At a Glance
- Tasks: Lead the development of advanced Machine Learning models to enhance customer experiences.
- Company: Join Monzo, a forward-thinking bank focused on personalisation and customer-first solutions.
- Benefits: Flexible working hours, £1,000 learning budget, and part-time options available.
- Other info: Collaborative environment with opportunities for mentorship and career growth.
- Why this job: Make a real impact by improving banking through innovative Machine Learning solutions.
- Qualifications: Proven experience in deploying advanced ML models and strong Python and SQL skills.
The predicted salary is between 60000 - 80000 £ per year.
Personalisation is central to Monzo's mission to make money work for everyone. By delivering tailored recommendations, proactive insights, and intuitive experiences, we help customers make better financial decisions while strengthening their connection with the bank. Every model we build directly enhances the banking experience, making it more seamless, engaging, and rewarding.
Our Personalisation Data team brings together experts across four key disciplines: Analytics Engineers, Data Analysts, Machine Learning Scientists, and Data Scientists. As a Lead Machine Learning Scientist, you'll develop models that make every customer interaction more relevant and timely, ensuring they receive products and services tailored to their needs. From intelligent recommendations and predictive insights to seamless discovery and real-time personalisation, our Machine Learning Scientists tackle challenges that directly improve customer outcomes.
As a technical Individual Contributor (IC) leadership position, you will be expected to leverage your deep experience of developing and deploying advanced Machine Learning models. Your work may involve segmentation models to better understand customer behaviours, contextual bandits for optimising real-time decisions, or personalised ranking algorithms that improve search and discovery. You'll also build scalable, explainable, and responsible AI solutions that enhance trust, transparency, and the overall customer experience.
Day-to-day responsibilities include:
- Providing technical leadership and shipping highly impactful ML-based solutions.
- Embedding in a cross-functional product squad, working closely with product managers, data scientists, backend engineers, and designers in an agile environment.
- Leading the design and development of advanced real-time Machine Learning models.
- Providing technical leadership to drive up levels of technical expertise and best practice across the Machine Learning discipline.
- Working closely with our ML platform team to steer the ongoing development of tools to enable rapid iteration of models and optimisations of the full ML model lifecycle.
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).
You should have a multiple year track record of excellence leading the development and deployment of advanced Machine Learning models to tackle real business problems, preferably in a fast-moving tech company. You should also have experience developing and shipping state-of-the-art ML architectures to production and delivering business impact.
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. 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.
Lead Machine Learning Scientist in City of Westminster employer: Referrals Only
Monzo is an exceptional employer that prioritises personalisation and innovation in the banking sector, offering a dynamic work culture where your contributions directly enhance customer experiences. With flexible working hours, a generous learning budget, and a commitment to employee growth, Monzo fosters an environment that encourages experimentation and collaboration among talented professionals. Located in London, with options for distributed work across the UK, Monzo provides a unique opportunity to be part of a forward-thinking team dedicated to making money work for everyone.
StudySmarter Expert Advice🤫
We think this is how you could land Lead Machine Learning Scientist in City of Westminster
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We think you need these skills to ace Lead Machine Learning 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!
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✨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.
