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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: Dynamic role with potential for travel to London and excellent career advancement.
- Why this job: Make a real difference in user engagement through data-driven insights.
- 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.
- 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 Stockport employer: Lorien
Contact Detail:
Lorien Recruiting Team
StudySmarter Expert Advice 🤫
We think this is how you could land Data Engineer - Amplitude/ Mixpanel Exp in Stockport
✨Tip Number 1
Network like a pro! Reach out to your connections in the fintech and insurance sectors. A friendly chat can lead to insider info about job openings or even referrals that could give you an edge.
✨Tip Number 2
Show off your skills! Create a portfolio showcasing your data models, dashboards, and any A/B tests you've conducted. This will help potential employers see your hands-on experience with tools like Mixpanel and Amplitude.
✨Tip Number 3
Prepare for interviews by brushing up on your SQL and Python skills. Be ready to discuss your experience with predictive modelling and how you've used data to drive user engagement in past roles.
✨Tip Number 4
Don’t forget to apply through our website! We’ve got loads of opportunities that match your skills, and applying directly can sometimes speed up the process. Plus, we love seeing familiar faces!
We think you need these skills to ace Data Engineer - Amplitude/ Mixpanel Exp in Stockport
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 how to create dashboards and self-serve analytics tools, and be ready to discuss your past experiences using these platforms.
✨Showcase Your SQL Skills
Since strong SQL skills are a must-have, prepare to demonstrate your ability to work with large, complex data sets. You might be asked to solve a problem on the spot, so practice writing queries that showcase your analytical thinking.
✨Prepare for Technical Questions
Expect questions about machine learning, predictive modelling, and statistical analysis. Be ready to explain your thought process and the methodologies you've used in previous projects, especially those related to A/B testing and cohort studies.
✨Understand the Industry Context
Familiarise yourself with the insurance and fintech sectors, particularly around workplace pensions and financial wellbeing solutions. This knowledge will help you connect your technical skills to the business needs of the company during the interview.