
Job Overview
Location
Cardiff, London or Remote (UK)
Job Type
Full-time
Category
Data Scientist
Date Posted
February 24, 2026
Full Job Description
đź“‹ Description
- • Join Monzo Bank, a rapidly growing digital bank with over 11 million customers, on a mission to make money work for everyone by building the bank of the future.
- • We are seeking a highly skilled and motivated Lead Data Scientist to play a pivotal role in shaping our data strategy and driving impactful decisions across the organisation.
- • This is an exciting opportunity to leverage your expertise in data science to enhance user engagement, develop innovative financial products, and contribute to a truly customer-centric banking experience.
- • You will be instrumental in evolving Monzo's offerings, ensuring they remain magically simple for customers to manage their money day-to-day.
- • As a Lead Data Scientist, you will champion best practices in experimentation, enabling the entire team to make robust, data-informed decisions that propel our growth and product development.
- • You will collaborate closely with leaders across product, engineering, design, and research to conceptualise, build, and iterate on groundbreaking product ideas.
- • A key aspect of this role involves setting high standards for data utilisation across Monzo, fostering a culture of knowledge sharing, and continuously improving our data practices to ensure consistency and efficiency.
- • You will have the autonomy to delve deep into the nuances of our data, laying the foundational knowledge critical for the development of new products and features.
- • This role requires a strategic thinker who can translate complex data insights into actionable commercial strategies, unlocking greater value for our customers.
- • You will be a mentor and guide to other data scientists and analytics engineers, fostering their growth and development within the team.
- • We are looking for individuals who are passionate about experimentation and eager to apply cutting-edge data techniques to solve challenging problems in the financial sector.
- • You will be empowered to be opinionated about how we measure success, and encouraged to challenge the status quo, driving continuous improvement and innovation.
- • Monzo boasts a strong culture of data-driven decision-making, supported by a centralised data infrastructure that is easily accessible.
- • The majority of day-to-day data-driven decisions are facilitated through self-serve analytics tools like Looker, freeing up data scientists to focus on more complex and impactful business questions.
- • This role offers the chance to work across various exciting domains within Monzo, including Borrowing, Growth, Payments, Financial Crime, Wealth, and Core banking operations.
- • While specific team allocation occurs post-interview, your skills and aspirations will be carefully matched to the most suitable area.
- • You will engage with a diverse group of data professionals throughout the interview process, gaining insights into the breadth of opportunities available.
- • The company is committed to fostering an inclusive environment where all employees can thrive and contribute to the mission of making money work for everyone.
- • You will be part of a dynamic, fast-moving environment, working with cross-functional teams to deliver exceptional results.
- • Your strategic thinking will be crucial in identifying opportunities where data can significantly enhance customer value and business performance.
- • Mentoring junior team members and promoting a collaborative learning environment will be a rewarding part of your role.
- • Embrace the challenge of solving complex problems using advanced statistical modelling, machine learning, and experimental design.
- • Contribute to the foundational understanding of our data, enabling the creation of data products and features that delight our users.
- • Actively participate in defining and refining key performance indicators (KPIs) and success metrics, ensuring alignment with business objectives.
- • The role demands a proactive approach to identifying and mitigating risks associated with data usage and model deployment.
- • You will have the opportunity to influence the technical direction of data science initiatives within Monzo.
- • Contribute to the development and maintenance of robust data pipelines and analytical frameworks.
- • Engage in peer reviews and knowledge-sharing sessions to elevate the collective data science capabilities of the team.
- • Champion ethical data practices and ensure compliance with relevant regulations.
- • This position offers a unique chance to make a tangible impact on a leading digital bank, shaping its future and the financial lives of millions.
- • You will be at the forefront of innovation, exploring new technologies and methodologies to enhance our data science offerings.
- • Collaborate with stakeholders to define project requirements, scope, and deliverables, ensuring alignment with business priorities.
- • Translate business needs into well-defined data science problems and develop appropriate solutions.
- • Communicate complex technical findings to non-technical audiences in a clear and concise manner.
- • Drive the adoption of data science best practices and tools across the organisation.
- • Contribute to the strategic roadmap for data science at Monzo, identifying areas for future investment and development.
- • You will be part of a supportive and collaborative team, with ample opportunities for professional growth and development.
- • The company values transparency, fairness, and a delightful user experience, and your role will be central to upholding these principles through data-driven insights.
- • This is more than just a job; it's an opportunity to be part of a movement that is revolutionising banking and empowering individuals financially.
🎯 Requirements
- • Proven experience in leading data science projects and initiatives, with a strong track record of delivering impactful results.
- • Expertise in statistical modelling, machine learning, experimental design (A/B testing), and causal inference.
- • Proficiency in programming languages commonly used in data science, such as Python or R, and experience with relevant libraries (e.g., scikit-learn, pandas, TensorFlow, PyTorch).
- • Strong SQL skills for data extraction and manipulation from large datasets.
- • Experience with cloud platforms (e.g., AWS, GCP, Azure) and big data technologies (e.g., Spark).
- • Excellent communication and stakeholder management skills, with the ability to explain complex technical concepts to non-technical audiences.
- • Experience in mentoring and guiding junior data scientists or analytics engineers.
- • A strategic mindset with the ability to think about commercial products and how data decisions can unlock value.
- • A passion for experimentation and a proactive approach to solving challenging problems.
- • Understanding of data nuances and laying foundational knowledge for new products and features.
- • Opinionated about measuring success and challenging the status quo.
🏖️ Benefits
- • Competitive salary (£95,000 to £130,000) and stock options.
- • Relocation assistance to the UK or Spain.
- • Visa sponsorship available.
- • Flexible working hours and the ability to work remotely within the UK (with ad hoc London meetings).
- • Annual learning budget of £1,000 for books, training courses, and conferences.
- • Comprehensive benefits package, including health, dental, and vision insurance.
- • Generous holiday allowance.
- • Opportunities for professional development and career advancement within a fast-growing company.
- • A vibrant and inclusive company culture that values diversity and employee well-being.
Skills & Technologies
Data Science
Senior
Remote
About Monzo Bank Limited
Monzo Bank Limited is a UK-regulated digital bank offering personal, joint, and business accounts, savings, loans, overdrafts, and mortgages via a mobile-first platform. Licensed by the PRA and FCA, it provides real-time spending notifications, budgeting tools, and fee-free foreign transactions. Founded in 2015 as Mondo, it rebranded in 2016 and serves over nine million customers.
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