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Data Scientist

Closing date
14 Jun 2021

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Job Details

We're building the connected finance businesses deserve. Unleashing them with tomorrow's technology, today. Our flexible payments solutions help global enterprises - like Samsung, Deliveroo and Adidas - launch new products and create experiences customers love. And it's not just what we build that makes us different. It's how.
We liberate smart, passionate people to collaborate, innovate and do their best work - faster. That's why we're one of the most valuable fintech firms around. But we're just getting started. By cutting through financial complexity, we'll empower companies to change the world. Join us. Unlock your potential. Build tomorrow, today!

*About the role:*
[]( is looking for a Data Scientist to work on research and development of Machine Learning (ML) models for fraud detection. These algorithms will be deployed to provide near-real-time transaction risk predictions, which []('s merchants use to make smart payment routing decisions based on their risk appetite. You will join an ambitious team of data scientists and engineers who are working to deliver fraud detection ML models to []('s merchants, at scale. Your work will significantly move the needle within a product area that has high strategic importance to [](


* 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 and 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:*
* At least 2 years experience developing machine learning models to solve business problems
* Strong understanding of: machine learning, probability and statistics
* Experience applying scientific methods and thoughtful experimental design
* Able to write high quality Python code
* Experience with SQL databases
* Experience working with Jupyter Notebooks

*Nice to have:*
* Experience in fintech and/or payments
* Familair with distributed general-purpose cluster-computing (e.g. Spark, Dask, Hadoop)
* 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)

* Competitive Salary & Performance Bonus
* Cutting Edge Technology & Latest IT tools
* Company retreat (surprise annual trips)
* Flexible working, 24 days of paid leave and Birthday off
* Season Ticket Loan, Cycle to Work Scheme, comprehensive benefit plans
* Internal community groups and cultural events
* Employee-led community outreach, payroll giving and a volunteering day
* A global wellness programme and private health insurance
* Tailored career development and learning pathways
* Peer recognition program and quarterly Hero Awards

* Recruiter Screen
* Hiring Manager Screen
* Test
* Final Interview
Python, Machine LearningPython, Machine Learning
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