one or more of the following database systems - DynamoDB, DocumentDB, MongoDB Demonstrated expertise in unit testing and tools - JUnit, Mockito, PyTest, Selenium. Strong working knowledge of the PyData stack - pandas, NumPy for data manipulation; Jupyter Notebooks for experimentation; matplotlib/Seaborn for basic visualisation. Experience with data analysis and troubleshooting data-related issues. Knowledge of design patterns and software architectures More ❯
types and structures Unit testing using pytest Proficiency in SQL (we use MySQL, but experience with other SQL platforms is welcome). Experience with data manipulation and transformation using Pandas . Familiarity with ETL/ELT processes and data warehousing concepts. Understanding of cloud platforms (AWS or Azure). Basic knowledge of Git and GitHub for version control and collaboration. More ❯
types and structures Unit testing using pytest Proficiency in SQL (we use MySQL, but experience with other SQL platforms is welcome). Experience with data manipulation and transformation using Pandas . Familiarity with ETL/ELT processes and data warehousing concepts. Understanding of cloud platforms (AWS or Azure). Basic knowledge of Git and GitHub for version control and collaboration. More ❯
driven problems with real-world impact – this is for you. What You'll Do Conduct deep research into pricing optimisation strategies for hotel revenue Develop models in Python using Pandas, statistical tooling, and custom algorithms Translate real-world pricing problems into mathematical and statistical frameworks Work independently and contribute to a culture of intellectual rigor and curiosity Ideal Profile PhD … related quantitative field (Master’s with significant pricing optimisation experience considered) Strong foundation in statistical modelling, optimisation, and machine learning fundamentals Fluent in Python and data science tools (e.g., Pandas, NumPy) Prior experience in revenue management or pricing is a plus, but not required Interview Process Intro chat Take-home exercise and presentation Sign off chat More ❯
will set and optimise prices, using statistical techniques and bespoke modelling solutions. A Data Scientist (Pricing) will need to: Build prototypes and conduct in-depth experimentation using Python and Pandas Research and develop new pricing models Apply statistical and machine learning techniques Explore and test data-driven approaches to price sensitivity and elasticity Collaborate with a highly technical team YOUR … SKILLS AND EXPERIENCE: A successful Data Scientist will have the following skills and experience: MSc or PhD level of education Strong Python skills and experience with Pandas A solid foundation in Statistics and ML. Experience with pricing THE BENEFITS: You will receive a salary, dependent on experience. Salary is up to £70,000 On top of the salary there are More ❯
