Senior Data Science Manager, Business Banking

Job Application for Senior Data Science Manager, Business Banking at Monzo

We’re on a mission to make money work for everyone.

We’re waving goodbye to the complicated and confusing ways of traditional banking.

After starting as a prepaid card, our product offering has grown a lot in the last 10 years in the UK. As well as personal and business bank accounts, we offer joint accounts, accounts for 16-17 year olds, a free kids account and credit cards in the UK, with more exciting things to come beyond. Our UK customers can also save, invest and combine their pensions with us.

With our hot coral cards and get-paid-early feature, combined with financial education on social media and our award winning customer service, we have a long history of creating magical moments for our customers!

We’re not about selling products - we want to solve problems and change lives through Monzo

London | UK remote | £126,000 to £160,000 + Benefits

About our Business Banking Team:

Our Mission in Business Banking is to simplify banking for small businesses - this means making business banking fairer, simpler, and more transparent for small businesses. Monzo Business Banking is fast growing and is the UK’s most recommended business account for overall service quality and used by 1 in 7 UK SMEs. Data is crucial to the success of this mission and product data scientists are the core of how we build and scale our data to Enable Monzo to Make Better Decisions, Faster, and help serve Monzo’s businesses.

As we scale Business Banking, we are hiring a Senior Data Science Manager to set product direction using data, strengthen commercial decision-making, and lead the evolution from analytics to AI and ML-enabled product capability in Business Banking.

You’ll be working in an ever changing environment in collaboration with the General Manager and BB Leadership team.

You’ll help us build and improve these for now and for our future roadmap. We’re looking for a leader with hands-on experience, data driven strategic leader who can bring fresh thinking and new ways to inspire the team and our customers.

What you’ll be working on:

You’ll work closely with the General manager, product director, engineering managers, designers and researchers in an agile product environment.

You will shape product strategy and prioritisation — making crisp recommendations on what to build, why, and how we’ll measure success.

You’ll champion the use of data, bring ideas to life through rigorous experimentation and A/B testing.

You’ll help build AI/ML-enabled product capability (where it’s the right tool), and ensure features are evaluated, launched, and monitored responsibly.

You and your team will drive product innovation and you’ll get to see the impact of all your work in the product changes we make.

You’ll bring commercial acumen to decisions — sizing opportunities, clarifying trade-offs, and helping leadership choose where to invest.

You will be a key leader in building a discipline of exceptional data scientists and analytics engineers working on making Monzo world class in Business Banking, as well as having the opportunity to help your team’s career progression and development.

We have a strong culture of data-driven decision making across the whole company. And we're great believers in powerful, real-time analytics and empowerment of the wider business. All our data lives in one place and is super easy to use. 90% of day-to-day data-driven decisions are covered by self-serve analytics through Looker which gives data scientists the head space to focus on more impactful business questions and analyses.

You should apply if:

• You have multiple years of experience in product data science, with 3 or more years working in Senior or Lead positions within Data Science or Analytics.
• You have had experience managing high performing senior teams of 8-10 people
• You consider yourself an empathetic leader and have experience managing data scientists and analytics engineers and you really enjoy that part of the job.
• Proven ability to set direction and influence product strategy with data (not just analysis).
• Strong commercial judgement and comfort with trade-offs.
• Experience leading teams, with the ability to be hands-on when needed (IC-capable).
• Practical understanding of shipping/operating ML in a product environment (or leading teams that do).
• Strong stakeholder influence and clear, concise communication.
• You are comfortable exploring potentially ambiguous business problems and enjoy using data to drive decisions
• You have experience building relationships and working together and collaborating with senior business stakeholders and product teams
• Experience with working with c-level peers
• You know what it takes to lead top tier Data Science and Analytics Engineering talent talent
• You're familiar with using a variety of Data Science tools (from business intelligence, experimentation and causal inference through to machine learning), and coding languages (Python and SQL). You know when to pick the right tool, and can help others do the same

The Interview Process:

Our interview process involves 3 main stages. We promise not to ask you any brain teasers or trick questions!

• 30 minute recruiter call
• 45 minute call with hiring manager
• 3 x 1-hour video calls with various team members

Our average process takes around 3-4 weeks but we will always work around your availability.

What’s in it for you:

• £126,000 to £160,000 + Benefits
• We can help you relocate to the UK
• We can sponsor visas