist in the development of the data science and analytics team. The role will manage a team of high-impact, motivated data scientists.

• Collaborate with a cross-functional team of product managers, business owners, and engineering teams across the organization to define metrics, analyze performance, and uncover growth opportunities.

• Work closely with partner teams to measure the impact of implemented solutions through A/B tests or causal inference techniques, and derive findings to inform future iterations.

• Develop self-service tools, capabilities, and products through AI to help drive decision velocity across the organization.

• Leverage strong communication skills and experience to distill and present complex analyses with clear recommendations.

What You Will Bring

• BS/BA degree in Statistics, Applied Econometrics, Math, Physics, Computer Science, Engineering or other related core sciences (or equivalent).

• 8+ years of meaningful professional experience, or 6+ years with a Master’s degree or equivalent experience.

• Proficiency in Python/R and SQL, with experience in using a variety of BI tools such as Tableau.

• Deep understanding of experimentation (A/B testing), statistics, and causal inference

• Strong business acumen with the ability to frame unstructured problems and synthesize insights

• Product mentality with a focus on customer needs; able to productize insights and build scalable analytical solutions that serve diverse partners

• Strong communication, interpersonal, and presentation skills to effectively interact with business partners, stakeholders, and senior leadership.

• Ability to interact with senior and executive leadership in both ad-hoc and formal settings.

We’re building the future of eCommerce product discovery, and we need a data-driven, AI-savvy problem solver to help us do it as a Summer Intern.

This is a 3 month Summer Internship starting in May or June and will be based in our office in Richmond.

. This is a unique role at the intersection of data analytics, AI/ML model evaluation, and prompt engineering—ideal for someone who is just as comfortable writing SQL queries and Python scripts as they are experimenting with LLMs to build analytical solutions. You’ll be embedded in the Product Knowledge org, crafting how we structure and optimize taxonomy, ontology, and catalog data for next-gen search, recommendations, and AI-driven experiences.

● Analyze & Optimize eCommerce Product Data – Run deep SQL & Python analyses to identify opportunities in taxonomy, ontology, and structured data for search & discovery improvements.

● Leverage LLMs for Analytical Solutions – Use prompt engineering techniques to create AI-driven approaches for taxonomy validation, data enrichment, and classification.

● Evaluate & Improve AI/ML Models – Develop systematic evaluation frameworks for product knowledge models, embeddings, and semantic search solutions.

● Drive Insights & Strategy – Use data-driven storytelling to influence product and AI teams, helping shape decisions on catalog optimization, entity resolution, and knowledge graph development.

● Integrate with AI/ML Teams – Work closely with data scientists and engineers to test and refine AI-based classification, search ranking, and recommendation models.

● Prototype and Experiment – Adapt quickly, test hypotheses, and build quick experiments to validate structured data strategies and AI-driven discovery improvements.

***IMPORTANT - PLEASE READ BEFORE APPLYING***

• This will be a 3 month Summer Internship starting in either May or June.
• The Intern will be based out of our office in Richmond.
• This will be hybrid work format, so the incumbent will be spending at least 3 days in office.
• Candidates must still be enrolled in a University/College in the UK and based in the London area for the Summer.
• Graduation date should be no earlier than Winter 2025 or Summer 2026 (Subject to verification with the University.
• We are unable to provide re-location or housing. Applicants must be currently based in the London area and will continue to be in the area for the duration of the Internship.
• We are unable to consider candidates that do not meet the above.

• Student pursuing a Masters or PhD degree in Product or Business Analytics. Must still be enrolled in a University/College in the UK and graduating no earlier than Winter 2025 or Summer 2026.

• Strong Data & Analytics Skills – Proficiency in SQL & Python for data wrangling, analytics, and automation.

• Product Analytics Attitude – Familiarity with eCommerce search, recommendations, and knowledge graph applications

• Strong Communication – Ability to turn complex findings into actionable recommendations for Product, AI, and Engineering teams.

• AI/LLM Experience – Hands-on experience with LLMs, prompt engineering, and retrieval-augmented generation (RAG) for AI-powered insights (Preferred)

• Model Evaluation Know-How – Ability to define metrics and evaluation frameworks for assessing ML-driven taxonomy and classification models..

• Startup DNA – High agency, thrive in fast-paced, iterative environments with deep cross-functional collaboration.

● Build the AI-powered future of eCommerce product discovery.

Adapt quickly & own impactful projects in a startup-like, high-agency culture.

● Work directly with AI, Data Science, and Product teams to shape taxonomy & ontology strategies.

● Get hands-on with AI/ML in a real-world, high-scale environment.

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