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- Tasks: Build machine learning models and develop metrics to combat fraud.
- Company: Sardine, a leader in fraud risk management with a remote-first culture.
- Benefits: Generous compensation, flexible time off, health coverage, and home office stipends.
- Other info: Remote work environment with opportunities for professional growth.
- Why this job: Join a mission-driven team and make a real impact in fraud prevention.
- Qualifications: 7+ years in data science, proficient in Python/R, SQL, and BI tools.
The predicted salary is between 70000 - 105000 £ per year.
Sardine is seeking a data-driven professional to enhance risk strategies against fraud. This role involves building machine learning models, developing metrics, and collaborating with clients to manage fraud challenges.
Ideal candidates will have over 7 years in data science or risk domains, proficient in Python/R and SQL, and experience with BI tools.
This position supports a remote-first work culture and offers generous compensation and benefits including flexible time off, health coverage, and stipends for home office setup.
Senior Data Scientist: Fraud Risk (Remote UK/Europe) employer: Sardine
Contact Detail:
Sardine Recruiting Team
StudySmarter Expert Advice 🤫
We think this is how you could land Senior Data Scientist: Fraud Risk (Remote UK/Europe)
✨Tip Number 1
Network like a pro! Reach out to professionals in the data science and fraud risk fields on LinkedIn. Join relevant groups and engage in discussions to get your name out there and learn about potential job openings.
✨Tip Number 2
Show off your skills! Create a portfolio showcasing your machine learning models and metrics you've developed. This will give you an edge when discussing your experience during interviews.
✨Tip Number 3
Prepare for those interviews! Research common questions related to fraud risk and data science, and practice your answers. We recommend using the STAR method to structure your responses effectively.
✨Tip Number 4
Apply through our website! It’s the best way to ensure your application gets noticed. Plus, we love seeing candidates who are proactive about their job search!
We think you need these skills to ace Senior Data Scientist: Fraud Risk (Remote UK/Europe)
Some tips for your application 🫡
Tailor Your CV: Make sure your CV highlights your experience in data science and risk management. We want to see how your skills in Python, R, and SQL shine through, so don’t hold back on showcasing relevant projects!
Craft a Compelling Cover Letter: Your cover letter is your chance to tell us why you’re the perfect fit for the Senior Data Scientist role. Share specific examples of how you've tackled fraud challenges in the past and how you can contribute to our mission.
Showcase Your Technical Skills: Since this role involves building machine learning models, make sure to mention any relevant tools or technologies you’ve used. We love seeing candidates who are hands-on with BI tools and can demonstrate their analytical prowess.
Apply Through Our Website: We encourage you to apply directly through our website. It’s the best way for us to receive your application and ensures you’re considered for the role. Plus, it’s super easy and straightforward!
How to prepare for a job interview at Sardine
✨Know Your Data Science Stuff
Make sure you brush up on your data science fundamentals, especially around machine learning models and risk strategies. Be ready to discuss specific projects where you've used Python or R to tackle fraud challenges, as this will show your hands-on experience.
✨Showcase Your Problem-Solving Skills
Prepare to share examples of how you've developed metrics or solved complex fraud issues in the past. Think about the methodologies you used and be ready to explain your thought process clearly. This will demonstrate your analytical skills and ability to think critically.
✨Familiarise Yourself with BI Tools
Since the role involves working with BI tools, make sure you know which ones you're comfortable with and can discuss how you've used them in previous roles. Highlight any specific instances where these tools helped you make data-driven decisions.
✨Embrace the Remote Culture
As this position supports a remote-first work culture, be prepared to discuss how you manage your time and collaborate effectively in a remote setting. Share any experiences you've had working remotely and how you maintain communication with team members and clients.