Data Scientist

Trust Payments is an MFSA-regulated company in Malta and an FCA-regulated company in the UK. We provide a range of payments and commerce solutions, with market-leading technology and data insights. Our global offices cater to the most demanding business sectors, including retail, travel, hospitality, forex, and financial services.

Driving value for our clients and demonstrating genuine care for their success is a core value of ours. We also believe in striving to build a better, more sustainable tomorrow and conducting our business ethically, driving social and environmental change. We have a passionate, collaborative, and diverse culture that recognises that every employee contributes to our business success.

Trust Payments has an exciting opportunity for a Data Scientist to join our team.

Location: Hybrid- London, United Kingdom (Flexible on the location in the UK)

Salary: Competitive + Benefits

How will you make an impact in this role?

Trust Payments is seeking a Data Scientist to join our growing Data Science Team. This is a mid-level role suited to someone with demonstrable, hands-on experience applying data science techniques in a commercial environment. You will design, build, and improve data products that address complex business problems, applying both traditional modelling techniques and emerging (Gen)AI approaches. Working across new and existing data sources, you will deliver analytical solutions that create real business value across the organisation.

What We Expect of You, Day To Day:

• Design, build, and maintain data science products and models as part of Trust Payments' core product suite.
• Engage directly with clients to understand their requirements and present data-driven solutions.
• Identify, analyse, and interpret trends and patterns in complex datasets.
• Identify and develop opportunities to build new data-driven products and services.
• Collaborate with Payments, Loyalty, Web, and Retail product teams to uncover data patterns, inform customer strategy, and support product monetisation.
• Work alongside ML, Data Engineering, Automation, and Software Development teams to deliver end-to-end solutions.
• Contribute to a data science community of practice within the business, supporting a data-native culture and helping colleagues develop their skills.
• Keep up to date with emerging AI and machine learning developments, sharing insights with the wider team.

Qualifications

Essential:

• Demonstrable experience with Machine Learning, Python, SQL, generative AI, and data visualisation techniques.
• Excellent analytical and technical problem-solving skills.
• Ability to translate complex data concepts into clear, actionable business language.
• A collaborative approach, comfortable working across both technical and non-technical teams.
• A curious mindset with an eye for identifying opportunities to create value from data.

Desirable:

• Experience with cloud-native architecture, including AWS services, ETL/ELT processes, CI/CD pipelines, and version control (Git).
• Familiarity with Amazon Bedrock and Amazon QuickSight.
• Experience in financial services or FinTech, ideally within payments (gateways, acquiring, and processing).

We offer comprehensive benefits to support our team members and their families' well-being. Our robust benefits package includes (subject to local office benefits policy):

• Be part of a dynamic, market-leading Fintech experiencing rapid growth.
• Flexible work arrangements tailored to role requirements and business needs.
• Comprehensive wellness initiatives, including mental health resources supported by internally qualified mental health first aiders.
• Extensive leave provisions, encompassing annual, volunteering, and birthday allowances.
• Progressive family-oriented policies and benefits, including Maternity, Paternity and Adoption leave.
• Robust compensation package, including pension scheme, healthcare plans, and life assurance.
• Regular corporate events fostering team cohesion and company culture.
• Diverse company culture and global working environment.
• Continuous professional development and career advancement opportunities.

Offer of employment with Trust Payments is conditioned upon the successful completion of a background verification check, subject to applicable laws and regulations.

Next Steps: Ready to revolutionize fintech? If you're excited about this opportunity, we'd love to hear from you! Our Talent Acquisition Team will review your application promptly. We'll contact successful candidates via email and phone to discuss the next steps, including our inclusive interview process.

Trust Payments is an Equal Opportunities Employer. We are a growing business with an aspiration to create a truly inclusive working environment, where each employee can reach their full potential. We celebrate the differences that exist within our teams. We encourage our people to bring their own opinions and thoughts to work, to be authentic and help us to innovate.

We are committed to equal employment opportunity for all, regardless of race, heritage, religion, gender, national origin, sexual orientation, age, citizenship, marital status, disability, gender identity or any other protected characteristic.

If you require reasonable adjustments to be made to enable you to apply for a role with us or wish to provide feedback about the accessibility of this website, please contact the Talent Acquisition Team.

Trust Payments may use automated tools during our recruitment process, including skills assessments and application screening questions. All decisions involve human oversight and comply with data protection legislation. Candidates can request human review of any automated screening decisions.

To submit your CV for this opportunity, please complete the application form and click 'Apply' now.