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- Tasks: Build and deploy machine learning models to drive business decisions.
- Company: Join a leading analytics team in the insurance and fintech sectors.
- Benefits: Remote work, competitive pay, and opportunities for professional growth.
- Other info: Dynamic role with potential for travel and collaboration in London.
- Why this job: Make a real impact by translating data into actionable insights.
- Qualifications: Strong background in data science, SQL, Python/R, and BI tools.
The predicted salary is between 60000 - 80000 £ per year.
Location: Remote (UK) with occasional travel to London
Contract: 6 months (via Umbrella)
We are seeking strong experience in product analytics, machine learning, and behavioural data modelling.
The role sits within a high-impact analytics function supporting insurance, pensions, and employee benefits domains.
- Build and deploy machine learning and predictive models to support business decision-making
- Analyse large-scale behavioural and product datasets using SQL and Python/R
- Develop dashboards and insights using BI tools (Tableau, Power BI, Looker)
- Translate complex data findings into clear, actionable insights
Strong experience in Data Science, Analytics, or similar roles
- Advanced SQL skills with large and complex datasets
- Proficiency in Python or R
- Strong understanding of machine learning, statistical analysis, and predictive modelling
- Experience in insurance, fintech, pensions, or financial services preferred
- Experience with BI tools such as Tableau, Power BI, or Looker
- Experience working in large-scale enterprise data environments
- Knowledge of experimentation / A/B testing frameworks
If you’re passionate about data science and product analytics, we’d love to hear from you.
Data Science Data Science Senior Data Scientist (Remote) in City of London employer: Lorien
Contact Detail:
Lorien Recruiting Team
StudySmarter Expert Advice 🤫
We think this is how you could land Data Science Data Science Senior Data Scientist (Remote) in City of London
✨Tip Number 1
Network like a pro! Reach out to folks in the data science community, especially those in insurance and fintech. Join relevant online forums or 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 machine learning projects, dashboards, and any predictive models you've built. This will give you an edge when discussing your experience during interviews.
✨Tip Number 3
Prepare for technical interviews by brushing up on SQL, Python, and R. Practice solving real-world problems and be ready to explain your thought process. We recommend using platforms that offer mock interviews to get comfortable.
✨Tip Number 4
Don’t forget to apply through our website! It’s the best way to ensure your application gets seen. Plus, we love hearing from passionate candidates who are eager to make an impact in data science and product analytics.
We think you need these skills to ace Data Science Data Science Senior Data Scientist (Remote) in City of London
Some tips for your application 🫡
Tailor Your CV: Make sure your CV highlights your experience in product analytics and machine learning. We want to see how your skills align with the role, so don’t be shy about showcasing your SQL and Python/R expertise!
Craft a Compelling Cover Letter: Your cover letter is your chance to shine! Use it to explain why you’re passionate about data science and how your background fits into our high-impact analytics function. Keep it engaging and relevant to the job description.
Showcase Your Projects: If you've worked on any cool projects involving behavioural data modelling or predictive analytics, make sure to mention them! We love seeing real-world applications of your skills, especially if they relate to insurance or fintech.
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. Plus, it’s super easy!
How to prepare for a job interview at Lorien
✨Know Your Data Tools
Make sure you brush up on your SQL and Python/R skills before the interview. Be ready to discuss how you've used these tools in past projects, especially in relation to product analytics and machine learning.
✨Showcase Your Analytical Mindset
Prepare examples of how you've translated complex data findings into actionable insights. Think about specific instances where your analysis led to significant business decisions, particularly in insurance or fintech.
✨Familiarise Yourself with BI Tools
Since the role involves using BI tools like Tableau, Power BI, or Looker, it’s a good idea to have a few examples ready of dashboards you've created. Highlight how these tools helped in visualising data and driving decisions.
✨Understand the Business Context
Research the insurance and financial services sectors to understand their challenges and opportunities. Being able to speak knowledgeably about industry trends will show your passion and readiness for the role.