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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, comprehensive benefits, and a supportive work environment.
- Why this job: Join a cutting-edge 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 with excellent career growth.
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) in London employer: Orange Malone
Contact Detail:
Orange Malone Recruiting Team
StudySmarter Expert Advice 🤫
We think this is how you could land Applied Data Scientist (Actuarial) in London
✨Tip Number 1
Network like a pro! Reach out to industry professionals on LinkedIn or attend local meetups. We can’t stress enough how valuable personal connections can be in landing that Applied Data Scientist role.
✨Tip Number 2
Showcase your skills! Create a portfolio of your predictive models and AI solutions. We recommend sharing these on platforms like GitHub to demonstrate your technical prowess and real-world application.
✨Tip Number 3
Prepare for interviews by practising common data science scenarios. We suggest simulating stakeholder management discussions to show how you can translate complex ideas into business value, just like the job requires.
✨Tip Number 4
Apply through our website! It’s the best way to ensure your application gets noticed. Plus, we’re always looking for talent that fits our culture and values, so don’t hesitate to put yourself out there!
We think you need these skills to ace Applied Data Scientist (Actuarial) in London
Some tips for your application 🫡
Tailor Your CV: Make sure your CV highlights your experience in data science and insurance. We want to see how your skills in Python, SQL, and AI fit into the role of an Applied Data Scientist. Don’t just list your jobs; show us how you’ve made an impact!
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. We love seeing candidates who can connect their technical skills with real-world applications, so tell us your story!
Showcase Your Projects: If you've worked on any relevant projects, whether in a professional or personal capacity, make sure to mention them. We’re interested in how you’ve built predictive models or used AI solutions. Concrete examples will help us understand your capabilities better!
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 don’t miss out on any important updates. Plus, it shows us you’re keen on joining our team at StudySmarter!
How to prepare for a job interview at Orange Malone
✨Know Your Stuff
Make sure you brush up on your Python skills, especially with libraries like Pandas and Scikit-learn. Be ready to discuss how you've used these tools in real-world scenarios, particularly in the insurance sector.
✨Showcase Your Problem-Solving Skills
Prepare examples of how you've turned hypotheses into actionable insights. Think about specific projects where you built predictive models or AI solutions that had a tangible impact on decision-making.
✨Communicate Clearly
Since strong communication is key, practice explaining complex technical concepts in simple terms. You might be asked to translate data findings into business value, so be ready to demonstrate this skill.
✨Understand the Industry
Familiarise yourself with current trends in non-life insurance and how data science is shaping the industry. Being able to discuss these topics will show your passion and understanding of the role.
