At a Glance
- Tasks: Design and improve fraud detection systems to optimise claims processing.
- Company: Growing European car insurance tech company with a supportive international team.
- Benefits: Salary up to £70k, bonus, and 30 days remote work from any EU country.
- Other info: Diverse and inclusive environment with various support networks.
- Why this job: Make a real impact in fraud detection while working flexibly and collaboratively.
- Qualifications: Experience in fraud detection, strong Python skills, and knowledge of data analysis tools.
The predicted salary is between 70000 - 70000 € per year.
Are you a Data Scientist with Fraud Detection experience? You could be progressing your career in as a Senior Data Scientist as part of a friendly and supportive international team at a growing and hugely successful European car insurance tech company as they expand their UK presence.
As a Senior Data Scientist within the Anti Fraud Team you'll design and improve fraud detection systems that prioritise high risk claims, optimising the trade‑off between detection accuracy and operational efficiency. Developing deep expertise in fraud dynamics, you'll identify emerging fraud patterns, understand how they evolve across the insurance lifecycle and translate these insights into effective detection and prevention strategies. Collaborating across teams and functions, you'll work closely with fraud analysts, engineers and product managers within a supportive, diverse environment where you'll have your voice heard.
Location / WFH: The company is a big advocate of flexible working and prides itself on DEI; you can work from home most of the time, meeting up with colleagues in the London office once a week.
About you:
- You have experience in analytical fraud detection in the Insurance, Finance or Law Enforcement sectors.
- You have a strong knowledge of network analysis, anomaly detection or risk scoring and segmentation to real fraud problems.
- You have strong Python programming skills, especially in the data domain, and fluent use of Git.
- You have a good knowledge of Spark, SQL or other data‑oriented programming language and are proficient with standard data wrangling and modelling libraries (e.g. Pandas, Keras, XGBoost, LightGBM).
- You're collaborative and pragmatic with great communication skills.
What's in it for you:
- As a Senior Data Scientist (Fraud Detection) you will receive a competitive package: Salary to £70k + bonus.
- Ability to work 30 days from any EU country.
- Diverse, inclusive team environment with a range of support networks (e.g. LGBTIQA+, Women's Networking group).
Apply now to find out more about this Senior Data Scientist (Fraud Detection) opportunity.
Senior Data Scientist - Fraud Detection in London employer: Client Server
Join a dynamic and innovative European car insurance tech company as a Senior Data Scientist in Fraud Detection, where you'll thrive in a flexible and inclusive work environment. With a competitive salary of up to £70k, the opportunity to work from home most of the time, and the chance to collaborate with a diverse team, you'll be empowered to develop your skills and make a meaningful impact on fraud detection strategies. This role not only offers professional growth but also the unique advantage of working within a supportive culture that values your contributions and promotes employee well-being.
StudySmarter Expert Advice🤫
We think this is how you could land Senior Data Scientist - Fraud Detection in London
✨Network Like a Pro
Get out there and connect with folks in the industry! Attend meetups, webinars, or even just grab a coffee with someone who’s already in the field. We all know that sometimes it’s not just what you know, but who you know that can help land that dream job.
✨Show Off Your Skills
Don’t just talk about your experience; showcase it! Create a portfolio of projects that highlight your fraud detection skills, especially using Python and data wrangling libraries. We love seeing real-world applications of your expertise, so make sure to share them during interviews!
✨Tailor Your Approach
When you’re reaching out to potential employers, make sure to tailor your message to each company. Mention how your experience aligns with their needs, especially in fraud detection. We want to see that you’ve done your homework and are genuinely interested in their mission.
✨Apply Through Our Website
If you’re keen on this Senior Data Scientist role, don’t forget to apply through our website! It’s the best way to ensure your application gets seen by the right people. Plus, we’re all about making the process as smooth as possible for you.
We think you need these skills to ace Senior Data Scientist - Fraud Detection in London
Some tips for your application 🫡
Tailor Your CV:Make sure your CV highlights your experience in fraud detection and relevant skills like Python and SQL. We want to see how your background aligns with the role, so don’t be shy about showcasing your achievements!
Craft a Compelling Cover Letter:Your cover letter is your chance to shine! Use it to explain why you’re passionate about fraud detection and how you can contribute to our team. Keep it friendly and professional, just like us at StudySmarter.
Showcase Your Projects:If you've worked on any interesting projects related to fraud detection or data science, make sure to mention them. We love seeing real-world applications of your skills, so share those insights with us!
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 this exciting opportunity. Plus, it’s super easy!
How to prepare for a job interview at Client Server
✨Know Your Fraud Detection Stuff
Make sure you brush up on your knowledge of fraud detection systems and the specific techniques used in the insurance sector. Be ready to discuss your experience with network analysis, anomaly detection, and risk scoring, as these are key areas for the role.
✨Show Off Your Python Skills
Since strong Python programming skills are a must, prepare to demonstrate your proficiency. Bring examples of past projects where you've used Python for data wrangling or modelling, and be ready to talk about libraries like Pandas, Keras, or XGBoost.
✨Collaboration is Key
This role involves working closely with fraud analysts, engineers, and product managers. Think of examples from your past where you've successfully collaborated across teams. Highlight your communication skills and how you’ve contributed to a supportive team environment.
✨Be Ready for Scenario Questions
Expect to face scenario-based questions that test your problem-solving skills in real-world fraud situations. Prepare by thinking through potential fraud patterns and how you would approach detecting and preventing them, showcasing your analytical mindset.
