Data Scientist, Mollie

Salary not provided
Python
Linux
Scikit-Learn
Sagemaker
Git
Junior and Mid level
Amsterdam
Mollie

Payment service provider

Be an early applicant

Mollie

Payment service provider

501-1000 employees

FintechB2BPaymentsSaaSAPI

Be an early applicant

Salary not provided
Python
Linux
Scikit-Learn
Sagemaker
Git
Junior and Mid level
Amsterdam

501-1000 employees

FintechB2BPaymentsSaaSAPI

Company mission

To make payments and money management effortless for every business in Europe.

Role

Who you are

  • 1-3 years experience in data science and machine learning, including the development of models that successfully went to production
  • You are an expert in using applied ML on structured data, in particular regression and classification problems using boosted decision tree (BDT) algorithms
  • You have basic experience with Generative AI, both large language models (LLMs) and embedding models
  • You approach complex problems in a structured way, always looking for the simplest, pragmatic solutions
  • You understand the technical and non-technical constraints of a business problem
  • You are detail-oriented but can also quickly shift priorities if required
  • You enjoy working collaboratively in a cross-functional & distributed team environment
  • You have good presentation skills and can communicate to a wide variety of audiences
  • You have a strong foundation in statistics
  • You have solid software engineering skills and love coding in Python
  • You know your way around a linux shell and are comfortable with Git for version control
  • You know the scikit-learn API inside and out
  • You are comfortable in an agile Way of Working, with Scrum or similar frameworks

Desirable

  • Experience with Google Cloud Platform Vertex AI or similar (e.g. SageMaker)
  • Experience in the financial services industry (banking or fintech)
  • Familiarity with DevOps & MLOps principles
  • M.Sc. or Ph.D. in Machine Learning, Computer Science, Physics, or similar

What the job involves

  • We are looking for a Data Scientist to join our growing Machine Learning Craft at Mollie. Our Craft is set up as a central entity that provides ML and GenAI capabilities across Mollie.
  • We primarily develop predictive ML models that provide decision intelligence to our colleagues in various Domains such as Monitoring (risk & fraud), Payments, Financial Services, Merchant Experience & GTM.
  • We also maintain a cloud-based ML Platform, which we use for both model development and deployment
  • This is a hands-on role, where you will spend most of your time developing in Python together with our team of DSs and MLEs.
  • You will also be interfacing directly with subject matter experts and stakeholders, e.g. to evaluate the feasibility of potential ML use cases or to explain how your model works during a Team Review
  • This role is based at Mollie’s Amsterdam headquarters. You will be part of a geographically-distributed team (Amsterdam/Lisbon/Milan) that is comfortable collaborating virtually & hybrid
  • Develop and maintain ML models for a range of use cases across Mollie. Ensure these models smoothly reach production and bring measurable value to our stakeholders
  • Perform efficient exploratory data analysis (EDA) and present key insights to colleagues & stakeholders
  • Adopt best practices and standards for the development of robust ML models
  • Collaborate closely with MLEs to prepare your code & model for production using our ML Platform
  • Contribute regularly to our bi-weekly DS Community of Practice (knowledge sharing sessions)

Our take

Mollie, an Amsterdam-based startup, enables businesses to integrate payment methods into websites or apps via an API, improving upon the difficult options offered by traditional banks. Focused on the SMB market, Mollie serves over 120,000 businesses, including Deliveroo, Unicef, and Acer.

Recent funding supported international expansion and the launch of Mollie Capital in the UK, providing SME merchants quick and flexible funding up to £250,000. This service has already provided over €50 million in loans to more than 5,000 SMEs in Europe.

In 2023, Mollie reported a 36% increase in net revenue to €99 million, driven by larger customers and new products. Operational costs fell by 30% due to AI-driven efficiencies and the launch of MollieGPT for customer support. With continued international expansion and innovative products, Mollie aims to simplify financial processes for businesses of all sizes.

Kirsty headshot

Kirsty

Company Specialist at Welcome to the Jungle

Insights

Top investors

Some candidates hear
back within 2 weeks

76% employee growth in 12 months

Company

Employee endorsements

Career progression

"The paths for progression are clear at Mollie. If you want to grow in a specific area or as a manager, there is scope to do so. Because the company..."

Funding (last 2 of 3 rounds)

Jun 2021

$722.6m

SERIES C

Sep 2020

$106m

SERIES B

Total funding: $855.8m

Company benefits

  • Noise cancelling headphones
  • MacBook
  • Birthday off
  • Complimentary baby days
  • 20 days working from abroad
  • 25 holiday days
  • Commute reimbursement
  • Work from home budget
  • Bike lease plan
  • Internet allowance
  • In-office lunch
  • Wellbeing program
  • Pension contribution
  • Health insurance
  • Bonus scheme
  • Equity plans
  • Referral bonus
  • Learning platform
  • Mentor program

Company values

  • Be loved: We genuinely seek out what’s best for our customers, partners, and people. We treat everyone with respect
  • Be bold: We do things because they are the right things to do. We have the courage to take risks and challenge the status quo. We always strive to be the best version of ourselves
  • Be authentic: We take pride in being our true selves. We believe that every person matters. We dare to make tough decisions and know that small things can make a big difference

Company HQ

Grachtengordel-West, Amsterdam, Netherlands

Leadership

Koen Köppen

(CEO, not founder)

Previously worked at Klarna in roles including Director of Global Solutions, VP of Product, and CTO.

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