Data Scientist

The engineer coming onboard will be working within a close-knit team based in London and other parts of the world on an industry-first product that will change the way the $300B product licensing market operates. You will be responsible for developing and maintaining data pipelines and creating reporting and dashboards for our team and clients. The ideal candidate will be a well-rounded experienced Data Engineer who enjoys a new challenge, has attention to detail and has experience with Python and SQL.

Key Responsibilities:

- Create and maintain data pipelines using Python and SQL.
- Working with stakeholders to understand business requirements and then implement the code and required reports or dashboards.
- Implement ETL processes to handle large datasets from different sources into a unified and cohesive standard.
- Maintain high standards of data quality, security and governance.

Requirements:

- Coding knowledge and experience with Python and pandas.
- At least 2 years of experience in Data Science/Engineering.
- Experience writing SQL queries.
- Experience with BI tools.
- Bachelor's degree or equivalent experience in a quantitative field (Statistics, Mathematics, Computer Science, Engineering, etc.)
- Excellent English written and verbal communication skills for coordinating across teams.

Will be a plus:

- Experience with the command line and bash scripts.
- Experience integrating external data APIs and scraping websites for data.
- Experience with AWS Quicksight.
- Experience with big data and/or machine learning pipelines.
- Experience with cloud hosting services like AWS or Google Cloud, using services like S3 and data pipelines

We offer:

- An attractive salary package and excellent benefits.
- Engaging and challenging tasks.
- Flexible working hours and the potential for remote work.
- A supportive team with a positive work culture and mentorship.
- Opportunities for personal and professional development.