Data Science Manager, Operations

2 Minutes ago • 4 Years + • Data Analysis • $110,000 PA - $130,000 PA

Job Summary

Job Description

Monzo is seeking a Data Science Manager for its Operations Data team, which comprises over 40 professionals across Analytics Engineering, Data Analytics, Machine Learning, and Data Science. This role involves embedding into customer support operations, focusing on customer demand insights and help assistance. The manager will lead a team of Data Scientists and Data Analysts, championing data use, driving product innovation, and ensuring data-driven decision-making across the company.
Must have:
  • At least 4 years of experience as a Data Science Manager.
  • Strong strategic data leadership.
  • Experience working with executive or C-level peers and managing stakeholders across levels of seniorities and disciplines.
  • Familiarity with a variety of Data Science tools (business intelligence, experimentation, causal inference, machine learning) and coding languages (Python and SQL).
  • Ability to pick the right data tool and guide others.
  • Ability to build confidence with senior leaders across the business.
  • Strong product knowledge and experience building data products previously.
  • Experience working with teams that build ML models and understanding how to build the right data set for ML models.
  • Ability to help hire, develop and retain talented Data people.
  • Ability to generate insights that can change the direction of customer operations strategy.
  • Ability to bring data leadership and rigour to product development.
  • Ability to liaise with product and engineering managers to ensure correct data collection for business insights.
Good to have:
  • Excitement for Monzo's mission.
  • Opportunity to work autonomously to impact a fast-growing business.
Perks:
  • Relocation assistance to the UK
  • Visa sponsorship
  • Flexible working hours
  • Learning budget of £1,000 a year for books, training courses and conferences
  • Stock Options
  • Health insurance
  • Remote work (within UK)

Job Details

About our Operations Team:

Our Operations Data team consists of over 40 people across 4 data disciplines: Analytics Engineering, Data Analytics, Machine Learning, and Data Science.

In our Operations Collective, you'll have the opportunity to embed into an area that is the heart of how we work with our customers’ problems - delivering award winning customer support - and is full of data challenges. Data and Machine Learning supports all aspects of Operations, from workforce planning to customer support experience, to enabling teams to work effectively and efficiently.

You'll play a key role by...

You’ll work closely with the Product and Engineering in an agile product environment. You’ll champion the use of data, bring ideas to life through a rigorous analytical approach. Your work will focus on improving our efforts in customer demand insights & help assistance.

You’ll help your team grow, hiring new team members, supporting their personal development. You will manage a team with Data Scientists and Data Analysts, working together with Analytics Engineers to drive product innovation and you’ll get to see the impact of all your work in the product changes we make.

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. 90% of day-to-day data-driven decisions are covered by self-serve analytics through Looker which gives data folk the head space to focus on more impactful business questions and analyses.

Your day-to-day:

  • Be a key leader in building a discipline of exceptional data scientists and analysts working on making Monzo world class at detecting and fighting financial crime activity
  • Help hire, develop and retain talented Data people
  • Generate insights that can change the direction of our customer operations strategy
  • Bring data leadership and rigour to our approach to product development and build a strategic understanding of the business while structuring complex projects to bring them to life
  • Liaise with product and engineering managers to make sure we collect the right data to produce relevant business insights

We would love to hear from you if...

  • What we’re doing here at Monzo excites you!
  • You must have at least 4 years of experience as a Data Science Manager
  • You are a strong strategic data leader and love to drive decisions
  • Strong experience with working with executive or C-level peers, managing stakeholders across levels of seniorities and disciplines
  • You’re excited by the opportunity to work autonomously to impact the future of a fast growing, ever evolving business
  • 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 know how to build confidence with senior leaders across the business
  • You have strong product knowledge and have built data products previously
  • You have experience working with teams that build ML models and you understand how to build the right data set for ML models

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 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

#LI-LG1 #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, 2024 Diversity and Inclusion Report and 2024 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 😊

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About The Company

We’re building the best bank in the world - a bank you'd be proud to use - and that means bringing together a talented team with diverse experiences, backgrounds and skills. We believe there should be an alternative to the banking of the past: we're focused on solving problems, rather than selling financial products, making your financial life simpler, and giving you complete control from your smartphone. Internally, we encourage an open, collaborative, inclusive working environment. We contribute to open source software, and we continually engage with our wonderful community. We’re hiring talented, creative problem-solvers to help us build the bank of the future.

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