Find a job 
Featured Companies 
Featured Universities 
For Companies At a Glance
- Tasks: Lead innovative AI projects and design training pipelines for cutting-edge marketing intelligence.
- Company: Join Satalia, a pioneering AI company within WPP, known for its high-autonomy culture.
- Benefits: Enjoy a fully remote role with competitive salary and opportunities for professional growth.
- Other info: Be part of a dynamic team that values creativity and innovation in a fast-paced environment.
- Why this job: Make a real impact in the AI field while working with top-tier clients and technologies.
- Qualifications: Proven experience in data science and strong technical skills in AI and machine learning.
The predicted salary is between 60000 - 80000 £ per year.
Role type: Full time
Location: Greece (fully remote)
Preferred start date: ASAP
About Satalia
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 high-autonomy, decentralised organisation where engineers and scientists own their domains end to end. We are building AI systems that operate on terabyte-scale multimodal datasets to power the next generation of marketing intelligence.
The Role
Our current work includes:
- Agentic pipelines — multi-step LLM systems with tool use, planning, and self-evaluation that automate complex marketing workflows end to end.
- Domain-adapted foundation models — fine-tuning open-weight LLMs (LoRA, RLHF, distillation) on proprietary WPP data for tasks like audience segmentation, creative scoring, and brand-safety classification.
- Retrieval-augmented generation — production RAG systems over large proprietary corpora (embedding models, vector indices, re-ranking) that serve real-time answers to client queries.
- Classical ML at scale — gradient-boosted models, causal inference pipelines, and recommendation engines that run alongside LLM components in hybrid architectures.
You will be the technical lead for projects across these workstreams: scoping the problem, choosing the modelling approach, building the training and evaluation infrastructure, shipping to production, and iterating based on live metrics. You are not handing off a notebook to an engineering team — you ship what you build.
What You'll Do
- 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).
Senior Data Scientist Greece in London employer: Satalia
Contact Detail:
Satalia Recruiting Team
StudySmarter Expert Advice 🤫
We think this is how you could land Senior Data Scientist Greece in London
✨Tip Number 1
Network like a pro! Reach out to people in the industry, attend meetups, and connect with fellow data scientists. You never know who might have the inside scoop on job openings or can refer you directly.
✨Tip Number 2
Show off your skills! Create a portfolio showcasing your projects, especially those related to AI and machine learning. This will give potential employers a taste of what you can do and set you apart from the crowd.
✨Tip Number 3
Prepare for interviews by brushing up on technical questions and case studies relevant to the role. Practice explaining your thought process clearly, as communication is key in a remote setting like this one.
✨Tip Number 4
Don’t forget to apply through our website! It’s the best way to ensure your application gets seen by the right people. Plus, it shows you’re genuinely interested in joining our team at Satalia.
We think you need these skills to ace Senior Data Scientist Greece in London
Some tips for your application 🫡
Tailor Your CV: Make sure your CV is tailored to the Senior Data Scientist role. Highlight relevant experience and skills that match the job description, especially around AI systems and data handling. We want to see how you can contribute to our exciting projects!
Craft a Compelling Cover Letter: Your cover letter is your chance to shine! Use it to explain why you're passionate about AI and how your background aligns with our work at Satalia. Be genuine and let your personality come through – we love seeing the real you!
Showcase Your Projects: If you've worked on any relevant projects, make sure to include them in your application. Whether it's a personal project or something from your previous job, we want to see your hands-on experience with data science and AI systems.
Apply Through Our Website: We encourage you to apply directly through our website. It’s the best way for us to receive your application and ensures you’re considered for the role. Plus, it shows you’re keen on joining our team at Satalia!
How to prepare for a job interview at Satalia
✨Know Your Stuff
Make sure you brush up on the latest trends in AI and data science, especially around LLMs and machine learning techniques. Be ready to discuss your past projects in detail, focusing on your role and the impact of your work.
✨Showcase Your Problem-Solving Skills
Prepare to tackle hypothetical scenarios during the interview. Think about how you would approach complex marketing workflows or model selection. Use the STAR method (Situation, Task, Action, Result) to structure your answers.
✨Demonstrate Your Technical Leadership
Since this role involves being a technical lead, be prepared to discuss how you've led projects in the past. Highlight your experience in scoping problems, building training pipelines, and shipping models to production.
✨Ask Insightful Questions
Interviews are a two-way street! Prepare thoughtful questions about Satalia's projects, team dynamics, and future goals. This shows your genuine interest and helps you assess if the company is the right fit for you.