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Senior Data Scientist, Greece
Role type: Full time | Location: Greece (fully remote) | Preferred start date: ASAP
Satalia builds enterprise-grade AI systems for WPP and its FTSE 100 client base. Led by WPP Chief AI Officer Daniel Hulme, we run as a decentralised organisation where engineers and scientists own their domains end to end. Our data scientists are also at the core of WPP Research, conducting frontier research and developing prototypes that evolve into tools used in production across WPP.
Our current work includes:
Agentic systems. Developing long-horizon agents that plan, use tools, and collaborate. We also build the core infrastructure to ensure reliability and governance at scale, spanning context/memory, observability, traffic control, and continuous verification.
Federated and privacy-preserving learning. Training shared models when the data cannot move: federated LLM fine-tuning across independent data owners, and aggregation strategies that hold up under heterogeneous datasets.
Identity intelligence. Predictive and probabilistic modelling on large behavioural datasets: propensity and similarity models, and probabilistic record linkage across data sources.
Geospatial intelligence. Spatial statistics, geospatial feature engineering, and forecasting and optimisation over location data, plus computer vision on imagery.
Synthetic data. Generating realistic synthetic data with known ground truth to stress-test models and agents under controlled adversarial conditions.
You will be the technical lead across these workstreams: scoping the problem, choosing the modelling approach, building the training and evaluation infrastructure, and shipping to production by collaborating with engineers and domain experts across Satalia and WPP.
