Senior ML Scientist: Fraud Detection & Production (Remote)

Senior ML Scientist: Fraud Detection & Production (Remote)

Full-Time 59400 - 72600 £ / year (est.) No working from home possible
T

At a Glance

  • Tasks: Detect suspicious user behaviour and build scalable ML systems.
  • Company: Join Monzo, a leading fintech company with a focus on innovation.
  • Benefits: Enjoy remote work, competitive salary, and opportunities for professional growth.
  • Other info: Collaborative environment with a multidisciplinary team dedicated to customer outcomes.
  • Why this job: Make a real impact in the fight against financial crime using cutting-edge technology.
  • Qualifications: Experience in machine learning and a passion for tackling fraud.

The predicted salary is between 59400 - 72600 £ per year.

Monzo is seeking an experienced Machine Learning Scientist to join our multidisciplinary squad in the UK, focusing on detecting suspicious user behavior and building scalable ML systems.

You’ll collaborate with ML scientists, data scientists, engineers, and risk managers to deliver measurable impact in production while adapting to evolving financial crime trends.

The role emphasizes experimentation, justified approaches, and customer outcomes.

#J-18808-Ljbffr

Senior ML Scientist: Fraud Detection & Production (Remote) employer: The Institute for Performance and Learning

Monzo is an exceptional employer that fosters a collaborative and innovative work culture, where you can make a real impact in the fight against financial crime. With a focus on employee growth, you'll have access to continuous learning opportunities and the chance to work alongside talented professionals in a remote setting, allowing for flexibility and work-life balance. Join us to be part of a forward-thinking team dedicated to delivering meaningful outcomes for our customers.

T

Contact Details:

The Institute for Performance and Learning Recruitment Team

StudySmarter Expert Advice🤫

We think this is how you could land Senior ML Scientist: Fraud Detection & Production (Remote)

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 The Institute for Performance and Learning!

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 Senior ML Scientist: Fraud Detection & Production (Remote) at The Institute for Performance and Learning.

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 The Institute for Performance and Learning.

Apply Directly through Our Website

When you find a suitable opening like Senior ML Scientist: Fraud Detection & Production (Remote) at The Institute for Performance and Learning, 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 Senior ML Scientist: Fraud Detection & Production (Remote)

Machine Learning
Fraud Detection
Scalable ML Systems
Collaboration
Experimentation
Data Analysis
Risk Management

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 The Institute for Performance and Learning, 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 The Institute for Performance and Learning. 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 The Institute for Performance and Learning

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 The Institute for Performance and Learning!

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.