Data Scientist, Checkout.com

Machine Learning

Salary not provided
SQL
AWS
Docker
GCP
Python
Hadoop
Azure
Spark
Junior and Mid level
London

3+ days a week in office

Checkout.com

To enable businesses and their communities to thrive in the digital economy.

Job no longer available

Checkout.com

To enable businesses and their communities to thrive in the digital economy.

1001+ employees

FintechB2BEnterprisePaymentsSaaS

Job no longer available

Salary not provided
SQL
AWS
Docker
GCP
Python
Hadoop
Azure
Spark
Junior and Mid level
London

3+ days a week in office

1001+ employees

FintechB2BEnterprisePaymentsSaaS

Company mission

To enable businesses and their communities to thrive in the digital economy.

Role

Who you are

  • 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

Desirable

  • Experience in fintech and/or payments
  • Familiar 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)

What the job involves

  • Checkout.com is looking for an experienced data scientist to work on research and development of Machine Learning (ML) models for payments optimization
  • These algorithms will be deployed to provide real-time payment optimisations - increasing the acceptance rates with issuing banks and therefore maximising the revenue for both Checkout.com and their merchants
  • You will join an ambitious team of data scientists and engineers who are working to deliver reinforcement 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
  • You will be expected to make contributions to the research & development of new ML models
  • Design and implement experiments to produce actionable insights and improve model performance
  • Collaborate with other data scientists and engineers to productionise ML features/models
  • Write high-quality Python for feature engineering and model training

Salary benchmarks

Our take

The payments industry has exploded in the last decade as eCommerce continues to grow as the use of cash falls. Checkout.com are building the go-to platform for all things related to payments, such as accepting transactions, processing them and detecting fraud. They've secured a steady stream of funding from top investors like Tiger Global Management, and are the strategic payments partner for some of the best known fast-moving brands globally such as Patreon, Dashlane, Udacity, Wise, Sony Electronics, and Klarna.

They focus on large merchants and try to make their product as customisable as possible, so that companies integrate Checkout.com as an infrastructure partner in their product. This increases the stickiness of the product and creates many opportunities for them to generate revenue.

Checkout.com have high quality proprietary technology (their platform has been designed from the outset so they can easily deliver incremental services as they expand their offering) and claim to offer the most comprehensive cross-border payment solution for digital commerce.

Kirsty headshot

Kirsty

Company Specialist

Insights

Rocket List 2021
Top investors

Some candidates hear
back within 2 weeks

37% female employees

-9% employee growth in 12 months

Company

Employee endorsements

People of all backgrounds are welcomed

"DEIB is where Checkout.com takes it to the next level. This company is excellent at building a sense of belonging and celebrating people from all..."

Funding (last 2 of 4 rounds)

Jan 2022

$1bn

SERIES D

Jan 2021

$450m

SERIES C

Total funding: $1.8bn

Company benefits

  • Additional day off on your birthday
  • Learning scheme: 2 x Learning Days per year, financial support for external courses
  • Internal employee communities and social clubs
  • Employee-led community outreach, payroll giving and 2 x volunteering days
  • Private comprehensive health insurance via BUPA (Medical history disregarded)
  • 24 days holiday (plus bank holidays)
  • Great Place to Work accredited in the UK and USA
  • We proudly provide stock options to our high performing employees under our equity program
  • Global Employee Assistance Programme (EAP)
  • Family Forming financial support in partnership with Carrot
  • Leadership Development Training
  • Pension scheme provided via Aegon (We match contributions up to certain amount!)
  • Group Income Protection via AIG
  • Private Dental Insurance provided via BUPA
  • GymPass subscription
  • Season Ticket Loan
  • Cycle to Work Scheme (Up to £5,000)

Company values

  • Aspire
  • Excel
  • Unite

Company HQ

London, UK

Founders

Previously founded NetMerchant, which sold European currencies to US merchants. Background in mathematical engineering.


People progressing

First joined as a Software Engineer, was promoted to Senior Software Engineer after 1.5 years and was then promoted to Engineering Lead 6 months later. Ignas is now a Senior Engineering Manager.

Betty joined in late 2019 as a Product Analyst. After just 8 months Betty was promoted to a Product Manager, before becoming a Senior Product Manager just 10 months later.

Diversity & Inclusion at Checkout.com

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