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- Tasks: Develop and implement data models and analytics frameworks for impactful projects.
- Company: Join a leading insurance client with a focus on innovation.
- Benefits: Competitive pay, remote work flexibility, and opportunities for professional growth.
- Other info: Remote role with potential travel to London; great for career advancement.
- Why this job: Make a difference in data science while working with cutting-edge tools like Mixpanel and Amplitude.
- Qualifications: Experience in data science, strong SQL skills, and familiarity with product analytics platforms.
Remote working - some travel to London may be required.
6 month contract £550 - 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.
- 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 London employer: Lorien
Contact Detail:
Lorien Recruiting Team
StudySmarter Expert Advice 🤫
We think this is how you could land Data Engineer - Amplitude/ Mixpanel Exp in London
✨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. We want to see your hands-on experience with SQL, Python, or R in action!
✨Tip Number 3
Prepare for those interviews! Brush up on your knowledge of A/B testing and predictive modelling. We recommend practising common interview questions related to data analytics and product engagement strategies.
✨Tip Number 4
Apply through our website! It’s the best way to ensure your application gets seen by the right people. Plus, we’re always looking for talented individuals like you to join our team!
We think you need these skills to ace Data Engineer - Amplitude/ Mixpanel Exp in London
Some tips for your application 🫡
Tailor Your CV: Make sure your CV speaks directly to the job description. Highlight your experience with data models, analytics frameworks, and any relevant tools like Mixpanel or Amplitude. We want to see how your skills align with what we're looking for!
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 Data Engineer role. Share specific examples of your past work that relate to the responsibilities listed in the job description.
Showcase Your Technical Skills: Since this role requires strong SQL and Python or R skills, make sure to mention any projects where you've used these languages. We love seeing hands-on experience, especially with machine learning and predictive modelling!
Apply Through Our Website: Don't forget to apply through our website! It’s the best way for us to receive your application and ensures you’re considered for the role. Plus, it makes the whole process smoother for everyone involved.
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 your SQL and Python skills, and be ready to discuss how you've used these tools in past projects.
✨Showcase Your Problem-Solving Skills
Prepare to talk about specific challenges you've faced in data modelling or A/B testing. Use the STAR method (Situation, Task, Action, Result) to structure your answers and highlight your analytical thinking.
✨Demonstrate Your Understanding of User Engagement
Since the role focuses on improving user engagement, come prepared with examples of how you've developed segmentation or predictive models. Discuss how these strategies impacted user behaviour and engagement metrics.
✨Ask Insightful Questions
At the end of the interview, don’t shy away from asking questions. Inquire about the company’s current data initiatives or how they measure the success of their analytics frameworks. This shows your genuine interest in the role and the company.