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Senior Data Science Manager, CRM

monzo · 30+ days ago
Negotiable
Full-time
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🚀 We’re on a mission to make money work for everyone.

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

Hear from our team about what it's like working at Monzo


 

📍London | UK remote | Benefits | Hear from the team

About us: 

We’re here to make money work for everyone and we're doing things differently. For too long, banking has been obtuse, complex and opaque.

We want to change that and build a bank with everyone, for everyone. Our amazing community suggests features, test the app and give us constant feedback so we can build something everyone loves.

We're focused on solving problems, rather than selling financial products. We want to make the world a better place and change people's lives through Monzo.

About our Data Science Team:

We're looking for a Head of Data Science for our CRM team to help build the bank of the future. As a key leader, you will take ownership of all data-related aspects of our end-to-end direct-to-customer marketing approach. You will play a critical role in shaping and supporting our CRM strategy by implementing advanced measurement techniques to ensure we accurately assess the impact of our efforts. Additionally, you will oversee our foundational data platforms, identifying and driving opportunities to enhance our current capabilities. Your expertise will be pivotal in advancing our segmentation strategy and collaborating with product teams to create a personalised future through the development of a dynamic decisioning layer.

 

At Monzo, we're building a bank that is fair, transparent and a delight to use. We’re growing extremely fast and have over 10 million customers in the UK, with over 200,000 new people joining every month. We’ve built a product that people love and more than 80% of our growth comes from word of mouth and referrals. 

 

This is a great opportunity to shape the future direction of CRM for all of Monzo, as we lay the foundations to build a best in class analytics function. You’ll work closely with our marketing, product and engineering teams to build a sustainable CRM approach, building out our initial campaigns into a full set of personalised, optimised marketing communications. 

 

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. 

As part of this role you’ll:

  • Lead our experimentation approach to understand the causal relationships between our CRM activity and product KPIs.
  • Own responsibility for creating, improving and maintaining our reporting suite of CRM metrics, including message engagement across email, in app messaging, outcome metrics (product awareness and adoption) as well as do not harm metrics (like marketing unsubscribes). 
  • Scope a full CRM analytics roadmap, working with a cross functional team inclusive of machine learning engineers, analytics engineers.
  • Build close relationships with the senior marketing leadership, informing and aligning on strategy whilst also promoting visibility of the performance of CRM.
  • Lead your team to democratise data across all partner teams, specifically training and upskilling CRM Managers and enable self-serve data products.
  • Be a key leader in building a discipline of exceptional data scientists working on making Monzo world class at tackling operations problems
  • Have the opportunity to manage exceptional Data Scientists and help their career progression and development.

 

You should apply if:

  • You have multiple years of experience in CRM data, with 3 or more years working in Senior or Lead positions within Data Science or Analytics.
  • You consider yourself an empathetic leader and have experience managing data scientists and you really enjoy that part of the job.
  • You’re as comfortable getting hands-on as well as taking a step back and thinking strategically and proactively identifying opportunities.
  • You have both technical and non-technical experience working together and collaborating with senior business partners and product teams.
  • You are able to communicate complex information in a clear and relatable way.
  • 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.
  • You have experience working on a product analytics role and have conducted large scale A/B experiments.
  • You have previous exposure to direct-to-customer marketing.
  • You’ve worked closely with machine learning teams and have a good understanding of how machine learning can be applied to CRM.

 

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 
  • 3/4 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 but if you 

do have any specific questions ahead of this please contact us on tech-hiring@monzo.com

What’s in it for you:

✈️ We can help you relocate to the UK 

✅ We can sponsor visas

📍This role can be based in our London office, but we're 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, see our full list of benefits here

If you prefer to work part-time, we'll make this happen whenever we can - whether this is to help you meet other commitments or strike a great work-life balance.


#LI-NB2  #LI-Remote


Equal opportunities for everyone

Diversity and inclusion are a priority for us and we’re making sure we have lots of support for all of our people to grow at Monzo. At Monzo, we’re 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. You can read more in our blog, 2023 Diversity and Inclusion Report and 2023 Gender Pay Gap Report.

We’re 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.

If you have a preferred name, please use it to apply. We don't need full or birth names at application stage 😊

Last updated on Aug 28, 2024

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