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- Tasks: Lead data model development and create impactful analytics frameworks for 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.
- Why this job: Make a real difference by enhancing user experiences through data-driven insights.
- Qualifications: Extensive data science experience, strong SQL skills, and proficiency in Python or R.
- Other info: Dynamic role with potential for travel to London and collaboration with diverse teams.
The predicted salary is between 48000 - 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.
- 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).
Senior Data Scientist in London employer: Lorien
Contact Detail:
Lorien Recruiting Team
StudySmarter Expert Advice 🤫
We think this is how you could land Senior Data Scientist in London
✨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. Attend industry meetups or webinars to make those valuable connections.
✨Tip Number 2
Show off your skills! Create a portfolio showcasing your data models, dashboards, and any A/B tests you've conducted. We want to see your hands-on experience with SQL, Python, and those fancy visualisation tools. Make it easy for potential employers to see what you can do!
✨Tip Number 3
Prepare for interviews by brushing up on your technical skills. We recommend practising common data science problems and being ready to discuss your past projects in detail. Don’t forget to highlight your experience with product analytics platforms like Mixpanel or Amplitude!
✨Tip Number 4
Apply through our website! It’s the best way to ensure your application gets seen. Plus, we love seeing candidates who are proactive about their job search. So, don’t hesitate—submit your application and let’s get you that Senior Data Scientist role!
We think you need these skills to ace Senior Data Scientist in London
Some tips for your application 🫡
Tailor Your CV: Make sure your CV is tailored to the Senior Data Scientist role. Highlight your experience with data models, analytics frameworks, and any relevant tools like SQL or Python. We want to see how your skills match what we're looking for!
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 in fintech or insurance, and how you can contribute to our team. Keep it engaging and personal!
Showcase Your Projects: If you've worked on any relevant projects, make sure to mention them! Whether it's A/B testing or creating dashboards, we love to see real examples of your work. This helps us understand your hands-on experience and problem-solving skills.
Apply Through Our Website: We encourage you to apply through our website for a smoother process. It helps us keep track of applications and ensures you get all the updates directly from us. Plus, it shows you're keen on joining our team!
How to prepare for a job interview at Lorien
✨Know Your Data Inside Out
Make sure you’re well-versed in the data science concepts relevant to the role. Brush up on your SQL and Python skills, and be ready to discuss your experience with predictive modelling and machine learning. Prepare examples of how you've used these skills in previous roles, especially in fintech or insurance.
✨Showcase Your Analytical Mindset
Be prepared to talk about specific projects where you developed data models or conducted A/B testing. Highlight your ability to design experiments and analyse results. This is your chance to demonstrate how your analytical skills can drive user engagement and improve product effectiveness.
✨Familiarise Yourself with Tools
Since the role involves using platforms like Mixpanel and Tableau, make sure you know your way around these tools. If you’ve created dashboards or self-serve analytics tools before, share those experiences. Showing familiarity with the tools will give you an edge in the interview.
✨Understand the Industry Context
Research the insurance and fintech sectors, particularly around workplace pensions and financial wellbeing solutions. Being able to discuss industry trends and how they relate to data science will show that you’re not just a tech whiz but also understand the business side of things.
