The Sales BPR team in EMEIA is looking for a curious, collaborative, and commercially minded Data Scientist to join their team. This role goes beyond traditional reporting, analytics and data science - you will help drive AI adoption across the Sales organisation by supporting the development of intelligent, agentic, and machine learning-powered applications that improve how teams operate and make decisions.
You will work closely with data scientists, engineers, and business stakeholders to research, test, and deploy modern AI solutions for real-world sales use cases. You will also play an important role in helping non-technical stakeholders understand and confidently engage with AI technologies.
This is an ideal opportunity for someone who is passionate about AI, enjoys solving business problems, and wants to grow in a highly collaborative environment.
Description
Analyse sales and operational data to identify trends, opportunities, and actionable insights
Work with BPR project managers to prototype and deploy analytics and automation solutions
Providing support in researching, testing & applying the latest agentic frameworks to build truly agentic applications for sales use cases
Provide training, testing and deployment of machine learning models to be integrated into AI enabled applications and automation workflows
Experiment & Evaluate the latest AI technologies including LLMs and agent-based systems
Act as a subject matter enthusiast on AI and machine learning topics within the sales organisation
Share knowledge to help up-skill non-technical teams members on fundamentals of AI and machine learning using practical examples
Maintain a collaborative and supportive mindset to support sales colleagues on their AI learning journey
Partner closely with business stakeholders to understand operational challenges and translate them into data & AI driven solutions
Contribute to data quality, documentation and process improvement initiatives
Partner closely with our AI/ML lead and Data Platform Architect to collaborate on solutions
Preferred Qualifications
Bachelor’s degree in Data Science, Computer Science, Mathematics, Statistics, Engineering or a related technical field, or equivalent experience.
Minimum Qualifications
Proven experience in data science, analytics, machine learning or AI related projects
Strong analytical and problem solving skills
Proficiency in SQL,Python, AI Coding tools : Claude Code, Codex
Deep understanding of machine learning fundamentals
Deep understanding of how LLMs and agentic systems work and build agentic AI apps
Strong Curiosity with AI and a an ongoing passion for learning
Strong Interpersonal Skills: Ability to communicate clearly to both technical and non-technical stakeholders/teams
Genuine interest in supporting and educating others
Ability to work in a collaborative, fast paced, cross functional environment
Exposure to modern AI frameworks or orchestration tools (LangGraph etc)
Deep experience with LLM APIs and prompt engineering
Familiarity with cloud platforms e.g. AWS, Azure, GCP
Good understanding of APIs, vector databases or RAG architectures
Experience working with commercial, operational & sales data