We are looking for a

Senior Data Scientist

who enjoys seeing their work used as part of real-life solutions. Not only will your work directly contribute to our client deliverables, but you will have the opportunity to see the process through from solution design to deployment, working in close collaboration with our wider team of Data Engineers and Data Analysts.

We''re looking for someone with a cooperative, can-do attitude who can build high-quality data science solutions.Actively contribute to the design, development, testing, and evaluation of data science solutionsTrain and deploy state-of-the-art machine learning and reinforcement learning modelsBuild AI systems using Large Language ModelsBuild processes for extracting, cleaning and transforming data (SQL / Python)Ad-hoc data mining for insights using Python + Jupyter notebooksPresent insights and predictions in live dashboards using Tableau / PowerBIBe an example of data science best-practice (e.g., Git / Docker / cloud deployment)Contribute to proposals for exciting new data science opportunitiesProvide direction and mentoring to more junior data scientistsDegree in a quantitative field such as mathematics, statistics or data science (PhD in physics highly desirable)Experience of proactively contributing to the design, development, testing, and deployment of data science and AI solutionsExperience and understanding of applied machine learning techniques in Python (e.g., xgboost, regression, decision trees)Practical knowledge and experience of developing AI solutions using advanced machine learning techniques (e.g., Experience of working collaboratively as part of a data science team, using tools like Git to adhere to established data science and AI best practicesExperience of using different analysis techniques to draw insight from data, using tools such as Python and SQLExcellent Python skills, including relevant libraries for data analysis and machine learning (e.g., planning, time management)Stage 1: 20 min video call with the Hiring ManagerStage 2: 90 min F2F interview including technical exercise, in our London officeai#