At a Glance
- Tasks: Lead data strategy and evolve Monzo for seamless money management.
- Company: Join Monzo, a fast-growing bank with over 11 million happy customers.
- Benefits: Competitive salary, relocation assistance, flexible hours, and a £1,000 learning budget.
- Other info: Dynamic environment with opportunities for career growth and innovation.
- Why this job: Make impactful decisions using data and mentor fellow data scientists.
- Qualifications: Experience in data science, strategic thinking, and a passion for experimentation.
The predicted salary is between 95000 - 130000 £ per year.
What you'll be working on:
- Lead the data strategy and continue to evolve Monzo for our customers to make it magically simple to manage money day-to-day.
- Develop and execute best practices for experimentation enabling our team to make data informed decisions.
- Collaboratively set standards and work with data across Monzo, fostering knowledge sharing and continuously improving data practices.
- Work closely with leaders in product, engineering, design and research to build and iterate on product ideas.
What we're looking for:
- You enjoy working with cross functional fast moving teams.
- You are able to think strategically about commercial products and how decisions using data can unlock more value for our customers.
- You are excited about mentoring other data scientists and analytics engineers.
- You are excited by experimentation and utilising new data techniques to solve challenging problems.
- You want to understand the nuances of our data and are excited about laying the key foundational knowledge for our new products and features.
- You are opinionated about how to think about measuring success and are willing to challenge the status quo.
At Monzo, we're building a bank that is fair, transparent and a delight to use. We're growing extremely fast and have over 11 million customers in the UK. We've built a product that people love and more than 80% of our growth comes from word of mouth and referrals.
Enable Monzo to Make Better Decisions, Faster: 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. 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.
The interview process:
- Recruiter Call
- Initial Call
- Technical assessment
- Final Interviews Business Fit/Collaboration Case Study
- Technical Interview
What’s in it for you:
- Salary: £95,000 to £130,000
- Incentive awards tied to your performance
- Benefits
- Relocation assistance to the UK or Spain
- Visa sponsorship
- Role can be based in London or Barcelona offices, or distributed within the UK
- Flexible working hours and trust to work independent hours that suit your team
- Learning budget of £1,000 a year for books, training courses and conferences
- Part‑time work options to support other commitments or work‑life balance
- And much more, see our full list of benefits here.
Lead Data Scientist in City of Westminster employer: Referrals Only
At Monzo, we pride ourselves on being an exceptional employer that champions a culture of collaboration and innovation. With flexible working hours, a generous learning budget, and opportunities for mentorship, we empower our Lead Data Scientists to thrive in a dynamic environment while making impactful contributions to our mission of simplifying money management for over 11 million customers. Our offices in London and Barcelona offer a vibrant atmosphere where creativity flourishes, making it an ideal place for those seeking meaningful and rewarding employment.
StudySmarter Expert Advice🤫
We think this is how you could land Lead Data Scientist in City of Westminster
✨Get Involved in Data Science Meetups
Tap into local data science meetups or workshops to connect with fellow enthusiasts and professionals. These events are goldmines for networking, and sometimes even lead directly to job openings at companies like Referrals Only!
✨Show Off Your Projects
Start building a public portfolio showcasing your data science projects on platforms like GitHub or personal websites. Highlight unique analyses or models you've developed. This not only demonstrates your skills but also gets your name out there for roles like Lead Data Scientist at Referrals Only.
✨Leverage Professional Networks
Join professional bodies related to data science, like the Data Science Society or similar organisations. Getting involved can lead to mentorship opportunities and insider knowledge about full-time positions at companies like Referrals Only.
✨Apply Directly through Our Website
When you find a suitable opening like Lead Data Scientist at Referrals Only, make sure to apply directly through our website. It gives you an edge and shows you're keen to join our team. Plus, who doesn’t love a direct application? It’s easier than navigating through job boards!
We think you need these skills to ace Lead Data Scientist in City of Westminster
Some tips for your application 🫡
Show Off Your Projects:In the world of data science, your projects can speak volumes about your skills. Make sure to showcase a few key projects in your CV or portfolio, especially those that highlight your ability to work with data sets, build models, or use relevant tools like Python, R, or SQL. Don’t forget to include links to any GitHub repositories if applicable!
Quantify Your Achievements:Employers love numbers! When drafting your CV, highlight your achievements with quantifiable results. For instance, mention how your data analysis led to a certain percentage increase in efficiency or revenue at a previous job or project. These details can really make your application pop!
Craft a Tailored Cover Letter:For a full-time role at Referrals Only, your cover letter should reflect your passion for data science and your excitement about the specific projects or values of the company. Dive into why you’re a good fit, how your skills align with their needs, and any unique perspectives you can bring to the team.
Stand Out with Relevant Courses and Certifications:Although experience talks, relevant courses or certifications can be your ticket to impressing hiring managers at Referrals Only. Mention any standout courses you've completed that equipped you with essential skills, such as machine learning certifications or data visualisation courses. This shows your commitment to continuously developing your skills in the field!
How to prepare for a job interview at Referrals Only
✨Brush Up on Your Statistics
For a data science role, we need to seriously sharpen our statistics skills. Get ready to tackle technical questions on probability distributions, hypothesis testing, and regression analysis. These are often the bread and butter of data science interviews, so don't just skim over them!
✨Showcase Your Projects
Prepare a killer portfolio showcasing your data science projects. We should include details about the datasets used, the tools and techniques applied, and the impact of your findings. If we can walk them through a particularly challenging project or a cool visualisation that had real-world implications, it’ll really make us stand out!
✨Get Comfortable with Python and R
Most data science positions require us to be proficient in programming languages like Python and R. We should practice common libraries like pandas, NumPy, and scikit-learn, and be ready for live coding exercises or algorithm questions. Showing off our coding chops can really impress the interviewers at Referrals Only!
✨Prepare for Case Studies
Expect to encounter real-world case studies during the interview. We might be asked how we’d approach a data problem or analyse a dataset to extract insights. It's essential to think out loud and demonstrate our problem-solving process so that the interviewer can see our logical thinking in action.
