Senior Data Scientist

Emploi pas sur LinkedIn

🕒 il y a 3 mois

🇬🇧 Royaume-Uni – Télétravail

⏰ Temps Plein

🟠 Senior

📊 Data Scientist

🇬🇧 Parrain de Visa de Travailleur Qualifié UK

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👻 Score fantôme 20%

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🗣️🇺🇸🇬🇧 Anglais requis

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Logo of Satalia

Satalia

51 - 200 employés

Fondée en 2010

💼 Conseil

📣 Marketing

📦 Logistique

💰 Grant en 2016-02

Consulting • Marketing • Logistics

Satalia est une entreprise qui utilise des technologies avancées pour optimiser et améliorer diverses opérations commerciales. Ils fournissent une plateforme de développement cloud et de services basés sur les données, employant des architectes cloud et des data scientists pour proposer des solutions innovantes. Satalia fonctionne à distance, avec des implantations en Grèce, à Londres, à Kaunas et à Vienne. Ils se concentrent sur l'intégration de l'analyse et des stratégies marketing pour améliorer l'expérience utilisateur et la fonctionnalité sur leurs plateformes.

Description

• Design and run training pipelines - data curation, model selection, hyperparameter search, ablation studies - and be accountable for model quality on live traffic • Build and maintain production inference services (latency budgets, batching strategies, quantisation, monitoring) that serve WPP's global client base • Architect agentic AI systems: define tool schemas, orchestration logic, evaluation criteria, and failure modes for multi-step LLM workflows • Work across the stack when needed - write the data pipeline, train the model, build the evaluation harness, deploy the service, and debug it when metrics drift • Set technical direction for your workstream - write design docs, make build-vs-buy decisions, and defend your approach with evidence • Mentor and set the quality standards for junior scientists

🎯 Exigences

• 5+ years shipping ML models to production • Deep, demonstrable expertise in at least one of: NLP/LLMs, computer vision, recommender systems, or causal inference • Hands-on experience with LLM fine-tuning (LoRA, RLHF, DPO) or building LLM-powered systems (agents, RAG, structured generation) • Strong software engineering habits - version control, testing, code review, CI/CD • Comfort with ambiguity • Clear communication - you can write a one-page design doc that is useful for both product managers and staff engineers. • Nice to Have: Experience with multimodal models • Background in marketing technology, ad tech, audience modelling, or media mix modelling • Publications at top venues (NeurIPS, ICML, ACL, CVPR) or meaningful open-source contributions

🏖️ Avantages

• enhanced pension • life assurance • income protection • private healthcare • Remote working - café, bedroom, beach - wherever works • Truly flexible working hours - school pick up, volunteering, gym • Generous Leave - 27 days oliday plus bank holidays and enhanced family leave • Annual bonus - when Satalia does well, we all do well • Impactful projects - focus on bringing meaningful social and environmental change • People oriented culture - wellbeing is a priority, as is being a nice person • Transparent and open culture - you will be heard • Development - focus on bringing the best out of each other

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