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- Tasks: Develop and implement data models and analytics frameworks to enhance user engagement.
- Company: Join a leading insurance client in the fintech space with a focus on innovation.
- Benefits: Competitive pay, remote work flexibility, and opportunities for professional growth.
- Other info: Remote role with potential travel to London; great for career advancement.
- Why this job: Make a real impact by analysing data and improving user experiences in a dynamic industry.
- Qualifications: Strong SQL skills and experience in data science or analytics roles are essential.
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 include:
- Own the development and implementation of data models, analytics frameworks, and experimentation strategies across the platform.
- Design and analyze experiments (A/B testing, cohort studies) to assess feature effectiveness and improve user engagement.
Requirements:
- 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.
- Experience with data visualization and BI tools (e.g., Looker, Power BI, Tableau).
- Understanding of workplace pensions, retirement planning, or financial wellbeing solutions.
Data Engineer SQL - Remote (m/w/d) employer: Lorien
Contact Detail:
Lorien Recruiting Team
StudySmarter Expert Advice 🤫
We think this is how you could land Data Engineer SQL - Remote (m/w/d)
✨Tip Number 1
Network like a pro! Reach out to your connections in the fintech and insurance sectors. We all know that sometimes it’s not just what you know, but who you know that can land you that interview.
✨Tip Number 2
Show off your skills! Create a portfolio showcasing your data models, analytics frameworks, and any A/B testing you've done. This is your chance to shine and demonstrate your hands-on experience with SQL and Python.
✨Tip Number 3
Prepare for those interviews! Brush up on your knowledge of workplace pensions and financial wellbeing solutions. We want you to be ready to discuss how your expertise can improve user engagement and feature effectiveness.
✨Tip Number 4
Apply through our website! It’s the easiest way to get your application noticed. Plus, we’re always on the lookout for talented individuals like you to join our team.
We think you need these skills to ace Data Engineer SQL - Remote (m/w/d)
Some tips for your application 🫡
Tailor Your CV: Make sure your CV highlights your SQL skills and experience with large data sets. We want to see how your background aligns with the role, so don’t be shy about showcasing your relevant projects!
Craft a Compelling Cover Letter: Your cover letter is your chance to shine! Use it to explain why you’re passionate about data engineering and how your experience in fintech or insurance makes you a perfect fit for us.
Showcase Your Technical Skills: Don’t forget to mention your proficiency in Python or R, as well as any experience with BI tools like Tableau or Power BI. We love seeing candidates who can bring technical expertise to the table!
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 this exciting opportunity!
How to prepare for a job interview at Lorien
✨Know Your SQL Inside Out
Make sure you brush up on your SQL skills before the interview. Be prepared to discuss complex queries and how you've used SQL to manipulate large datasets in your previous roles. Practising some common SQL problems can really help you stand out.
✨Showcase Your Data Visualisation Skills
Familiarise yourself with data visualisation tools like Looker, Power BI, or Tableau. Bring examples of your work to the interview, and be ready to explain how your visualisations have helped drive decisions in past projects.
✨Understand the Business Context
Since this role is within the insurance sector, do a bit of research on workplace pensions and financial wellbeing solutions. Being able to discuss how your data engineering skills can impact these areas will show that you're not just technically proficient but also understand the business needs.
✨Prepare for Technical Questions
Expect technical questions related to machine learning, predictive modelling, and statistical analysis. Brush up on your knowledge in these areas and think of real-world applications where you've successfully implemented these techniques.