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- Tasks: Develop and implement data models and analytics frameworks for impactful insights.
- Company: Join a leading insurance client in a dynamic, remote-friendly environment.
- Benefits: Competitive pay, flexible working, and opportunities for professional growth.
- Other info: Exciting contract role with potential travel to London.
- Why this job: Make a real difference in user engagement through data-driven strategies.
- Qualifications: Experience in data science, strong SQL skills, and familiarity with analytics tools.
Remote working - some travel to London may be required
6 month contract
£600 - Inside of IR35
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.
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 etc.
- 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 & Expertise:
- Extensive experience in data science, analytics, or related roles—ideally within fintech, pensions, insurance, or employee benefits domains.
- Strong SQL skills and experience working with large, complex data sets.
- Proficiency in SQL and Python or R, with hands-on experience in machine learning, predictive modeling, and statistical analysis.
- Proven experience working directly with product analytics platforms like Mixpanel, Amplitude, or similar tools.
- Experience with data visualization and BI tools (e.g., Looker, Power BI, Tableau).
- Experience working with multi-tenant platforms or white-labelled products.
- Understanding of workplace pensions, retirement planning, or financial wellbeing solutions.
- Familiarity with event tracking and user behavior tools (e.g., Amplitude, Mixpanel, Segment).
Data Engineer - Amplitude/ Mixpanel Exp in Manchester employer: Lorien
Contact Detail:
Lorien Recruiting Team
StudySmarter Expert Advice 🤫
We think this is how you could land Data Engineer - Amplitude/ Mixpanel Exp in Manchester
✨Tip Number 1
Network like a pro! Reach out to your connections in the fintech and insurance sectors. We all know that sometimes it’s not just what you know, but who you know that can land you that interview.
✨Tip Number 2
Show off your skills! Create a portfolio showcasing your data models, dashboards, or any projects you've worked on with Mixpanel or Amplitude. We want to see your hands-on experience in action!
✨Tip Number 3
Prepare for those interviews! Brush up on your SQL and Python skills, and be ready to discuss your experience with A/B testing and predictive modelling. We’re here to help you feel confident and ready to impress.
✨Tip Number 4
Apply through our website! It’s the best way to ensure your application gets seen by the right people. Plus, we love seeing candidates who take the initiative to connect directly with us.
We think you need these skills to ace Data Engineer - Amplitude/ Mixpanel Exp in Manchester
Some tips for your application 🫡
Tailor Your CV: Make sure your CV highlights your experience with data science and analytics, especially in fintech or insurance. We want to see how your skills align with the job description, so don’t be shy about showcasing your SQL and Python prowess!
Craft a Compelling Cover Letter: Your cover letter is your chance to shine! Use it to explain why you’re the perfect fit for this role. Mention your hands-on experience with Mixpanel or Amplitude and how you’ve used data to drive user engagement in past projects.
Showcase Relevant Projects: If you've worked on any relevant projects, especially those involving A/B testing or predictive modelling, make sure to include them. We love seeing real-world applications of your skills, so don’t hold back!
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 the role. Plus, it’s super easy – just a few clicks and you’re done!
How to prepare for a job interview at Lorien
✨Know Your Tools Inside Out
Make sure you’re well-versed in the data analytics platforms mentioned, like Amplitude and Mixpanel. Brush up on how to use these tools effectively, as you might be asked to demonstrate your knowledge or even solve a problem on the spot.
✨Showcase Your SQL Skills
Since strong SQL skills are crucial for this role, prepare to discuss your experience with complex queries. Consider bringing examples of past projects where you used SQL to manipulate large datasets, as this will highlight your technical expertise.
✨Prepare for A/B Testing Questions
Given the emphasis on experimentation strategies, be ready to talk about your experience with A/B testing and cohort studies. Think of specific examples where your analysis led to actionable insights or improved user engagement.
✨Demonstrate Your Business Acumen
Understanding the insurance and fintech sectors is key. Research the company’s products and think about how your data engineering skills can enhance their offerings. This will show that you’re not just a techie but also someone who understands the business impact of your work.