Travtus is a London based Artificial Intelligence Research & Development company which is aiming to combine a long standing experience in Real Estate Operations with the latest research in Deep Learning and Conversational Interface design to bring automation to the Real Estate market.
You may not have heard of FIS Global but you will both have heard and used the global payment gateway Worldpay who they acquired last year.
This is a great start to head up a team and drive real business value by delivering powerful, embedded predictive analytic solutions and by providing insight into customer, cardholder, transactional and financial behaviour.
causaLens are looking for a motivated and high-achieving Data Scientist to join our team working on Automated Machine Learning for time-series. This is a full-time placement with significant opportunities for personal development.
causaLens leads causal AI research. Causality is a major step towards developing true AI. Our technology transforms organisations by autonomously discovering valuable insights that optimise business outcomes. Our flagship product, time-series prediction engine, goes beyond both traditional machine learning and AutoML. It has become the industry standard in the financial sector and is increasingly being used in a wide range of industries. causaLens is run by top scientists and engineers, 70% holding a PhD in a quantitative field.
Signal use AI and Machine Learning to our advantage to unlock market intelligence and insight from unstructured (textual) data.
We enable organisations to explain complex information data challenges thus providing them with an advantage over other potential competitors. As a core member of the team and growth of the platform you will be expected to help improve and develop new products. As we look to improve automation and add new features.
The ideal candidate will have a strong data science background with a PhD in a related field (e.g., Machine Learning, Artificial Intelligence, Natural Language Processing, Information Retrieval,…).
Desirable skills and qualifications: PhD in a field related to Data Science🎓 Knowledge and practical usage of machine learning libraries/frameworks (e.g., SpaCy, Scikit-Learn, TensorFlow, Vowpal Wabbit, Gensim, …)
Development experience (Python preferred) Strong written and verbal communication skills
Ability to supervise and coordinate MSc students and external collaborations Published work on major international conferences or Journals 💼
We are a team on a mission, to put accessible and affordable healthcare in the hands of every person on earth. Our mission is bold and ambitious, and it’s one that’s shared by our team who shares our values, to dream big, build fast and be brilliant.
• 3-5 years of experience working in a Data Science role, with a proven track record of delivery on data science projects
• Expertise in translating business problems into data / mathematical problems, solving them and using the solutions to drive change in the business
• Experience working with Data Engineering Teams and an understanding of how data flows in your organisations Expert-level Technical Skills
• Highly proficient in Python (or similar experience with R), with 4+ years of experience of writing production-level code to solve analytical problems in a commercial environment