Data Scientist - Sales AI / GenAI (h/f)

Are you an experienced Data Scientist with strong Python, SQL and hands‑on LLM experience?

emagine has an opportunity for you to support a global team in developing and scaling advanced AI‑driven sales intelligence capabilities.

As part of a growing AI and data science function, you will contribute to the evolution of a sales AI copilot—helping transform complex business data into actionable insights and supporting the integration of GenAI into core workflows.

Key Tasks & Deliverables

• Support the data science team in developing data‑driven and AI‑driven solutions.
• Analyse business data models and data flows to understand end‑to‑end processes.
• Work with Python, pandas and SQL to explore, transform, and model data.
• Build and refine LLM‑powered components and contribute to GenAI integration.
• Take ownership of data analysis tasks, working directly with business stakeholders.
• Contribute to model development, data pipelines and, where relevant, MLOps practices.
• Use Azure and Git‑based workflows to collaborate effectively within the engineering and AI teams.

Skills & Experience

• Strong experience in Python (expert), pandas, and SQL.
• Practical use of LLMs and understanding of data models and downstream business flows.
• Knowledge of Azure and Git/GitHub environments.
• Strong analytical mindset with demonstrated data‑driven problem‑solving abilities.
• Comfortable working independently while collaborating with global AI, data science and business teams.
• Curiosity for learning, especially around GenAI trends and applied AI solutions.
• Bonus: experience with ML models, ML pipelines/MLOps, or tools like GitHub Copilot/equivalents.

Why join?

You’ll be part of a modern, collaborative, international environment building cutting‑edge AI solutions. Teams are supportive, innovative, and autonomous. Ideal for someone who enjoys taking ownership while working as part of a high‑performing global group.

This role is 100% remote, open to consultants based in Europe.

Apply with your latest CV or reach out to Brendan to find out more.