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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 fintech environment.
- Benefits: Competitive pay, remote work flexibility, and a chance to enhance your skills.
- Other info: Exciting opportunity for career growth in a fast-paced industry.
- Why this job: Make a real difference by improving 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.
- 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 Ipswich employer: Lorien
Contact Detail:
Lorien Recruiting Team
StudySmarter Expert Advice 🤫
We think this is how you could land Data Engineer - Amplitude/ Mixpanel Exp in Ipswich
✨Tip Number 1
Network like a pro! Reach out to folks in your industry on LinkedIn or at events. A friendly chat can lead to opportunities that aren’t even advertised yet.
✨Tip Number 2
Show off your skills! Create a portfolio or a GitHub repository showcasing your data models and analytics projects. This gives potential employers a taste of what you can do.
✨Tip Number 3
Prepare for interviews by practising common data engineering questions. We recommend doing mock interviews with friends or using online platforms to get comfortable.
✨Tip Number 4
Don’t forget to apply through our website! It’s the best way to ensure your application gets seen by the right people. Plus, we love seeing familiar faces!
We think you need these skills to ace Data Engineer - Amplitude/ Mixpanel Exp in Ipswich
Some tips for your application 🫡
Tailor Your CV: Make sure your CV speaks directly to the job description. Highlight your experience with data science, analytics, and any relevant tools like Mixpanel or Amplitude. We want to see how your skills match what we're looking for!
Showcase Your Projects: Include specific examples of projects where you've developed data models or conducted A/B testing. We love seeing real-world applications of your skills, so don’t hold back on the details!
Craft a Compelling Cover Letter: Your cover letter is your chance to shine! Use it to explain why you're passionate about this role and how your background in fintech or insurance makes you a great fit. We want to feel your enthusiasm!
Apply Through Our Website: We encourage you to apply through our website for a smoother process. It helps us keep track of your application and ensures you don’t miss out on any important updates from us!
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 in the job description, like Amplitude and Mixpanel. Brush up on your SQL and Python or R skills, as these will likely come up during technical discussions.
✨Showcase Your Experience
Prepare to discuss specific projects where you've developed data models or conducted A/B testing. Use concrete examples that highlight your ability to drive user engagement through data-driven decisions.
✨Understand the Industry
Familiarise yourself with the insurance and fintech sectors. Being able to speak knowledgeably about workplace pensions and financial wellbeing solutions will demonstrate your genuine interest and understanding of the role.
✨Ask Insightful Questions
Prepare thoughtful questions about the company’s data strategy and how they use analytics to enhance user experience. This shows your enthusiasm for the role and helps you gauge if the company is the right fit for you.