At a Glance
- Tasks: Lead a team of Data Scientists to create innovative payment solutions using AI and machine learning.
- Company: Join GoCardless, a global leader in bank payments with a commitment to inclusivity.
- Benefits: Enjoy flexible working, equity options, wellness days, and comprehensive health support.
- Why this job: Make a real impact in fintech by solving complex challenges in payments and fraud prevention.
- Qualifications: 2+ years managing Data Scientists, strong skills in Python and SQL, and a passion for innovation.
- Other info: Be part of a diverse team dedicated to sustainability and personal growth.
The predicted salary is between 48000 - 72000 £ per year.
GoCardless is a global bank payment company. Over 100,000 businesses, from start-ups to household names, use GoCardless to collect and send payments through direct debit, real-time payments, and open banking. GoCardless processes US$130bn+ of payments annually, across 30+ countries, helping customers collect and send both recurring and one-off payments without the chasing, stress, or expensive fees. We use AI-powered solutions to improve payment success and reduce fraud. With open banking connectivity to over 2,500 banks, we help our customers make faster, more informed decisions.
At GoCardless, we’re all about supporting you! We’re committed to making our hiring process inclusive and accessible. If you need extra support or adjustments, reach out to your Talent Partner — we’re here to help! And remember: we don’t expect you to meet every single requirement. If you’re excited by this role, we encourage you to apply!
The role Data sits at the core of our mission. We leverage bank account data to deliver high-value, intelligent payment solutions for our customers, from enhancing payment success rates to driving payer fraud prevention. As a Data Science Manager within our Payment Intelligence team, you’ll partner with Software Engineers, Product Managers, and Designers to turn big ideas into reality. You’ll own the full lifecycle of our algorithms, shaping everything from the initial concept to production-ready code that powers our global payment network.
At GoCardless, our stack is centered around Google Cloud Platform and Vertex AI, providing a high-performance environment for innovation. Our Data Scientists operate at the intersection of Python, SQL, and BigQuery to build and deploy high-performance models at scale.
What you’ll do:
- Manage and mentor a high-performing team of Data Scientists, fostering a culture of technical excellence and supporting their long-term career development.
- Oversee the end-to-end lifecycle of mission-critical ML models that power real-time payment decisions.
- Shape the strategic roadmap for the Payment Intelligence space, translating complex data challenges into actionable, high-impact goals.
- Drive cross-functional impact by working closely across disciplines to build end-to-end technical solutions, from concept to production.
- Influence Senior Leadership by acting as the bridge between technical complexity and business value, communicating ML strategy to senior stakeholders.
What excites you:
- Driving cutting-edge advancements in Data, AI, and Machine Learning within the payments space with a multidisciplinary team.
- Mentoring a high-performing team and fostering a culture of technical excellence.
- Solving the complex, real-time challenges of fraud prevention and payment optimisation at scale.
- Building production-grade ML models on a streamlined GCP and Vertex AI stack to drive fintech innovation.
What excites us:
- 2+ years managing Data Scientists within complex, high-stakes domains.
- A hands-on leader comfortable diving into the codebase. You bring strong expertise in Python and SQL to oversee the full lifecycle of a model, from initial prototype to robust production deployment.
- A decisive collaborator who can navigate technical trade-offs and translate complex ML concepts for cross-functional stakeholders and leadership.
- Familiarity with complex data environments and model architectures, such as deep learning (experience in Fintech, Fraud Prevention, or Payments is a big plus).
The Good Stuff!
- Wellbeing: Dedicated support and medical cover to keep you healthy.
- Work Away Scheme: Work from anywhere for up to 90 days in any 12-month period.
- Hybrid Working: Our hybrid model offers flexibility, with in-office days determined by your team.
- Equity: All permanently employed GeeCees get equity to share in our success.
- Parental leave: Tailored leave to support your life's great adventure.
- Time off: Annual holiday leave based on your location, supplemented by 3 volunteer days and 4 wellness days.
