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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 - 72000 £ 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 Lincoln employer: Lorien
Contact Detail:
Lorien Recruiting Team
StudySmarter Expert Advice 🤫
We think this is how you could land Data Engineer - Amplitude/ Mixpanel Exp in Lincoln
✨Tip Number 1
Network like a pro! Reach out to your connections in the fintech and insurance sectors. A friendly chat can lead to opportunities that aren’t even advertised yet.
✨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 give potential employers a taste of what you can do.
✨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, as they’re key for this role.
✨Tip Number 4
Don’t forget to apply through our website! We’ve got loads of opportunities waiting for talented Data Engineers like you, and we want to make it easy for you to land that dream job.
We think you need these skills to ace Data Engineer - Amplitude/ Mixpanel Exp in Lincoln
Some tips for your application 🫡
Tailor Your CV: Make sure your CV is tailored to the Data Engineer role. Highlight your experience with data models, analytics frameworks, and any relevant tools like Amplitude or Mixpanel. We want to see how your skills match what we're looking for!
Showcase Your Projects: Include specific projects where you've developed segmentation or predictive models. If you've designed A/B tests or created dashboards, let us know! This helps us understand your hands-on experience and how you can contribute.
Be Clear and Concise: When writing your application, keep it clear and to the point. Use bullet points for your skills and experiences to make it easy for us to read. We appreciate straightforward applications that get right to the good stuff!
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, we love seeing candidates who follow the process!
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 how to use these tools effectively, as you might be asked to demonstrate your knowledge or even solve a problem on the spot.
✨Showcase Your SQL Skills
Since strong SQL skills are crucial for this role, prepare to discuss your experience with complex queries. Consider bringing examples of past projects where you used SQL to manipulate large datasets, as this will highlight your technical expertise.
✨Prepare for A/B Testing Questions
Given the emphasis on experimentation strategies, be ready to talk about your experience with A/B testing and cohort studies. Think of specific examples where your analysis led to actionable insights or improved user engagement.
✨Demonstrate Your Business Acumen
Understanding the insurance and fintech sectors is key. Research the company’s products and think about how your data engineering skills can enhance their offerings. This will show that you’re not just a tech whiz but also someone who understands the business context.