and risk analysis projects. Drive innovation and resource efficiency, contributing to the continuous development of their consulting offering and analytical capabilities as the company grows. Skills & Experience Python (incl. pandas, numpy, fastapi, dash/plotly) Database development: e.g. SQL, PostgreSQL, SQLAlchemy, data warehousing, ETL pipelines Cloud computing & DevOps: e.g. AWS (EC2, Lambda, S3), Docker, CI/CD, serverless architecture Frontend More ❯
data cycle. • Proven Experience working with AWS data technologies (S3, Redshift, Glue, Lambda, Lake formation, Cloud Formation), GitHub, CI/CD • Coding experience in Apache Spark, Iceberg or Python (Pandas) • Experience in change and release management. • Experience in Database Warehouse design and data modelling • Experience managing Data Migration projects. • Cloud data platform development and deployment. • Experience of performance tuning in More ❯
where you'll build and deploy models end-to-end, owning projects from experimentation to production. A Data Scientist (forecasting) will need to: Building and deploying ML models (Python, Pandas, GCP) Forecasting revenue Exploring clustering techniques Applying NLP to classify ancillary bookings Collaborating with a small, high-calibre team of PhD-level Data Scientists, Engineers, and wider product 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 Cloud experience e.g. GCP A solid foundation in Statistics and ML. Experience with forecasting THE BENEFITS: You will receive a salary, dependent on experience. Salary is up to £70,000 On top of More ❯
