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- Tasks: Explore datasets, train ML models, and collaborate with experienced data scientists.
- Company: Join Satalia, a leader in AI systems for top-tier clients.
- Benefits: Fully remote work, mentorship, and opportunities for professional growth.
- Why this job: Dive into cutting-edge AI projects and make a real impact in marketing intelligence.
- Qualifications: Passion for data science and eagerness to learn from experts.
The predicted salary is between 28000 - 38000 £ per year.
Role type: Full time
Location: UK (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
- 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.
This is a hands-on role where you will learn by working alongside experienced data scientists on real production systems that serve global clients. We invest heavily in developing our junior hires and will pair you with senior mentors who will help you grow into a strong, independent practitioner.
What You'll Do
- Explore and prepare datasets — cleaning, feature engineering, and exploratory analysis across structured and unstructured data (text, image, tabular).
- Train and evaluate ML models under the guidance of senior scientists, learning how to move from a working prototype to a production-ready model.
Junior Data Scientist UK in London employer: Satalia
Contact Detail:
Satalia Recruiting Team
StudySmarter Expert Advice 🤫
We think this is how you could land Junior Data Scientist UK in London
✨Tip Number 1
Network like a pro! Reach out to people in the industry on LinkedIn or at events. A friendly chat can open doors that a CV just can't.
✨Tip Number 2
Show off your skills! Create a portfolio showcasing your projects, especially those related to data science. It’s a great way to demonstrate what you can do beyond the application.
✨Tip Number 3
Prepare for interviews by practising common data science questions and case studies. We recommend doing mock interviews with friends or using online platforms to get comfortable.
✨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, we love seeing candidates who are proactive!
We think you need these skills to ace Junior Data Scientist UK in London
Some tips for your application 🫡
Tailor Your CV: Make sure your CV is tailored to the Junior Data Scientist role. Highlight relevant skills and experiences that match what we’re looking for, like your experience with ML models or data preparation.
Craft a Compelling Cover Letter: Your cover letter is your chance to shine! Use it to tell us why you’re passionate about data science and how you can contribute to our team. Be genuine and let your personality come through.
Showcase Your Projects: If you’ve worked on any data science projects, whether in school or on your own, make sure to mention them. We love seeing practical applications of your skills, so don’t hold back!
Apply Through Our Website: We encourage you to apply directly through our website. It’s the best way to ensure your application gets into the right hands and shows us you’re serious about joining our team!
How to prepare for a job interview at Satalia
✨Know Your Data
Before the interview, brush up on your understanding of data cleaning, feature engineering, and exploratory analysis. Be ready to discuss your experience with structured and unstructured data, as this role heavily involves working with various data types.
✨Familiarise with ML Concepts
Make sure you’re comfortable discussing machine learning models, especially gradient-boosted models and causal inference. Prepare to explain how you would approach training and evaluating these models, as it shows your readiness for hands-on work.
✨Show Your Curiosity
Satalia values a high-autonomy environment, so demonstrate your eagerness to learn and explore. Ask insightful questions about their current projects, like agentic pipelines or retrieval-augmented generation, to show that you’re genuinely interested in their work.
✨Highlight Teamwork Skills
Since you’ll be paired with senior mentors, emphasise your ability to collaborate and learn from others. Share examples of past experiences where you worked in a team, particularly in data science or related fields, to showcase your adaptability and willingness to grow.