Data Scientist

Make Your Mark at Ipsos

Are you excited by the potential of generative AI and synthetic data? Do you enjoy applying machine learning to real-world challenges and want to help shape the future of market research? If so, we'd love to hear from you.

About the Role

Join Ipsos' growing Synthetic Data team and help build the next generation of AI-powered research solutions. Working alongside data scientists, researchers and engineers, you'll explore how synthetic data and digital twins can transform the way insights are generated and delivered.

This is a unique opportunity to work at the cutting edge of generative AI, applying deep learning and LLM technologies to solve genuine business challenges. You'll be involved in designing and evaluating synthetic datasets, building digital twin applications, developing experimentation frameworks and helping turn emerging technologies into practical tools that can be used across Ipsos. You'll have the freedom to test new ideas, learn from experienced colleagues and contribute to innovation that has real commercial impact.

About You

Essential Skills

• Master's degree, PhD or equivalent experience in Statistics, Mathematics, Computer Science or a related discipline.
• Strong grounding in statistical analysis and machine learning.
• Proficiency in Python and modern data science libraries.
• Knowledge of deep generative modelling techniques.
• Experience working with LLM APIs or open-source LLM frameworks.
• Understanding of experimental design and model evaluation.
• Exposure to cloud platforms such as AWS, Azure or Google Cloud.
• Strong communication and collaboration skills.

Desirable Skills

• Experience within market research, analytics or customer insight environments.
• Familiarity with deploying machine learning models into production.
• Exposure to advanced generative AI methodologies.
• Experience contributing to innovation or R&D projects.
• Proficiency in AI use and adoption to improve efficiency, experimentation and research outcomes.

Behaviours

• Analytical thinking
• Creative thinking
• Curiosity and lifelong learning
• Resilience, flexibility and agility
• Motivation and self-awareness
• Empathy and active listening
• Service orientation and customer service

Benefits

We offer a comprehensive benefits package designed to support you as an individual. Our standard benefits include 25 days annual leave, pension contribution, income protection and life assurance. In addition, there are a range of health & wellbeing, financial wellbeing and professional development benefits available. We operate a hybrid working model and ask employees to spend three days per week in the office or with clients.

Ready to have an impact? Apply now!