london, south east england, united kingdom Hybrid / WFH Options
Carnegie Consulting Limited
restrictions Experience in programming languages and data structures such as SAS, Python, R, SQL is key. With Python background, particularly familiarity with pandas/polars/pyspark, pytest; understanding of OOP principles; git version control; knowledge of the following frameworks a plus: pydantic, pandera, sphinx Additionally, experience in any or More ❯
Cardiff, South Glamorgan, United Kingdom Hybrid / WFH Options
RVU Co UK
working within a cloud environment. Experience with big data technologies (e.g. Spark, Databricks, Delta Lake, BigQuery). Experience with alternative data technologies (e.g. duckdb, polars, daft). Familiarity with eventing technologies (Event Hubs, Kafka etc ). Deep understanding of file formats and their behaviour such as parquet, delta and iceberg. More ❯
Manchester, Lancashire, United Kingdom Hybrid / WFH Options
MAG (Airports Group)
tools like AWS SageMaker and Lambda, and you'll know your way around Git, SQL, and common Python data science libraries (like pandas/polars, scikit-learn, xgboost/lightGBM, and TensorFlow/PyTorch). Bonus points if you've worked with linear programming, or have experience in time series More ❯
london, south east england, United Kingdom Hybrid / WFH Options
Harrington Starr
forecasting Back-testing and refining models Collaborating with the trading team Working in a fast-moving environment Utilizing a modern data science stack, including Polars, DuckDB, and dbt Requirements: Strong mathematical foundation, ideally in probability, statistics, or machine learning Expertise in data-driven model development Creativity in model design Ability More ❯
