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- Tasks: Build and deploy machine learning models to drive business decisions.
- Company: Remote role with a focus on insurance and analytics.
- Benefits: Flexible remote work, competitive pay, and opportunities for professional growth.
- Other info: Exciting chance to work with large datasets and BI tools.
- Why this job: Join a high-impact team and make a difference in the insurance sector.
- Qualifications: Strong background in data science, SQL, and Python or R required.
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 (Python) (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 (Python) (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 groups on LinkedIn or attend meetups to make connections that could lead to job opportunities.
✨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 potential employers a taste of what you can do with Python and SQL.
✨Tip Number 3
Prepare for interviews by brushing up on your technical skills. Be ready to discuss your experience with BI tools like Tableau or Power BI, and practice explaining complex data findings in simple terms. We want to see how you can translate data into actionable insights!
✨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 dive into the world of data science and product analytics.
We think you need these skills to ace Data Science Data Science Senior Data Scientist (Python) (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 in Python, SQL, and BI tools like Tableau or Power BI align with what we're looking for.
Showcase Your Projects: Include specific examples of projects where you've built and deployed machine learning models or analysed large datasets. This helps us understand your hands-on experience and how you translate data into actionable insights.
Be Clear and Concise: When writing your cover letter, keep it straightforward. We appreciate clarity, so explain why you're passionate about data science and how your background fits the role without fluff.
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 don’t miss out on any important updates from us!
How to prepare for a job interview at Lorien
✨Know Your Data Science Stuff
Make sure you brush up on your data science fundamentals, especially around machine learning and predictive modelling. Be ready to discuss your past projects and how you've used Python or R to analyse large datasets.
✨Show Off Your SQL Skills
Since advanced SQL skills are a must, prepare to demonstrate your ability to work with complex datasets. You might be asked to solve a problem on the spot, so practice writing queries that showcase your analytical thinking.
✨Get Familiar with BI Tools
If you’ve worked with Tableau, Power BI, or Looker, be prepared to talk about specific dashboards you’ve created. Highlight how your insights have driven business decisions, as this will show your practical experience in product analytics.
✨Communicate Clearly
Remember, translating complex data findings into actionable insights is key. Practice explaining your past work in simple terms, as this will help interviewers see how you can communicate effectively within their team.