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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.
The predicted salary is between 60000 - 60000 £ per year.
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 Cambridge employer: Lorien
Contact Detail:
Lorien Recruiting Team
StudySmarter Expert Advice 🤫
We think this is how you could land Data Engineer - Amplitude/ Mixpanel Exp in Cambridge
✨Tip Number 1
Network like a pro! Reach out to your connections in the fintech or insurance sectors. A friendly chat can lead to insider info about job openings that aren't even advertised yet.
✨Tip Number 2
Show off your skills! Create a portfolio showcasing your data models, dashboards, and any cool experiments you've designed. 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 SQL and Python skills. Be ready to discuss your experience with tools like Mixpanel and Amplitude, and how you've used them to drive user engagement.
✨Tip Number 4
Don't forget to apply through our website! We make it easy for you to find roles that match your skills and interests. Plus, it shows you're serious about joining our team!
We think you need these skills to ace Data Engineer - Amplitude/ Mixpanel Exp in Cambridge
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, make sure to include them in your application. We love seeing real-world examples of your work, especially if they involve A/B testing or creating dashboards that empower teams with insights.
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 Tools Inside Out
Make sure you’re well-versed in Mixpanel and Amplitude, as these are key to the role. Brush up on your SQL skills and be ready to discuss how you've used these tools in past projects. Prepare examples of how you've implemented data models or analytics frameworks.
✨Showcase Your Analytical Mindset
Be prepared to talk about your experience with A/B testing and cohort studies. Think of specific instances where your analysis led to improved user engagement or product features. This will demonstrate your ability to think critically and apply data-driven insights.
✨Bring Your Visualisation Game
Familiarise yourself with data visualisation tools like Looker or Tableau. Have a couple of examples ready where you created dashboards or self-serve analytics tools that empowered teams. This shows you can translate complex data into actionable insights.
✨Understand the Industry Context
Since this role is within the insurance sector, brush up on workplace pensions and financial wellbeing solutions. Being able to speak knowledgeably about the industry will set you apart and show your genuine interest in the role.