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- Tasks: Lead data model development and create analytics frameworks for impactful insights.
- Company: Join a leading insurance client focused on innovation and data-driven decisions.
- Benefits: Competitive pay, hybrid work model, and opportunities for professional growth.
- Why this job: Make a difference by enhancing member engagement through data science.
- Qualifications: Extensive experience in product data analytics and strong analytical skills.
- Other info: 6-month contract with potential for future opportunities.
The predicted salary is between 42000 - 84000 £ per year.
We are recruiting for a Senior Data Scientist with extensive product data analytics experience to join one of our Insurance clients on a 6-month contract. Inside IR35 Hybrid.
Responsibilities:
- Own the development and implementation of data models, analytics frameworks, and experimentation strategies across the platform.
- Develop segmentation and predictive models to support personalization and proactive member engagement based on demographics, behavior, and interaction activities.
- Design and analyze experiments (A/B testing, cohort studies) to assess feature effectiveness and improve user engagement.
- Create dashboards and self-serve analytics tools to empower internal teams with real-time insights.
Skills:
Senior Data Scientist- Pensions employer: Lorien
Contact Detail:
Lorien Recruiting Team
StudySmarter Expert Advice 🤫
We think this is how you could land Senior Data Scientist- Pensions
✨Tip Number 1
Network like a pro! Reach out to connections in the insurance and data science fields. Attend industry meetups or webinars to get your name out there and learn about hidden job opportunities.
✨Tip Number 2
Show off your skills! Create a portfolio showcasing your data models, analytics frameworks, and any A/B testing you've done. This will give potential employers a taste of what you can bring to the table.
✨Tip Number 3
Prepare for interviews by brushing up on your technical skills. Be ready to discuss your experience with segmentation and predictive models, as well as how you've used data to drive user engagement in past roles.
✨Tip Number 4
Don't forget to apply through our website! We make it easy for you to find and apply for jobs that match your skills. Plus, it shows you're serious about joining our team!
We think you need these skills to ace Senior Data Scientist- Pensions
Some tips for your application 🫡
Tailor Your CV: Make sure your CV highlights your extensive product data analytics experience. We want to see how your skills align with the responsibilities of developing data models and analytics frameworks.
Showcase Your Projects: Include specific examples of past projects where you've designed and analysed experiments, like A/B testing or cohort studies. This will help us understand your hands-on experience in improving user engagement.
Be Clear and Concise: When writing your application, keep it clear and to the point. We appreciate straightforward communication that gets right to the heart of your qualifications and experiences.
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!
How to prepare for a job interview at Lorien
✨Know Your Data Models
Make sure you brush up on your knowledge of data models and analytics frameworks. Be ready to discuss specific examples of how you've developed and implemented these in previous roles, especially in the context of product data analytics.
✨Showcase Experimentation Skills
Prepare to talk about your experience with A/B testing and cohort studies. Have a couple of examples ready where you designed experiments to assess feature effectiveness and how those insights improved user engagement.
✨Dashboards and Tools Mastery
Familiarise yourself with the tools you've used to create dashboards and self-serve analytics. Be prepared to explain how these tools empowered teams with real-time insights and contributed to decision-making processes.
✨Engage with Personalisation Strategies
Understand the importance of personalisation in member engagement. Think of ways you've used segmentation and predictive models to tailor experiences based on demographics and behaviour, and be ready to share those insights during the interview.