Life at GoCardless
We’re an organization defined by our values. We start with why before we begin any project, to ensure it’s aligned with our mission. We make it happen, working with urgency and taking personal accountability for getting things done. We act with integrity, always. We care deeply about what we do and we know it’s essential that we be humble whilst we do it. Our Values form part of the GoCardless DNA, and are used to not only help us nurture and develop our culture, but to deliver impactful work that will help us to achieve our vision.
Diversity & Inclusion
- 45% identify as women
- 23% identify as Black, Asian, Mixed, or Other
- 10% identify as LGBTQIA+
- 9% identify as neurodiverse
- 2% identify as disabled
Sustainability at GoCardless
We’re committed to reducing our environmental impact and leaving a sustainable world for future generations. As co-founders of the Tech Zero coalition, we’re working towards a climate-positive future.
At GoCardless we’re committed to fostering an inclusive and high-performance culture built on trust and transparency.
Interested in building your career at GoCardless? Get future opportunities sent straight to your email.
To ensure you have a clear understanding of the compensation and potential growth for this opportunity, we’ve shared the full base salary pay range for this role. Please note, our approach is to offer salaries between the minimum and mid-point of the range. We want to manage expectations from the start, and if your application is successful you can discuss any questions around the pay range and salary with your Talent Partner.
Data Science Manager Riga, Latvia in London employer: GoCardless
Contact Detail:
GoCardless Recruiting Team
StudySmarter Expert Advice 🤫
We think this is how you could land Data Science Manager Riga, Latvia in London
✨Tip Number 1
Network like a pro! Reach out to current or former employees at GoCardless on LinkedIn. A friendly chat can give you insider info and maybe even a referral, which can really boost your chances.
✨Tip Number 2
Prepare for the interview by brushing up on your technical skills. Since this role involves Python and SQL, practice coding challenges and be ready to discuss your past projects in detail. Show them you’re the hands-on leader they need!
✨Tip Number 3
Don’t just focus on your technical skills; highlight your leadership experience too! Be ready to share examples of how you've mentored teams and driven cross-functional projects. They want to see you can bridge the gap between tech and business.
✨Tip Number 4
Finally, apply through our website! It’s the best way to ensure your application gets seen. Plus, it shows you’re genuinely interested in joining the GoCardless team. Let’s get you that interview!
We think you need these skills to ace Data Science Manager Riga, Latvia in London
Some tips for your application 🫡
Tailor Your CV: Make sure your CV reflects the skills and experiences that align with the Data Science Manager role. Highlight your leadership experience and technical expertise in Python and SQL, as these are key for us at GoCardless.
Craft a Compelling Cover Letter: Use your cover letter to tell us why you're excited about this role and how you can contribute to our mission. Share specific examples of your past achievements in data science and team management to make your application stand out.
Showcase Your Technical Skills: Don’t shy away from detailing your technical skills! We want to see your familiarity with machine learning models and complex data environments. Mention any relevant projects or experiences that demonstrate your hands-on capabilities.
Apply Through Our Website: We encourage you to apply directly through our website. It’s the best way for us to receive your application and ensures you’re considered for the role. Plus, it shows your enthusiasm for joining our team!
How to prepare for a job interview at GoCardless
✨Know Your Data Inside Out
Before the interview, brush up on your knowledge of data science concepts, especially those relevant to payments and fraud prevention. Be ready to discuss how you've applied Python and SQL in real-world scenarios, as this will show your hands-on experience and technical expertise.
✨Showcase Your Leadership Skills
As a Data Science Manager, you'll need to demonstrate your ability to mentor and lead a team. Prepare examples of how you've supported your team's development and fostered a culture of excellence. Highlight any specific projects where your leadership made a significant impact.
✨Understand GoCardless' Mission
Familiarise yourself with GoCardless' mission and values. Be prepared to explain how your experience aligns with their goals, particularly in leveraging AI and machine learning for payment solutions. This shows that you're not just looking for a job, but are genuinely interested in contributing to their success.
✨Prepare for Cross-Functional Collaboration
Since the role involves working closely with Software Engineers, Product Managers, and Designers, think of examples where you've successfully collaborated across disciplines. Be ready to discuss how you can bridge technical complexity with business value, as this is crucial for influencing senior leadership.