Data Scientist

Strategy – Business Intelligence
Permanent Full-time
About us

Launched in 2012, is a leading international provider of online payment solutions. is built on 100% proprietary technology and handles every part of the payment process, providing complete transparency across the entire payment value chain.

We currently process 150+ currencies and offer access to all international cards and popular local payment methods to merchants through one integration.

Customers in our portfolio include international businesses like Samsung, Transferwise, Hopper, Virgin and Adidas. Our mission is to partner with smart businesses to optimise their payments, increase revenue and meet the dynamic needs of their customers. 

We are building a unique work environment where our people aspire to solve complex problems and deliver valuable solutions. We believe that excellence can be achieved through a dynamic culture driven by collaboration and teamwork.

In May 2019, we raised $230m in what is Europe’s largest ever fintech Series A round, and globally the third largest fintech Series A round of all time.

About the Role

You will work with our transaction data to help us better understand our merchants’ customer behaviours and develop machine learning models to detect fraudulent transactions by providing near-real-time transaction risk predictions.

Key Responsibilities

    • Work with distributed computing technologies (e.g. Spark, Dask) to: conduct exploratory analysis to test hypotheses, engineer ML features, and train/evaluate ML models
    • Design, implement, and interpret experiments to produce actionable insights an improve model performance
    • Write high-quality Python for feature engineering and model training
    • Drive the collection of new data and enrichment of existing data sources

About You

    • Strong understanding of: machine learning, probability, statistics
    • Experience developing machine learning models to solve business problems
    • Strong knowledge of scientific methods and experimental design
    • Familiar with distributed general-purpose cluster-computing (e.g. Spark, Dask, Hadoop)
    • Able to write high quality Python code
    • Experience with SQL databases and key-value stores (NoSQL)
    • Experience working with Jupyter Notebooks

and the 'nice to have'

    • Experience in FinTech and/or payments
    • Experience with Docker
    • Experience with AWS or at least another common cloud platform (GCP/Azure)
    • Familiar with the unix shell, and shell scripting (for automating tasks)
    • Experience with C# is an equal opportunities employer. We believe passionately that employing a diverse workforce is central to our success. We make recruiting decisions based on your experience, skills and personality. We welcome applications from all members of society irrespective of age, sex, disability, sexual orientation, race, religion or belief. Due to the numerous amount of application received, only the ones corresponding to this job profile will be contacted. If you have not been contacted within 3 weeks please deem your application as unsuccessful.

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