Data Scientist, Creative Excellence

Job Description

Job DescriptionWithin Ipsos, the Creative Excellence helps clients understand what makes advertising effective across TV, digital, social and other media channels. A core strategic solution is Creative Spark AI, which is an AI-enabled capability to predict and explain ad performance, at scale and globally. Your primary focus will be to support the development and evolution of this solution.

This evolution will also include creation of new products utilizing the framework to take advantage of current blue ocean space in the market. What We OfferThe opportunity to work with cutting-edge AI and data technologies in a production environment, in partnership with other experienced data scientists and engineers within the Generative AI & Data Science department. A culture that values curiosity, scientific rigor, collaboration, and continuous learning. The chance to grow towards more senior or specialized roles (e.

g. lead data scientist, AI product specialist, or domain expert in creative analytics).

Role SummaryIn this role, you will contribute to the design and experimentation of the AI models and features that power Creative|Spark AI and related solutions. When client and industry need demand it, you will experiment to find alternative measurement and modelling best practices which may become independent products or solutions. You will ensure that experimentation and custom analyses remain consistent with our Creative|Spark AI global methodology, where applicable.

You will translate research and client briefs into modelling problems (which data, which features, which modelling approach, which evaluation criteria) and ensure actionable insights and recommendations. You are expected to work autonomously on well-defined problems, collaborate closely with lead data scientists and engineers, and progressively take ownership of more complex modelling workstreams. Key Responsibilities

Feature and Model DevelopmentDesign, engineer, and test new model variants from survey, coded, or digital data sources, to improve prediction accuracy and explainability of ad performance across distinct ad environments and verticals. Integrate new features into experimental models and quantify their impact on prediction accuracy, robustness, and interpretability, and summaries the uplift (or lack thereof) for CRE senior management decision-making.

Document feature definitions, derivation logic, and performance impact for replicability Experimentation, Evaluation & DocumentationDesign and execute experiments and benchmarks comparing different feature sets, algorithms, or model configurations (e. g.

classical ML, deep learning, NLP / CV approaches). Use appropriate evaluation metrics (e. g.

accuracy, AUC, RMSE, calibration, stability across segments) and validation schemes (cross-validation, hold-out, time-based splits) to ensure 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.

Act as an advocate for, and owner of, new products and solutions that grow incremental revenue on top of CRE’s core, traditional businessDevelop an understanding of Ipsos’ Creative Excellence business and its evolution into new spaces. Translate this understanding into new solutions, along with global and US product teams, which answer client questions consistently, efficiently and accurately utilizing ML, Gen AI and survey methods

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