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- Tasks: Transform data into impactful tools and predictive models for insurance.
- Company: Reputable non-life insurer with a focus on innovation and employee care.
- Benefits: Great salary, benefits package, and a supportive work environment.
- Why this job: Join a high-tech team and make a real difference in the insurance industry.
- Qualifications: Strong Python skills and recent insurance experience required.
- Other info: Work in a dynamic London office four days a week.
The predicted salary is between 36000 - 60000 £ per year.
Orange Malone is working with a non-life insurer that is looking for a Data Scientist with strong insurance skills (this would be perfect for an actuary that is looking to specialise in data analytics). As an Applied Data Scientist, this individual bridges the gap between data collection and real-world application. They build production-grade predictive models and Generative AI solutions that empower underwriters to make sharper, faster decisions within a high-tech, SaaS-driven environment.
Key Responsibilities:
- Solution Delivery: Turning hypotheses into live tools, moving beyond simple reporting to advanced predictive modeling.
- Technical Leadership: Mentoring the team in Python and modeling best practices while collaborating in cross-functional agile squads.
- Stakeholder Management: Translating complex technical "whys" into clear business value and managing project timelines. You must have strong communication skills.
Qualifications:
- Technical Stack: Mastery of Python (Pandas, Scikit-learn, PyTorch), SQL/Snowflake, and AWS (Bedrock).
- AI Expertise: Practical experience with LLMs, agentic workflows, and deploying models into production.
- Industry Knowledge: A strong STEM or Actuarial background with experience in General or Specialty Insurance is highly preferred.
The company has an excellent reputation for looking after its employees and offers an excellent package of benefits. You would be working in their new London office four days a week. You MUST HAVE recent relevant insurance experience.
Applied Data Scientist (Actuarial) employer: Orange Malone
Contact Detail:
Orange Malone Recruiting Team
StudySmarter Expert Advice 🤫
We think this is how you could land Applied Data Scientist (Actuarial)
✨Tip Number 1
Network like a pro! Reach out to industry professionals on LinkedIn or attend local meetups. We can’t stress enough how important it is to make connections in the insurance and data science fields.
✨Tip Number 2
Show off your skills! Create a portfolio showcasing your predictive models and AI solutions. We recommend using platforms like GitHub to share your projects, especially those that relate to insurance analytics.
✨Tip Number 3
Prepare for interviews by brushing up on your communication skills. We need to be able to explain complex technical concepts in simple terms, so practice translating your work into business value.
✨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 Applied Data Scientist (Actuarial)
Some tips for your application 🫡
Tailor Your CV: Make sure your CV speaks directly to the role of Applied Data Scientist. Highlight your experience in insurance and data analytics, and don’t forget to showcase your Python and SQL skills. We want to see how you can bridge that gap between data collection and real-world application!
Craft a Compelling Cover Letter: Your cover letter is your chance to shine! Use it to explain why you're passionate about data science in the insurance sector. Share specific examples of how you've turned hypotheses into live tools or mentored others in Python. Let us know what makes you the perfect fit for our team!
Showcase Your Technical Skills: We’re looking for someone with a strong technical stack, so make sure to list your mastery of Python, SQL, and AWS clearly. If you’ve worked with LLMs or deployed models into production, shout about it! This is your moment to show off your expertise.
Apply Through Our Website: We encourage you to apply through our website for a smoother process. It helps us keep track of your application and ensures you don’t miss out on any important updates. Plus, it’s super easy – just a few clicks and you’re done!
How to prepare for a job interview at Orange Malone
✨Know Your Data Inside Out
Make sure you’re well-versed in the technical stack mentioned in the job description. Brush up on your Python skills, especially with libraries like Pandas and Scikit-learn, and be ready to discuss how you've used them in real-world scenarios. This will show that you can bridge the gap between data collection and application.
✨Showcase Your Problem-Solving Skills
Prepare to discuss specific examples where you've turned hypotheses into live tools or predictive models. Think about challenges you've faced in previous roles and how you overcame them. This will demonstrate your ability to deliver solutions and your understanding of the insurance industry.
✨Communicate Clearly and Effectively
Since strong communication skills are a must, practice explaining complex technical concepts in simple terms. You might be asked to translate technical jargon into business value during the interview, so being able to articulate your thoughts clearly will set you apart.
✨Familiarise Yourself with the Company Culture
Research the company’s values and work environment. Since they have a reputation for looking after their employees, think about how your own values align with theirs. Be prepared to discuss why you want to work there and how you can contribute to their team dynamics.
