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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 Doncaster employer: Lorien
Contact Detail:
Lorien Recruiting Team
StudySmarter Expert Advice 🤫
We think this is how you could land Data Engineer - Amplitude/ Mixpanel Exp in Doncaster
✨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 a leg up.
✨Tip Number 2
Show off your skills! Create a portfolio showcasing your data models, dashboards, and any experiments you've designed. This will not only impress potential employers but also give them a taste of what you can bring to the table.
✨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, and think of examples where you've used data to drive decisions.
✨Tip Number 4
Don’t forget to apply through our website! We’ve got loads of opportunities waiting for talented Data Engineers like you. 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 Doncaster
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 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 datasets. Consider bringing examples of complex queries you've written or challenges you've overcome using SQL in previous roles.
✨Prepare for Technical Questions
Expect questions about data models, A/B testing, and predictive modelling. Be ready to explain your thought process and methodologies clearly, as this will show your depth of knowledge and problem-solving skills.
✨Understand the Industry Context
Familiarise yourself with the insurance and fintech sectors, especially around workplace pensions and financial wellbeing. This will help you relate your technical skills to the specific needs of the company and demonstrate your genuine interest in the role.