At a Glance
- Tasks: Lead a data team to drive product strategy and innovation for European expansion.
- Company: Join Monzo, a forward-thinking bank on a mission to simplify finance for everyone.
- Benefits: Enjoy a competitive salary, stock options, flexible hours, and a £1,000 learning budget.
- Why this job: Be part of a dynamic team that values data-driven decisions and empowers your career growth.
- Qualifications: Must have 3+ years in senior data roles, managing teams and driving strategic decisions.
- Other info: Remote work options available; we support diversity and inclusion in our hiring process.
The predicted salary is between 95000 - 110000 £ per year.
We are on a mission to make money work for everyone. We are waving goodbye to the complicated and confusing ways of traditional banking. 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 are not about selling products - we want to solve problems and change lives through Monzo.
Location: London | UK remote | £110,000 to £130,000 + Stock Options + Benefits
About our European Expansion Team: Our Mission is to make money work for everyone, everywhere. As we scale the European Expansion organization, we are looking for a Senior Data Science Manager to lead our data team and product strategy more holistically to get us to Europe. You will be working in an ever-changing environment in collaboration with the General Manager, Senior Engineering Manager, and EU Leadership team.
What you will be working on:
- You will work closely with the product lead, engineering managers, designers, and researchers in an agile product environment.
- You are expected to drive product strategy using data and also serve as a core member of the EU tech leadership team.
- You will champion the use of data, bring ideas to life through rigorous experimentation and A/B testing.
- You will help us get the most out of volumes of cloud-native data platform, spotting opportunities to make each area of our product work even better for our users.
- You and your team will drive product innovation and you will get to see the impact of all your work in the product changes we make.
- You will be a key leader in building a discipline of exceptional data scientists and analytics engineers working on getting Monzo to Europe, 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 are 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 headspace 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.
- You are a strong strategic data leader and love to drive decisions.
- You are comfortable exploring potentially ambiguous business problems and enjoy using data to drive decisions.
- You have experience building a strategic understanding of the business while structuring complex projects to bring them to life.
- You are as comfortable getting hands-on as well as taking a step back and thinking strategically and proactively identifying opportunities.
- 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.
- You are 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. You will have the chance to speak to our recruitment team at various points during your process.
What’s in it for you:
- £110,000 to £130,000 + Stock Options + Benefits
- We can help you relocate to the UK.
- We can sponsor visas.
- This role can be based in our London office, but we are open to distributed working within the UK (with ad hoc meetings in London).
- We offer flexible working hours and trust you to work enough hours to do your job well, at times that suit you and your team.
- Learning budget of £1,000 a year for books, training courses, and conferences.
- And much more.
If you prefer to work part-time, we will make this happen whenever we can - whether this is to help you meet other commitments or strike a great work-life balance.
Equal opportunities for everyone: Diversity and inclusion are a priority for us and we are making sure we have lots of support for all of our people to grow at Monzo. At Monzo, we are embracing diversity by fostering an inclusive environment for all people to do the best work of their lives with us. This is integral to our mission of making money work for everyone.
We are an equal opportunity employer. All applicants will be considered for employment without attention to age, ethnicity, religion, sex, sexual orientation, gender identity, family or parental status, national origin, or veteran, neurodiversity or disability status.
Senior Data Science Manager, EU Expansion employer: Monzo
Contact Detail:
Monzo Recruiting Team
StudySmarter Expert Advice 🤫
We think this is how you could land Senior Data Science Manager, EU Expansion
✨Tip Number 1
Familiarise yourself with Monzo's mission and values. Understanding how they aim to make money work for everyone will help you align your answers during interviews and demonstrate your passion for their goals.
✨Tip Number 2
Prepare to discuss your experience in leading data science teams. Highlight specific examples where you've driven product strategy using data, as this is a key aspect of the role.
✨Tip Number 3
Showcase your hands-on experience with data science tools and coding languages like Python and SQL. Be ready to explain how you've used these tools to solve complex business problems in previous roles.
✨Tip Number 4
Network with current or former employees of Monzo, especially those in data science roles. They can provide valuable insights into the company culture and interview process, which can give you an edge.
We think you need these skills to ace Senior Data Science Manager, EU Expansion
Some tips for your application 🫡
Tailor Your CV: Make sure your CV highlights relevant experience in product data science and leadership roles. Emphasise your hands-on experience and strategic thinking, particularly in managing teams and driving data-driven decisions.
Craft a Compelling Cover Letter: In your cover letter, express your passion for Monzo's mission to make money work for everyone. Discuss how your background aligns with their goals, particularly in leading data teams and innovating product strategies.
Showcase Relevant Skills: Clearly outline your proficiency in data science tools and coding languages like Python and SQL. Provide examples of how you've used these skills to solve complex business problems or drive significant outcomes.
Prepare for the Interview Process: Familiarise yourself with the interview stages outlined in the job description. Prepare to discuss your leadership style, experiences with senior stakeholders, and how you approach ambiguous business challenges using data.
How to prepare for a job interview at Monzo
✨Understand the Company Mission
Before your interview, make sure you fully grasp Monzo's mission to make money work for everyone. Familiarise yourself with their products and how they aim to solve customer problems. This will help you align your answers with their values during the interview.
✨Showcase Your Leadership Experience
As a Senior Data Science Manager, you'll need to demonstrate your experience in leading high-performing teams. Prepare examples of how you've managed teams of data scientists and analytics engineers, focusing on your empathetic leadership style and how you've driven team success.
✨Prepare for Strategic Discussions
Expect to discuss strategic data leadership and decision-making. Be ready to share your approach to tackling ambiguous business problems and how you've used data to drive impactful decisions in previous roles. Highlight any experience you have with product strategy and innovation.
✨Familiarise Yourself with Data Tools
Since the role requires familiarity with various data science tools and coding languages like Python and SQL, brush up on these skills. Be prepared to discuss specific tools you've used in past projects and how you've chosen the right tool for different scenarios.