Company overview
Consumer Edge (“CE”) delivers real-time transaction-based intelligence enriched by AI and deep industry expertise. Our mission is to turn complex consumer and business data into actionable insights. Our technology team is distributed across Europe and the US and is driven by curiosity and rigor.
Role summary
As a Staff Data Scientist on the AI Products team, you’ll design, evaluate & deliver AI systems including chatbots, RAG frameworks, and multi-agent workflows. You will lead end to end delivery of highly visible projects within the team, partnering closely with engineers and product stakeholders to take ideas from exploration through production.
Your main responsibilities
- Develop and evaluate AI and LLM applications for retrieval, generation, and conversation.
- Build evaluation pipelines and establish robust measurement standards.
- Collaborate with Software Engineers to productionize models.
- Research prompt strategies, fine-tuning approaches, and RAG architectures.
- Define metrics and experiments that connect model performance to user impact.
- Document and communicate findings to technical and business stakeholders.
- Mentor junior scientists and champion data quality standards.
We’re looking for someone with
- Strong background in Applied Data Science or Machine Learning with 7 yrs + experience.
- Hands-on experience building and evaluating LLM-powered systems, including RAG, conversational AI, and agentic / multi-agent workflows.
- Deep understanding of LLM evaluation techniques (offline benchmarks, human-in-the-loop review, LLM-as-judge, and online experimentation).
- Background in statistics, experimentation, and ML research methods
- Hands-on experience writing high quality production code (Python, SQL) and experience with various data science libraries (Pandas, scikit-learn, PyTorch, TensorFlow).
- Experience with ML platforms and orchestration tools (e.g., Vertex AI, MLflow, Dagster), or equivalent systems
- You are very comfortable working in a start up environment, are a strong collaborator and you have proven ability to deliver end-to-end projects with high level stakeholder visibility.
Tech stack & team context
Part of the AI Products group alongside engineers and scientists across Dublin, Italy, and New York. The stack includes Python, Vertex AI, BigQuery, Dataflow, and Hugging Face libraries. The team operates with high autonomy and values rapid experimentation balanced with scientific discipline.
Benefits & perks
We are a remote-first company with a distributed environment and flexible working arrangements. We believe that distributed workers should be first-class citizens. We also have an office in New York if offices are your thing
.png)
