Fixing betting with a core focus on price and product
sports betting • exchange platform • betting exchange • prediction market • fintech
June 3
🏢 In-office - London
Airflow
AWS
Chef
Docker
ETL
Flask
Grafana
Jenkins
Kafka
Kubernetes
Numpy
Pandas
Postgres
Prometheus
Python
Scikit-Learn
Fixing betting with a core focus on price and product
sports betting • exchange platform • betting exchange • prediction market • fintech
• As a member of the data team, your responsibilities will include contributions to: • Developing and maintaining our Data ETL pipelines, some of which are real-time. The pipelines are fundamental to helping teams and stakeholders understand and drive business direction. Data components can also be user-facing e.g. sending notifications to users; • Ensuring our data lake is kept in a healthy state, particularly our data warehouses: Redshift and Bigquery; • Developing and maintaining Flask services and Postgres databases within the Data team to provide access to data or manage certain business entities relevant to Data. • Assisting the different teams in the company with reporting, especially when it comes to automated reporting pipelines. • Doing data exploration and training & deploying ML models used to perform different kinds of user segmentation, detect operational anomalies or estimate important business quantities. In particular, maintain and improve our existing recommender service that provides users with suggestions on new sport competitions.
• 2+ years of experience • You have an understanding of developing ETL pipelines using Python frameworks such as luigi or airflow; • You have experience with the development of Python-based REST APIs / services and their integration with databases (e.g. Postgres); • You are familiar with the key tools of the Python data science stack, e.g. Pandas, Numpy and scikit-learn; • Some experience with training and deploying ML models; • You enjoy writing elegant, well-tested and maintainable code; • You are a team player that enjoys contributing to the success of the team in a proactive and friendly environment; • You have a bachelor’s in Computer Science, Math or equivalent field, or possess relevant experience.
• Stock options which vests over 4 years • Pension scheme - An impressive pension scheme via Aviva. We will match 6% if you choose the same • Health insurance • Fresh fruit and snacks provided in the office everyday! (tea, coffee, soft drinks also included) • We’re a member of a cycle-to-work scheme • We want to continue to invest in all our employees and do so by providing a £1000 yearly education budget that can be used on courses, conferences, books or training • 25 days paid holiday + bank holidays to enjoy - you have the choice to carry over 5 days to the next year! • Flexible working - we want to provide a hybrid model approach to working and provide you with 2 days a week working from home. • 20 days a year of global working - we provide the ability to work from anywhere in the world for up to 20 days a year. • We will provide you lunch everyday in the office - you don’t need to worry about feeding your belly as we have it sorted with top quality food served by our in-house Chef Alex!
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