At a Glance
- 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 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 Colchester employer: Lorien
Contact Detail:
Lorien Recruiting Team
StudySmarter Expert Advice 🤫
We think this is how you could land Data Engineer - Amplitude/ Mixpanel Exp in Colchester
✨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 not only impress potential employers but also demonstrate 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. Practice common interview questions related to data analytics to boost your confidence.
✨Tip Number 4
Don’t forget to apply through our website! We’ve got loads of opportunities that match your skills. Plus, it’s a great way to ensure your application gets seen by the right people.
We think you need these skills to ace Data Engineer - Amplitude/ Mixpanel Exp in Colchester
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 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!
How to prepare for a job interview at Lorien
✨Know Your Tools Inside Out
Make sure you’re well-versed in Amplitude and Mixpanel, as these are key to the role. Brush up on how to use these platforms for product analytics, and be ready to discuss specific projects where you've leveraged them.
✨Showcase Your SQL Skills
Since strong SQL skills are a must, prepare to demonstrate your ability to work with large datasets. Think of examples where you've used SQL to solve complex problems or derive insights, and be ready to explain your thought process.
✨Prepare for Technical Questions
Expect questions around data modelling, A/B testing, and predictive analytics. Review your past experiences and be prepared to discuss how you’ve designed experiments or built models that improved user engagement.
✨Bring Your Visualisation Game
Familiarity with BI tools like Tableau or Power BI is essential. Prepare to talk about how you've created dashboards or self-serve analytics tools that empowered teams with real-time insights, and be ready to share any visualisations you've built.