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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 dynamic team tackling real-world fraud challenges with innovative solutions.
- Qualifications: 7+ years in data science or risk, proficient in Python/R and SQL.
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
- Proficiency in Python/R and SQL
- 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) in London 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) in London
✨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 participate in discussions to get your name out there and show off your expertise.
✨Tip Number 2
Prepare for those interviews! Brush up on your Python, R, and SQL skills, and be ready to discuss your past projects. We recommend having a few examples of how you've tackled fraud challenges using machine learning models.
✨Tip Number 3
Don’t just apply anywhere; focus on companies that align with your values and work culture. Sardine’s remote-first approach is a great fit for many, so make sure to highlight why you’re excited about their mission when you connect with them.
✨Tip Number 4
Follow up after your applications! A quick message expressing your enthusiasm can set you apart from other candidates. We encourage you to apply through our website for the best chance at landing that Senior Data Scientist role!
We think you need these skills to ace Senior Data Scientist: Fraud Risk (Remote UK/Europe) in London
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 frameworks you’ve used. We love seeing candidates who are not just experienced but also passionate about their craft!
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 problems in previous roles. Think about the challenges you faced and how you overcame them, as this will demonstrate your analytical thinking and ability to adapt.
✨Familiarise Yourself with BI Tools
Since experience with BI tools is a must, make sure you can talk about the ones you've used and how they helped you in your work. If you have any specific examples of how these tools improved your data analysis or reporting, be ready to share!
✨Embrace the Remote Culture
As this role 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 stay connected with your team.