Data Scientist

As a data scientist you will be responsible for keeping up to date with the latest big data research in the maritime industry and applying this and your data science knowledge to build intelligent data driven features. It's an exciting role that requires the analysis of different types of geospatial datasets, with many different potential applications of machine learning. The role is suited to a data scientist who also has a keen interest in data engineering as you will be contributing to the design and development of systems to support data processing and analysis.

The Role

• Research ideas and keep up to date with developments in the big data and transport industry
• Use analytical techniques including machine learning to develop new data driven features.
• Improve existing algorithms and models.
• Conduct analyses to assist the business with operational questions or to produce insights that can improve our product.
• Aid with onboarding and analysis of new datasets.
• Contribute to the design and maintenance of the data infrastructure allowing us to process, store and analyse data.
• Liaise with our architectural team to ensure that features developed in the research environment can be integrated into our product.
• Collaborate with the development team to operationalise new algorithms, models etc.

• Experience of working with multiple stakeholders in taking a solution from an idea to gathering requirements and implementation.
• Must have a can-do attitude.
• Understanding of machine learning and statistical techniques (k-NN, Naive Bayes, SVM, Random Forests, neural networks etc.).
• Experience with big data tools such as Hadoop and Spark.
• Knowledge of different databases and storage solutions including SQL and NoSQL.
• Knowledge of different technologies to build a scalable data infrastructure such as Kafka, Rabbit, Docker and Airflow are desirable.
• Data analysis skills using R or Python.
• Data visualisation skills such as Tableau/Power BI.
• Geospatial analysis skills would be useful.
• Experience with AWS (S3/EMR/Athena/Glue) would be useful.