Senior Data Scientist

Make Your Mark at Ipsos

We are a leading global market and social research company, enabling organisations to make smarter, bolder and faster decisions.

Are you passionate about applying cutting-edge AI to solve complex business problems? Do you enjoy leading technical innovation and mentoring others? Want to help define the future of synthetic data and digital twins in market research? Then we'd love to hear from you.

About the Role

As a Senior Data Scientist in the Synthetic Data team, you'll play a leading role in shaping Ipsos' synthetic data and digital twin capabilities. You'll work on some of the most exciting AI challenges in the research industry, combining machine learning, deep generative modelling and large language models to create innovative solutions that support better decision-making for clients and researchers alike.

You'll lead technical projects from experimentation through to implementation, help define best-practice evaluation frameworks, and collaborate closely with engineers, researchers and stakeholders across the business. Alongside delivering high-quality technical work, you'll mentor colleagues, contribute to the team's research agenda and help bring emerging AI innovations into practical, scalable applications used across Ipsos.

About You

Essential Skills

- Master's degree, PhD or equivalent experience in Statistics, Mathematics, Computer Science or a related discipline.
- Significant experience delivering complex data science projects.
- Strong expertise in statistical modelling, machine learning and experimentation.
- Advanced Python programming skills.
- Experience developing deep generative models, including transformers, diffusion models, GANs or VAEs.
- Experience building applications using Large Language Models.
- Knowledge of model validation, evaluation frameworks and MLOps practices.
- Experience working with cloud platforms such as AWS, Azure or Google Cloud.
- Ability to influence stakeholders and communicate complex technical concepts clearly.

Desirable Skills

- Experience in market research, customer insight or analytics environments.
- Experience collaborating with academic institutions or external research partners.
- Knowledge of digital twin methodologies and applications.
- Experience contributing to AI product development or innovation programmes.
- Proficiency in AI adoption and utilisation to enhance productivity, 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
- Talent management
- Leadership and social influence

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!