At a Glance
- Tasks: Lead data science initiatives to combat fraud and enhance customer safety.
- Company: Join Wise, a global tech company revolutionising money management.
- Benefits: Competitive salary, inclusive culture, and opportunities for career growth.
- Other info: Collaborative environment that values diversity and continuous learning.
- Why this job: Make a real impact in fraud prevention while working with cutting-edge technology.
- Qualifications: Experience in data science, machine learning, and fraud detection required.
The predicted salary is between 60000 - 80000 £ per year.
Wise is a global technology company, building the best way to move and manage the world's money.
As part of our team, you will be helping us create an entirely new network for the world's money.
We're looking for a Lead Data Scientist to join our growing Trust & Safety Team in London.
This role is a unique opportunity to work behind the scenes of company transactions, understand how we mitigate risk and at the same time provide our customers with the seamless service they deserve.
As a Lead Data Scientist in the Trust & Safety team, you will leverage your expertise in data science to innovate and deploy models that detect and prevent fraudulent activities.
Lead the development and deployment of advanced machine learning models to detect, predict, and mitigate account takeover attempts.
Analyze large volumes of data to identify trends, patterns, and anomalies associated with potential ATO and Send Scam threats.
Design and implement experiments to evaluate the effectiveness of fraud detection systems and continuously improve their performance.
Collaborate with security analysts and engineers to translate business and security requirements into actionable data insights and solutions.
Develop robust data pipelines, algorithms, and tools to support real-time detection and response to ATO and Send Scam threats.
Stay informed about the latest advancements in data science, machine learning, and fraud prevention techniques to ensure state-of-the-art capabilities in ATO and Send Scam.
Mentor and guide junior data scientists, fostering a culture of collaboration and continuous learning within the team.
Proven experience in a data science role with a focus on fraud detection, cybersecurity, or fin tech related domains
Have build machine learning models for Send Scam (Victim Identification) and Account Takeover (ATO) Strong proficiency in machine learning frameworks and programming languages such as Python, R, or similar.
Experience working with large datasets and data processing technologies (e. g., Hadoop, Spark, SQL).
You have a solid knowledge of Python, and are able to make and justify design decisions in your code.
Ability to read through code, especially Java.
You have experience with mining into event logs to identify patterns and associations You are familiar with a range of model types, and know when and why to use gradient boosting, neural networks, regression, autoencoders, clustering or a blend of these Experience with statistical analysis and good presentation skills to drive insight into action; Strong problem solving skills with the ability to help refine problem statements and figure out how to solve them.
We're people building money without borders — without judgement or prejudice, too.
Inclusive teams help us live our values and make sure every Wiser feels respected, empowered to contribute towards our mission and able to progress in their careers.
StudySmarter Expert Advice🤫
We think this is how you could land Lead Data Scientist - Trust and Safety in Bristol
✨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 Wise!
✨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 - Trust and Safety at Wise.
✨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 Wise.
✨Apply Directly through Our Website
When you find a suitable opening like Lead Data Scientist - Trust and Safety at Wise, 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 - Trust and Safety in Bristol
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 Wise, 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 Wise. 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 Wise
✨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 Wise!
✨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.
