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- Tasks: Develop and implement data models and analytics frameworks for impactful projects.
- Company: Join a leading insurance client in a dynamic, remote work environment.
- Benefits: Competitive pay, flexible remote work, and opportunities for professional growth.
- Other info: Exciting 6-month contract with potential travel to London.
- Why this job: Make a real difference in fintech while honing your data science skills.
- Qualifications: Strong SQL and Python/R skills with experience in data science and analytics.
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 Science Engineer - Remote employer: Lorien
Contact Detail:
Lorien Recruiting Team
StudySmarter Expert Advice 🤫
We think this is how you could land Data Science Engineer - Remote
✨Tip Number 1
Network like a pro! Reach out to folks in the data science community, especially those in fintech or insurance. Join relevant online forums and LinkedIn groups to connect with potential employers and get insider info on job openings.
✨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 will give you an edge and demonstrate your hands-on experience to potential employers.
✨Tip Number 3
Prepare for interviews by brushing up on SQL and Python or R. Be ready to discuss your experience with large datasets and how you've used machine learning in past projects. Practice common data science interview questions to boost your confidence.
✨Tip Number 4
Don't forget to apply through our website! We have loads of opportunities that might be perfect for 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 Science Engineer - Remote
Some tips for your application 🫡
Tailor Your CV: Make sure your CV highlights your experience in data science and analytics, especially if you've worked in fintech or insurance. We want to see how your skills match 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 specific projects where you've designed experiments or worked with large data sets, and let us know how you can contribute to our team.
Showcase Your Technical Skills: Since this role requires strong SQL and experience with data visualisation tools, make sure to include any relevant projects or experiences. If you've used Looker, Power BI, or Tableau, give us the details on how you leveraged these tools to drive insights.
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 makes the whole process smoother for everyone involved!
How to prepare for a job interview at Lorien
✨Know Your Data Inside Out
Make sure you brush up on your SQL and Python or R skills before the interview. Be ready to discuss specific projects where you've worked with large data sets, and how you applied machine learning or predictive modelling techniques. This will show that you’re not just familiar with the tools, but that you can use them effectively.
✨Showcase Your Experimentation Skills
Prepare to talk about your experience with A/B testing and cohort studies. Have examples ready that demonstrate how your analyses led to improved user engagement or feature effectiveness. This will highlight your ability to design and analyse experiments, which is crucial for the role.
✨Familiarise Yourself with the Industry
Since the role is within the insurance sector, it’s a good idea to understand workplace pensions and financial wellbeing solutions. Research current trends and challenges in the industry so you can speak knowledgeably about how your skills can contribute to their goals.
✨Visualisation is Key
Be prepared to discuss your experience with data visualisation tools like Looker, Power BI, or Tableau. Bring along examples of dashboards or reports you've created, and be ready to explain how they helped stakeholders make informed decisions. This will demonstrate your ability to communicate complex data insights effectively.