Job Description

Posted on:

October 27, 2024

WHO WE ARE
The Trustly Americas team combines PayWithMyBank, a 2012 Silicon Valley startup, with Trustly AB of Sweden, following their 2019 merger. Our team represents 30 nationalities, serving 8,300 merchants, connecting to 650 million consumers, and 12,000 banks across 33 countries. Our global network processes over $42 billion annually.
Our digital account-to-account platform redefines the speed, simplicity, and security of payments. Consumers pay for purchases by simply signing into their bank accounts, bypassing the card networks, and never leaving a merchant’s site or app – no credit card numbers or separate account setup necessary.
With U.S. headquarters in Silicon Valley and global headquarters in Stockholm, Sweden, we are a culturally diverse team also spread across Canada, Brazil, UK, Germany, Spain, Portugal, Malta, and more! Across North America, we have embraced a work from anywhere policy throughout the continental US and Canada.
It’s a great time to join Trustly as the Americas team is growing. If you thrive in an entrepreneurially minded, fast-paced, casual, professional, positive, and rewarding work environment, check us out!

ABOUT THE ROLE
As Trustly's Principal Data Scientist, you will lead the organization's data science initiatives and provide strategic direction on how data is utilized across the company. In this critical role, you will be responsible for defining and executing the data science roadmap, driving innovation in machine learning, and ensuring Trustly's data assets are leveraged to their fullest potential to enhance product offerings and business decisions.
You'll work closely with senior leadership, including engineering, product, and operations teams, to build a data-driven culture and deliver advanced analytical solutions that address core business challenges. This is a highly visible role that requires a blend of technical expertise, leadership, and business acumen.

WHO YOU’LL WORK WITH
The Data Science team at Trustly operates at the intersection of data, technology, and product. We are passionate about leveraging data to drive innovation in payment processing and to enhance security and user experience. You will collaborate closely with Product and Engineering teams to deliver solutions that have a tangible impact on our business.

WHAT YOU’LL DO
- Define and execute the overall data science and AI strategy for Trustly.
- Develop and deploy machine learning models that enhance Trustly's products and services.
- Collaborate with key stakeholders to translate business goals into data-driven solutions.
- Oversee the development and implementation of advanced analytics tools and techniques.
- Drive the adoption of AI and machine learning technologies across the organization.
- Ensure the company’s data assets are leveraged optimally for strategic and operational excellence.
- Monitor and improve data governance, security, and compliance across all data-related activities.
- Stay on the cutting edge of data science trends and technologies, integrating new methodologies to maintain Trustly’s competitive edge.

WHO YOU ARE
- 10+ years of experience in data science, machine learning, AI, or a related field.
- Deep expertise in machine learning, artificial intelligence, statistical analysis, and data mining techniques.
- Proficient in programming languages such as Python, R, or Scala, with experience in data science frameworks like TensorFlow, PyTorch, and others.
- Strong business acumen with the ability to translate data insights into actionable business strategies.
- Excellent communication skills, capable of presenting complex data insights to non-technical stakeholders.
- Passionate about leveraging data to solve real-world business problems and drive innovation.
- A visionary leader comfortable driving data strategy at the executive level.

Secret insights

Trustly is scaling up with 20% headcount growth to 1,086. Engineering talent is up 30%, showing they prioritize tech. HR has also grown 15%, indicating a strong focus on employee care. Good for AI job seekers!