At a Glance
- Tasks: Design and build data science products to solve complex business challenges.
- Company: Join Trust Payments, a forward-thinking company with a focus on inclusivity.
- Benefits: Enjoy flexible work, wellness initiatives, and a robust compensation package.
- Other info: Be part of a diverse team with opportunities for continuous professional growth.
- Why this job: Make a real impact using AI and data to drive business value.
- Qualifications: Experience in Machine Learning, Python, SQL, and data visualisation is essential.
The predicted salary is between 50000 - 60000 € per year.
Location: Hybrid- London, United Kingdom (Flexible on the location in the UK)
Salary: Competitive + Benefits
Role Overview
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.
Responsibilities
- 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
- 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
- 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)
Benefits
- 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
Equal Opportunities Statement
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.
Automated Assessment Notice
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.
Data Scientist employer: Trust Payments
Trust Payments is an exceptional employer that fosters a collaborative and inclusive work culture, offering flexible hybrid working arrangements in London. With a strong focus on employee well-being, comprehensive benefits, and continuous professional development, we empower our Data Scientists to innovate and grow within a diverse global environment, making a meaningful impact in the FinTech sector.
StudySmarter Expert Advice🤫
We think this is how you could land Data Scientist
✨Tip Number 1
Network like a pro! Reach out to people in the industry, attend meetups, and connect with fellow data enthusiasts. You never know who might have the inside scoop on job openings or can refer you directly.
✨Tip Number 2
Show off your skills! Create a portfolio showcasing your data science projects, especially those using Python, SQL, and machine learning. This will give potential employers a taste of what you can do and set you apart from the crowd.
✨Tip Number 3
Prepare for interviews by brushing up on your technical knowledge and problem-solving skills. Practice explaining complex data concepts in simple terms, as this is key to impressing both technical and non-technical teams.
✨Tip Number 4
Don’t forget to apply through our website! It’s the best way to ensure your application gets seen by the right people. Plus, it shows you’re genuinely interested in joining our team at Trust Payments.
We think you need these skills to ace Data Scientist
Some tips for your application 🫡
Tailor Your CV:Make sure your CV is tailored to the Data Scientist role. Highlight your experience with Machine Learning, Python, and SQL, and don’t forget to mention any relevant projects that showcase your skills in a commercial environment.
Craft a Compelling Cover Letter:Your cover letter is your chance to shine! Use it to explain why you’re passionate about data science and how your skills can help Trust Payments tackle complex business problems. Keep it engaging and personal!
Showcase Your Analytical Skills:In your application, be sure to demonstrate your analytical and problem-solving skills. Share examples of how you've identified trends in datasets or developed data-driven solutions that created real business value.
Apply Through Our Website:We encourage you to apply through our website for a smoother process. It’s the best way for us to receive your application and ensures you don’t miss out on any important updates from our team!
How to prepare for a job interview at Trust Payments
✨Know Your Data Science Stuff
Make sure you brush up on your machine learning, Python, and SQL skills. Be ready to discuss specific projects where you've applied these techniques, especially in a commercial setting. Trust Payments is looking for someone who can translate complex data concepts into actionable business solutions.
✨Show Off Your Problem-Solving Skills
Prepare to share examples of how you've identified trends and patterns in complex datasets. Think about times when your analytical skills led to real business value. This will demonstrate your ability to tackle the challenges that come with the role.
✨Be Ready to Collaborate
Trust Payments values a collaborative approach, so be prepared to discuss how you've worked with both technical and non-technical teams. Highlight any experiences where you engaged directly with clients to understand their needs and present data-driven solutions.
✨Stay Current with AI Trends
Keep yourself updated on the latest developments in AI and machine learning. Be ready to share insights or ideas on how emerging technologies could benefit Trust Payments. Showing your curiosity and willingness to learn will set you apart from other candidates.
