Data Scientist, Creative Excellence

Job Description

Within Ipsos, the Creative Excellence team helps clients understand what makes advertising effective across TV, digital, social, and other media channels. A core strategic solution is Creative Spark AI, an AI-enabled capability that predicts and explains ad performance at scale and globally. In this role you will support the development and evolution of this solution and create new products that leverage the framework for market opportunities.

• The opportunity to work with cutting‑edge AI and data technologies in a production environment, in partnership with experienced data scientists and engineers in the Generative AI & Data Science department.
• A culture that values curiosity, scientific rigor, collaboration, and continuous learning.
• The chance to grow into more senior or specialized roles (e.g., lead data scientist, AI product specialist, or domain expert in creative analytics).

Contribute to the design and experimentation of the AI models and features that power Creative|Spark AI and related solutions. Experiment with alternative measurement and modelling best practices that may become independent products or solutions. Ensure experimentation and custom analyses align with Creative|Spark AI global methodology. Translate research brief into modelling problems (data, features, approach, evaluation) and deliver actionable insights to decision makers.

Work autonomously on clearly defined problems, collaborate closely with lead data scientists and engineers, and progressively take ownership of more complex work streams.

• Feature and model development – design, engineer, and test new model variants from survey, coded, or digital data sources to improve prediction accuracy and explainability across distinct advertising environments and verticals.
• Integrate new features into experimental models and quantify their impact on accuracy, robustness, and interpretability, summarizing results for senior management decision‑making.
• Document feature definitions, derivation logic, and performance impact for reproducibility.
• Design and execute experiments and benchmarks comparing different feature sets, algorithms, or model configurations (classical ML, deep learning, NLP/CV).
• Use appropriate evaluation metrics (accuracy, AUC, RMSE, calibration, stability across segments) and validation schemes (cross‑validation, hold‑out, time‑based splits) for robust conclusions.
• Maintain clear experiment logs and documentation (notebooks, reports, dashboards) so results can be reviewed, reproduced, and reused by CRE and GADS teams.
• Contribute to continuous improvement of modelling best practices for Creative|Spark AI.
• Advocate for new products and solutions that generate incremental revenue on top of CRE’s core business.
• Translate understanding of Ipsos’ Creative Excellence business into new solutions with global and US product teams, consistently delivering accurate responses using ML, Gen AI, and survey methods.
• Drive transformation of Ipsos’s business model through the strategic use of synthetic data, enhance insight generation, and enable advanced market simulations.
• Support innovative product development and new revenue streams, maximizing value from data assets.
• Help translate stakeholder business and research questions into robust analytical workflows aligned with Ipsos’ methodologies and AI governance.
• Present modelling results, feature impacts, and recommendations in clear, non‑technical language to CRE stakeholders.
• Collaborate with business‑facing teams to frame and refine client questions, ensuring feasibility and methodological rigor.
• Contribute to internal training, playbooks, and knowledge sharing on our core AI solution.
• Support client‑facing presentations or proposals with concise, well‑structured analytical inputs when relevant.

• Master’s degree (or equivalent) in Data Science, Statistics, Applied Mathematics, Computer Science, Econometrics, or a related quantitative field.
• PhD is a plus but not required.

• 7–10 years of professional experience as a Data Scientist in applied machine learning.
• Hands‑on experience building and…