远程工作雷达

数据科学经理

Data Science Manager

AI限定地区(需当地身份)日间重叠仅 1 小时,需熬夜配合
公司Monzo
薪资£100,000 - £130,000/年
工作地点United Kingdom
地域资格限定地区(需当地身份)
时区要求日间重叠仅 1 小时,需熬夜配合
用工类型permanent
发布时间6 天前
数据来源4dayweek.io
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注意地域限制:该职位明确限定在 United Kingdom 招聘。如果你是位于中国大陆的求职者,通常需要当地工作身份才能投递,或需与雇主确认是否接受独立合同(Contractor)形式合作。
作息提示:日间重叠仅 1 小时,需熬夜配合。

🚀 我们致力于让金钱为每个人服务。

我们告别了传统银行复杂且令人困惑的方式。

从预付卡开始,我们的产品在过去十年中在英国有了很大发展。除了[个人](https://monzo.com/current-account/personal)和[企业](https://monzo.com/business-banking)银行账户,我们还提供[联名账户](https://monzo.com/current-account/joint-account)、[16-17岁青少年账户](https://monzo.com/current-account/16-17)、[免费儿童账户](https://monzo.com/current-account/under-16s)以及在英国的[信用卡](https://monzo.com/flex),未来还有更多令人兴奋的新功能。我们的英国客户还可以[储蓄](https://monzo.com/savings)、[投资](https://monzo.com/investments)并[合并养老金](https://monzo.com/pensions)。

凭借我们鲜艳的珊瑚色卡片和提前收款功能,加上社交媒体上的金融教育和获奖的客户服务,我们一直有创造神奇时刻的传统!

我们不只销售产品——我们希望通过Monzo解决问题,改变人们的生活 ❤️

* * *

##### 📍伦敦或英国远程 | 💰 10万至13万英镑 + 与绩效挂钩的激励奖金 + [福利](https://monzo.com/careers/#benefits) | [技术](https://monzo.com/blog/technology) - [数据](https://monzo.com/blog/data)

#### ⭐ 关于Monzo的数据

数据是Monzo做决策和构建产品的核心。我们的数据团队汇集了数据科学、分析工程、数据分析和机器学习,与产品、工程和其他业务团队紧密合作。

我们的数据科学家嵌入到Monzo各个产品和业务领域,他们通过实验、因果推断、统计建模、机器学习和分析来理解我们的客户,发现机会,并影响产品的方向和战略。

作为**数据科学经理**,你将领导一个数据科学家和其他数据专业人员的团队,结合人员管理与战略数据领导力,并与高级利益相关者密切合作。

#### 🔑 你的职责包括...

你将与产品、工程和高级领导紧密合作,确保数据在我们理解问题、做出决策和发展产品中的核心作用。

你将领导并培养一支才华横溢的数据科学家团队,

查看英文原文

**_🚀 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](https://monzo.com/current-account/personal) and [business](https://monzo.com/business-banking) bank accounts, we offer [joint accounts](https://monzo.com/current-account/joint-account), [accounts for 16-17 year olds](https://monzo.com/current-account/16-17), a [free kids account](https://monzo.com/current-account/under-16s) and [credit cards](https://monzo.com/flex) in the UK, with more exciting things to come beyond. Our UK customers can also [save](https://monzo.com/savings), [invest](https://monzo.com/investments) and [combine their pensions](https://monzo.com/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 or UK remote | 💰 £100,000 to £130,000 + Incentive Awards tied to your performance + [Benefits](https://monzo.com/careers/#benefits) | [Technology](https://monzo.com/blog/technology) - [Data](https://monzo.com/blog/data)

#### ⭐ About Data at Monzo

Data is at the heart of how we make decisions and build products at Monzo. Our Data teams bring together Data Science, Analytics Engineering, Data Analytics and Machine Learning, working closely with Product, Engineering and other teams across the business.

Our Data Scientists are embedded within product and business areas across Monzo, where they use experimentation, causal inference, statistical modelling, machine learning and analytics to understand our customers, identify opportunities and influence the direction of our products and strategy.

As a **Data Science Manager**, you'll lead a team of Data Scientists and other Data professionals within one of these areas, combining people leadership with strategic data leadership and close partnership with senior stakeholders.

#### 🔑 You'll play a key role by...

You’ll work closely with Product, Engineering and senior leaders to ensure data plays a central role in how we understand problems, make decisions and develop our products.

You'll lead and develop a team of talented Data Scientists, helping them do their best work while setting a high bar for analytical quality and impact. You'll provide strategic direction across complex problems, help teams identify where Data Science can have the greatest impact, and ensure insights translate into meaningful decisions and product changes.

We have a strong culture of data-driven decision making across Monzo. We're big believers in powerful, accessible analytics and empowering teams across the business to answer questions themselves. Around 90% of our day-to-day data-driven decisions are supported by self-serve analytics through Looker, giving our Data teams the space to focus on higher-impact problems.

#### Your day-to-day

- Lead, develop and grow a team of exceptional Data Scientists and other Data professionals.
- Hire, coach and retain talented people while creating an environment where they can develop and do their best work.
- Set the Data Science direction for your area and identify where data can have the greatest customer and business impact.
- Partner with Product, Engineering and senior stakeholders to shape strategy and influence product direction.
- Bring analytical rigour to complex and ambiguous problems and help teams turn them into clear, actionable opportunities.
- Ensure teams are using the right analytical approaches, from experimentation and causal inference through to statistical modelling and machine learning.
- Help connect Data Science work to measurable customer, product and commercial outcomes.
- Work with Analytics Engineering, Machine Learning and other Data disciplines to ensure teams have the data, tooling and infrastructure they need.
- Contribute to the wider Data Science discipline at Monzo, helping us continually raise the bar for how we work.

#### 🤩 We'd love to hear from you if...

- What we're doing at Monzo excites you!
- You have significant experience managing and developing Data Scientists.
- You're a strong strategic data leader who uses data to influence decisions and direction.
- You have experience partnering with senior and executive stakeholders across different functions and levels of seniority.
- You're comfortable working autonomously in a fast-growing and evolving organisation.
- You have a strong understanding of Data Science approaches including experimentation, causal inference, statistical analysis and machine learning.
- You're comfortable with tools and languages such as Python and SQL, and understand how to choose the right analytical approach for a problem.
- You can build credibility with Product, Engineering and senior business leaders and influence without relying on authority.
- You have strong product judgement and experience using Data Science to shape product development and strategy.
- You know how to balance technical excellence with pragmatic decision-making and business impact.
- You have experience helping Data Scientists develop their technical, product and leadership capabilities.

#### 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 the hiring manager
- 3 x 1-hour video calls with various team members

Our average process takes around 3–4 weeks, but we'll always work around your availability. You'll have the chance to speak to our recruitment team at various points during the process.

#### 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](https://monzo.com/careers/)**

**#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](https://monzo.com/blog/diversity-and-inclusion), 2026 [Diversity and Inclusion Report](https://monzo.com/blog/our-2026-diversity-and-inclusion-report) and 2025 [Gender Pay Gap Report.](https://monzo.com/blog/gender-pay-gap-report-2025)

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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