Data Scientist

Full time

Employment Information

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We are investing massively in developing next-generation AI tools for multimodal datasets and a wide range of applications. We are building large scale, enterprise grade solutions and serving these innovations to our clients and WPP agency partners.

As a member of our data science team, you will work alongside world-class talent in an environment that not only fosters innovation but also personal and professional growth. You will be at the forefront of AI, leveraging multimodal datasets to build groundbreaking solutions over a multi-year roadmap. Your contributions will directly shape cutting-edge AI products and services that make a tangible impact for FTSE 100 clients.

It is a great time to be joining as the industry transforms itself in what we believe is a generational moment for technology and AI.

We are hiring across all experience levels in data science, from entry-level to seasoned professionals, and offer competitive salaries commensurate with experience and skills.


  • Leverage state-of-the-art algorithms and libraries to solve complex problems for our clients.
  • Collaborate with Satalia and WPP Product teams to design and implement advanced AI features.
  • Analyse large multi-modal datasets to extract insights and features that can be used by downstream models and applications.
  • Develop and optimise traditional machine learning models for supervised and unsupervised learning, as well as state-of-the-art AI models for tasks such as image-to-text, text-to-image, question-answering, and summarization.
  • Stay abreast of the latest trends in AI research and integrate them into our products and services
  • Communicate technical challenges and solutions to non-technical stakeholders and team members.


  • Proficiency with the Python programming language.
  • Familiarity with agile software development practices such as code reviews, unit testing, and git.
  • Hands-on experience with libraries and frameworks such as Hugging Face, NLTK, SpaCy, TensorFlow, PyTorch, and Scikit-Learn.
  • Strong understanding of deep learning architectures, such as transformers, recurrent and convolutional neural networks, and attention-mechanisms.
  • Hands-on Experience with text, visual or spatiotemporal data.
  • Familiarity with pre-trained AI models such as BERT, RoBERTa, GPT, CLIP, BLIP, etc.


  • Development - focus on bringing the best out of each other;
  • Remote working - café, bedroom, beach - wherever works;
  • Impactful projects - focus on bringing meaningful social and environmental change;
  • People oriented culture - wellbeing is a priority, as is being a nice person;
  • Truly flexible working hours - school pick up, volunteering, gym;
  • Transparent and open culture - you will be heard.
  • Annual bonus - when Satalia does well, we all do well;

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