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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 43200 - 72000 £ 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.
Senior Data Scientist employer: Lorien
Contact Detail:
Lorien Recruiting Team
StudySmarter Expert Advice 🤫
We think this is how you could land Senior Data Scientist
✨Tip Number 1
Network like a pro! Reach out to your connections in the data science field, especially those who work in pensions or insurance. A friendly chat can lead to insider info about job openings that aren't even advertised yet.
✨Tip Number 2
Show off your skills! Prepare a portfolio showcasing your previous projects, especially those involving data models and analytics frameworks. This will give potential employers a taste of what you can bring to the table.
✨Tip Number 3
Practice makes perfect! Get ready for interviews by brushing up on your technical skills and being able to discuss your experience with A/B testing and predictive modelling. We want you to feel confident when discussing your expertise.
✨Tip Number 4
Apply through our website! It’s the best way to ensure your application gets noticed. Plus, we love seeing candidates who take the initiative to connect directly with us.
We think you need these skills to ace Senior Data Scientist
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 segmentation and predictive models you've developed. We love seeing real-world applications of your work, especially if they relate to personalization and member engagement.
Highlight Experimentation Skills: Don’t forget to mention your experience with A/B testing and cohort studies. We’re keen on candidates who can design and analyse experiments to improve user engagement, so make this a focal point!
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 during the process.
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 that led to measurable improvements in user engagement or feature effectiveness.
✨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 improved 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.
