Wise is a global technology company, building the best way to move and manage the world’s money.
Min fees. Max ease. Full speed.
Whether people and businesses are sending money to another country, spending abroad, or making and receiving international payments, Wise is on a mission to make their lives easier and save them money.
As part of our team, you will be helping us create an entirely new network for the world's money.
For everyone, everywhere.
More about our mission and what we offer.
Job DescriptionSenior Data Science Manager — Financial Planning and Analysis
We’re looking for a Senior Data Science Manager to join our growing Financial Planning and Analysis Team in London.
This role is a unique opportunity to work behind the scenes of company transactions, understand how we grow and at the same time provide our customers with the seamless service they deserve. What you build will have a direct impact on Wise’s mission and millions of our customers.
About the Role:
We are seeking a skilled and detail-oriented Data Science Senior Manager to join our Financial Planning and Analysis (FP&A) team. This role will drive data analytics, build predictive models, and leverage machine learning to support strategic decision-making across the whole company.
As a member of the FP&A team, you will partner closely with finance, operations, and product teams to uncover insights, forecast trends, and identify areas for operational efficiency and revenue growth. This position offers a unique opportunity to influence business strategy by transforming complex datasets into actionable insights, enabling data-driven decision-making across the organisation.
Here’s how you’ll be contributing:
- Strategic Technical Leadership: Drive the technical vision for the time series forecasting and causal inference-based models and pipelines. Make key decisions on technology adoption and guide your team through complex technical challenges
- Team Development & Mentorship: Lead and grow our technical team, mentoring data scientists on cutting-edge technologies and methodologies. Build technical capabilities across the team while fostering career development and knowledge sharing
- Cross-Functional Leadership: Partner strategically with Product, Engineering, and Operations leaders to ensure that data science is effectively used to enhance product roadmaps. Influence stakeholders to ensure technical solutions deliver maximum customer and business value
- Delivery Excellence: Establish and oversee scalable deployment strategies and MLOps practices. Lead your team in implementing robust model monitoring, A/B testing frameworks, and performance tracking to ensure production success
- Technical Strategy: Design comprehensive data strategies and oversee large-scale model optimisation efforts. Ensure your team delivers high-quality model outputs that meet business requirements
- Organisational Impact: Define and enforce technical standards, model governance frameworks, and best practices across all data science projects. Drive process improvements that accelerate iteration speed and delivery quality
- Innovation Culture: Shape the research agenda and evaluate emerging AI/ML technologies for strategic adoption. Foster a culture of experimentation and continuous learning while making informed decisions about resource allocation
- Responsible AI Leadership: Champion ethical AI practices across the organization, establishing frameworks for bias mitigation and transparency while guiding the team in responsible AI development
A bit about you:
- Leadership Experience: 8+ years of leading data science teams and driving the development of production-grade ML and AI systems that operate at scale and directly impact user experience. Proven track record of building and scaling technical teams while delivering measurable business outcomes
- Industry Expertise: Experience in financial services, fintech, or other regulated industries is highly valued, with leadership experience navigating compliance requirements, risk management, and regulatory frameworks
- Technical Leadership Depth: Strong technical foundation with expertise in Python, forecasting, causal inference, A/B testing and big data processing
- Strategic Technology Vision: Experience with cloud platforms (AWS, GCP, Azure) and modern MLOps practices, with ability to architect scalable solutions and guide technical strategy for model deployment and infrastructure decisions
- Data Strategy Leadership: Proven ability to design and implement comprehensive data strategies at organizational level, including leading initiatives for data collection, curation, and augmentation across large-scale systems
- Team Development: Exceptional ability to mentor, develop, and retain top technical talent while fostering collaborative and innovative team cultures. Track record of growing team capabilities and establishing technical excellence standards
- Executive Communication: Outstanding ability to influence and communicate with senior leadership, translating complex technical concepts into strategic business language and building consensus across diverse stakeholder groups
- Organizational Impact: Champion of responsible AI practices with experience establishing ethical frameworks and driving cultural change around fairness, transparency, and societal impact across technical organizations
We’re people without borders — without judgement or prejudice, too. We want to work with the best people, no matter their background. So if you’re passionate about learning new things and keen to join our mission, you’ll fit right in.
Also, qualifications aren’t that important to us. If you’ve got great experience, and you’re great at articulating your thinking, we’d like to hear from you.
And because we believe that diverse teams build better products, we’d especially love to hear from you if you’re from an under-represented demographic.
For everyone, everywhere. We're people building money without borders — without judgement or prejudice, too. We believe teams are strongest when they are diverse, equitable and inclusive.
We're proud to have a truly international team, and we celebrate our differences.
Inclusive teams help us live our values and make sure every Wiser feels respected, empowered to contribute towards our mission and able to progress in their careers.
If you want to find out more about what it's like to work at Wise visit Wise.Jobs.
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