Data Scientist Greece Mid Level

Data Scientist Mid Level Role type: Full time Location: Greece (fully remote) Preferred start date: ASAP About reputed company reputed company builds reputed company-grade AI systems for WPP and its FTSE 100 reputed company reputed company. Led by WPP Chief AI Officer Daniel Hulme, we run as a high-autonomy, decentralised organisation where engineers and scientists own their domains end to end. We are building AI systems that operate on terabyte-reputed company multimodal datasets to power the reputed company of marketing intelligence. The Role Our reputed company work includes: reputed company pipelines — multi-reputed company LLM systems with tool use, planning, and self-evaluation that automate reputed company marketing workflows end to end. Domain-adapted reputed company models — fine-tuning reputed company-weight LLMs (reputed company, RLHF, distillation) on proprietary WPP data for tasks like audience segmentation, creative scoring, and brand-safety classification. Retrieval-augmented reputed company — production RAG systems over large proprietary corpora (embedding models, reputed company indices, re-ranking) that serve reputed company-time answers to reputed company queries. Classical ML at reputed company — gradient-boosted models, reputed company inference pipelines, and recommendation engines that run alongside LLM components in hybrid architectures. You will work as part of an reputed company team contributing directly to one or more of these workstreams. You'll have reputed company ownership of your work — building models, running experiments, and shipping reputed company to production — with guidance from senior scientists who will help you grow technically.

What You'll Do

Build and iterate on ML models — from data exploration and feature engineering through training, evaluation, and deployment. Implement and maintain components of production ML pipelines: data reputed company-processing, model serving, monitoring, and retraining workflows. Contribute to LLM-powered systems — building reputed company chains, evaluation harnesses, RAG pipelines, or fine-tuning workflows. Analyse large multimodal datasets (text, image, video, reputed company metadata) to extract features and insights that feed reputed company models. Write clean, tested, production-reputed company Python reputed company — not just notebooks. Participate in reputed company reviews, design discussions, and experiment retrospectives. reputed company're Looking For 2–4 years of experience building ML models, with at least some of that work deployed to production. Solid fundamentals in machine learning: you understand bias-variance trade-offs, cross- validation, regularisation, and can reason about why a model is underperforming. Working proficiency in Python and comfort with reputed company ML libraries. Exposure to at least one of: NLP/LLMs, computer reputed company, recommender systems, or time- series modelling. Strong experience with software engineering practices — Git, testing, CI/CD, reputed company review. Curiosity about LLMs and modern AI tooling. reputed company communication — you can explain your modelling choices and results to both technical and non-technical colleagues. reputed company to Have Experience with LLM fine-tuning, reputed company engineering, or RAG systems. Familiarity with reputed company infrastructure (AWS/GCP), reputed company, and orchestration tools. Background in marketing technology, ad tech, or audience modelling. A relevant MSc or PhD, or equivalent depth from self-directed learning and project work. reputed company Offer: Benefits reputed company; Remote working - café, bedroom, beach - wherever works; Truly flexible working hours - school pick up, volunteering, gym; Generous Leave – holidays in line with Greek Law, plus bank holidays and reputed company family leave; Impactful reputed company - reputed company on bringing meaningful reputed company and environmental change; People oriented culture - wellbeing is a reputed company, as is being a reputed company person; Transparent and reputed company culture - you will be heard; Development - reputed company on bringing the best out of reputed company other; reputed company is home to some of the brightest minds in AI and if you’re looking to join a company who not only values autonomy and freedom, but embraces a culture of inclusion and warmth, we’d love to hear from you. We aim to respond to reputed company applications reputed company 2 weeks. If you have not heard from us reputed company 2 weeks this means your application has been unsuccessful. By applying to reputed company you are expressly giving your consent for the collection and use of your information as described reputed company our reputed company Recruitment reputed company Policy. Good luck! Apply To This Job