Senior Data Scientist - Fraud in Manchester

Senior Data Scientist - Fraud in Manchester

Manchester Full-Time 60000 - 80000 £ / year (est.) No working from home possible
helloprima

At a Glance

  • Tasks: Tackle fraud challenges in motor insurance and improve detection across multiple markets.
  • Company: Join a leading online motor insurance provider trusted by over 5 million drivers.
  • Benefits: Competitive salary, flexible working options, and opportunities for professional growth.
  • Other info: Dynamic team environment with a focus on innovation and collaboration.
  • Why this job: Make a real impact on fraud detection and help shape the future of insurance.
  • Qualifications: Strong data science skills and business acumen required.

The predicted salary is between 60000 - 80000 £ per year.

Are you looking for a new challenge? Fancy helping us shape the future of motor insurance? Prima could be the place for you. Since 2015, we’ve been using our love of data and tech to rethink motor insurance and bring drivers a great experience at a great price. Our story began in Italy, where we’ve quickly become the number one online motor insurance provider. In fact, we’re trusted by over 5 million drivers. And now we’re expanding to help millions more drivers in the UK and Spain.

To help fuel that growth, we need a Senior Data Scientist to join our Anti Fraud Team. In this role, you'll have the opportunity to tackle fraud, one of the most impactful and fast-evolving challenges in insurance. You will do this from a global perspective. In fact, the team is responsible for detecting fraudulent claims across all Prima markets: the UK, Spain and Italy.

You will collaborate with engineers, claims handlers, and business leaders to improve the detection of fraud, directly influencing real world fraud decisions with impact on the company's bottom line measured in millions. This is a highly practical area of work where strong business judgment is just as important as technical expertise.

Excited to make an impact?

Senior Data Scientist - Fraud in Manchester employer: helloprima

At Prima, we pride ourselves on being an innovative employer that values data-driven decision-making and collaboration. Our vibrant work culture fosters creativity and growth, providing employees with ample opportunities to develop their skills while tackling real-world challenges in the motor insurance sector. With a commitment to shaping the future of insurance and a supportive environment, joining our Anti Fraud Team means making a meaningful impact across multiple markets, all while enjoying the benefits of working for a rapidly expanding company.

helloprima

Contact Details:

helloprima Recruitment Team

StudySmarter Expert Advice🤫

We think this is how you could land Senior Data Scientist - Fraud in Manchester

Tip Number 1

Network like a pro! Reach out to current employees at Prima on LinkedIn or other platforms. Ask them about their experiences and the company culture; it’s a great way to get insider info and show your genuine interest.

Tip Number 2

Prepare for the interview by brushing up on your technical skills and business acumen. Since you’ll be tackling fraud, think of real-world examples where your data science skills made a difference. We want to see how you can apply your expertise!

Tip Number 3

Don’t just wait for job postings! Keep an eye on our website and apply directly there. It shows initiative and gives you a better chance of being noticed by the hiring team.

Tip Number 4

Follow up after your interview! A quick thank-you email can go a long way in keeping you top of mind. Mention something specific from your conversation to remind them why you’re the perfect fit for the Senior Data Scientist role.

We think you need these skills to ace Senior Data Scientist - Fraud in Manchester

Data Science
Fraud Detection
Statistical Analysis
Machine Learning
Collaboration
Business Judgment
Data Interpretation

Some tips for your application 🫡

Tailor Your CV:Make sure your CV is tailored to the Senior Data Scientist role. Highlight your experience with fraud detection and data analysis, and don’t forget to showcase any relevant projects that demonstrate your skills in a practical setting.

Craft a Compelling Cover Letter:Your cover letter is your chance to shine! Use it to explain why you’re excited about the role and how your background aligns with our mission at Prima. Be sure to mention specific experiences that relate to tackling fraud in insurance.

Showcase Your Technical Skills:We want to see your technical prowess! Include any programming languages, tools, or methodologies you’re proficient in that are relevant to data science and fraud detection. This will help us understand how you can contribute to our team.

Apply Through Our Website:Don’t forget to apply through our website! It’s the best way for us to receive your application and ensures you’re considered for the role. Plus, it shows you’re serious about joining our team at Prima!

How to prepare for a job interview at helloprima

Know Your Data Inside Out

As a Senior Data Scientist, you'll need to demonstrate your expertise in data analysis and fraud detection. Brush up on relevant algorithms and techniques, and be ready to discuss how you've applied them in real-world scenarios. Show them you can turn data into actionable insights!

Understand the Business Impact

It's not just about the numbers; it's about how they affect the business. Familiarise yourself with how fraud impacts motor insurance and be prepared to discuss strategies for mitigating it. This will show that you understand the bigger picture and can contribute to the company's bottom line.

Collaborate Like a Pro

You'll be working with engineers, claims handlers, and business leaders, so highlight your teamwork skills. Prepare examples of past collaborations where you successfully influenced decisions or improved processes. This will demonstrate your ability to work cross-functionally.

Stay Current with Trends

Fraud detection is a fast-evolving field, so keep up with the latest trends and technologies. Be ready to discuss recent developments in fraud detection and how they could apply to Prima's operations. This shows your passion for the field and your commitment to continuous learning.