Data Director, Personalisation

Monzo
London
11 months ago
Applications closed

Related Jobs

View all jobs

Data science programme lead

Data science programme lead

Data science programme lead

Data Analyst

Data Analyst

Data Analyst Graduate

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

Applying for this role is straight forward Scroll down and click on Apply to be considered for this position.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 MonzoHear from our team about what it's like working at MonzoLondon | £160,000- £190,000 + Benefits | Data ScienceAbout our Data DisciplineWe 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.We work in cross-functional squads where every data practitioner is a member of a central data discipline and fully embedded into a product squad alongside Engineers, Designers, Marketers, Product Managers, Finance Analysts etc.Your Mission We’re aiming to be the app where our customers' financial lives are centered and they can get full transparency, visibility and control over their money. This role is fundamental to achieving this mission and making money work for everyone. You’ll build the foundations and collaborate on building systems that enable a personalised financial experience, leveraging machine learning to improve our search, discovery, and personalisation features.You will be responsible for partnering with senior stakeholders across Product, Engineering and Business disciplines to develop evidence-driven solutions to important problems. You will apply your leadership experience and data expertise to solve complex business challenges, help drive decision-making (at squad and leadership level) and develop data products (where appropriate) that will improve our products. You will lead a team of high performing, cross functional data professionals. You will also be part of the wider data leadership group and help shape the role that data plays across the company.Your day-to-day

Establish yourself as a trusted member of the data and product senior leadership teams with the capacity for getting things done and to enable better decision makingBring data leadership and rigour to the data team, and build a strategic understanding of the business while structuring complex projects to bring them to lifeSet the data strategy for a whole product area which will help us to build one of the best user experiences in the financial industryHelp your team to focus and to prioritise for highest impact initiatives for the businessEffectively manage stakeholder relationships and expectations across various functions like engineering, product, operations and first and second lines of defenceDevelop and further scale a high performing team of data professionals across a wide range of data capabilitiesCoach managers and individual contributors, helping them to grow professionally and personallyYou should apply if: What we’re doing here at Monzo excites you!You have multiple years of experience in a hands on data role in the past and have now been

leading data and ML teams in customer facing, product oriented rolesAs well as managing high-performing teams, you have built teams from the ground up within a fast-growing environmentYou consider yourself an empathetic leader and have experience managing multiple data individual contributors and data managers and you really enjoy that part of the jobYou’re as comfortable getting hands-on as well as taking a step back and thinking strategically and proactively identifying opportunitiesYou have experience working together and collaborating with senior business stakeholdersYou have experience leading a full stack data team, including Machine Learning Engineers, Data Scientists, Analytics Engineers and AnalystsYou have experience managing data managersThe Interview Process Our interview process involves 3 main stages. We promise not to ask you any brain teasers or trick questions!30 minute recruiter call45 minute call with the hiring manager4 x 1-hour video calls with various team members, including the general manager for Financial CrimeA meet and greet with a Monzo Executive Committee memberOur 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 ’s in it for you: £160,000- £190,000 plus stock options & benefitsWe can help you relocate to the UKWe can sponsor visasWe 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 conferencesAnd much more, see our full list of benefits

here

#LI-NJ #LI-REMOTEEqual 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 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

#J-18808-Ljbffr

Subscribe to Future Tech Insights for the latest jobs & insights, direct to your inbox.

By subscribing, you agree to our privacy policy and terms of service.

Industry Insights

Discover insightful articles, industry insights, expert tips, and curated resources.

How Many Machine Learning Tools Do You Need to Know to Get a Machine Learning Job?

Machine learning is one of the most exciting and rapidly growing areas of tech. But for job seekers it can also feel like a maze of tools, frameworks and platforms. One job advert wants TensorFlow and Keras. Another mentions PyTorch, scikit-learn and Spark. A third lists Mlflow, Docker, Kubernetes and more. With so many names out there, it’s easy to fall into the trap of thinking you must learn everything just to be competitive. Here’s the honest truth most machine learning hiring managers won’t say out loud: 👉 They don’t hire you because you know every tool. They hire you because you can solve real problems with the tools you know. Tools are important — no doubt — but context, judgement and outcomes matter far more. So how many machine learning tools do you actually need to know to get a job? For most job seekers, the real number is far smaller than you think — and more logically grouped. This guide breaks down exactly what employers expect, which tools are core, which are role-specific, and how to structure your learning for real career results.

What Hiring Managers Look for First in Machine Learning Job Applications (UK Guide)

Whether you’re applying for machine learning engineer, applied scientist, research scientist, ML Ops or data scientist roles, hiring managers scan applications quickly — often making decisions before they’ve read beyond the top third of your CV. In the competitive UK market, it’s not enough to list skills. You must send clear signals of relevance, delivery, impact, reasoning and readiness for production — and do it within the first few lines of your CV or portfolio. This guide walks you through exactly what hiring managers look for first in machine learning applications, how they evaluate CVs and portfolios, and what you can do to improve your chances of getting shortlisted at every stage — from your CV and LinkedIn profile to your cover letter and project portfolio.

MLOps Jobs in the UK: The Complete Career Guide for Machine Learning Professionals

Machine learning has moved from experimentation to production at scale. As a result, MLOps jobs have become some of the most in-demand and best-paid roles in the UK tech market. For job seekers with experience in machine learning, data science, software engineering or cloud infrastructure, MLOps represents a powerful career pivot or progression. This guide is designed to help you understand what MLOps roles involve, which skills employers are hiring for, how to transition into MLOps, salary expectations in the UK, and how to land your next role using specialist platforms like MachineLearningJobs.co.uk.