Data Scientist

Company:
Location: London

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We're Checkout.com

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.

Checkout.com 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 Checkout.com’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 Checkout.com’s merchants, at scale. Your work will significantly move the needle within a product area that has high strategic importance to Checkout.com.

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 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).
#LI-GW1

What we stand for

At Checkout.com, everything starts with our values, including the experience we offer our people.

#Aspire
We supercharge your professional growth with career development programs and leadership training. You can learn your way, with tailored pathways and online platforms. And be inspired at relevant conferences.

#Excel
We don't stop at 'good' here. We strive for excellence amongst our teams every day and recognize colleagues who take it to the next level through our quarterly peer-nominated Hero awards.

#Unite
We're proud of our global connections and inclusive environment. So we champion this through our colleague-led community groups and celebrate many cultural events together.

Want to see us in action?

Take a peek inside here
.

More about Checkout.com
We empower businesses to adapt, innovate and thrive with the connected payments they deserve. Our technology makes payments seamless. We provide the fastest, most reliable payments in more than 150 currencies, with in-country acquiring, world-class fraud filters and reporting, through one API. And we can accept all major international credit and debit cards, as well as popular alternative and local payment methods. Checkout.com launched in 2012, and we now have a team of 1000 people across 17 international offices. To date, we’ve raised a total of $830 million, with our recent Series C valuing us at $15 billion.

We believe in equal opportunities
Checkout.com is an equal opportunities employer. We welcome applications from all members of society irrespective of age, sex, disability, sexual orientation, race, religion, or belief. We make recruiting decisions based on your experience, skills and personality. We believe that employing a diverse workforce is the right thing to do and is central to our success.

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