At a Glance
- Tasks: Create innovative pricing models using complex data to enhance customer accessibility.
- Company: Join a leading insurance company with a dynamic and experimental pricing team.
- Benefits: Flexible work location, competitive salary, and opportunities for mentorship.
- Other info: Be part of a small, fast-paced team focused on forward-thinking solutions.
- Why this job: Make a real impact in pricing strategies while working with cutting-edge data science tools.
- Qualifications: Experience in data science, proficiency in Python and SQL, and a passion for innovation.
The predicted salary is between 60750 - 74250 £ per year.
We are currently supporting a large insurance company on a Senior Data Science role to sit within their pricing team. This role will challenge core pricing functions and create innovative ways to produce new pricing models using larger and more complex data sources to deliver more competitive pricing and better customer accessibility. It's a small, fast-paced team (6 people) working on more experimental and forward-thinking pricing approaches.
Some of the exciting work includes:
- Alternative pricing models
- Footprint modelling / Geospatial modelling
- Residual modelling to identify gaps between predicted vs. actual claim costs
- Working with large, messy insurance datasets across multiple product lines
Tools & tech: Python, SQL, AzureML, XGBoost
Opportunity to mentor within the team.
Senior Data Scientist employer: The OR Society
Join a dynamic UK fintech lender in London, where you'll have the opportunity to make a significant impact as a Credit Risk Data Scientist. With a strong focus on employee growth and a collaborative work culture, this company offers genuine ownership from day one, direct access to experienced leadership, and the chance to shape the future of lending. Enjoy a supportive environment that values innovation and provides the tools you need to excel in your career.
StudySmarter Expert Advice🤫
We think this is how you could land Senior Data Scientist
✨Get Involved in Data Science Meetups
Tap into local data science meetups or workshops to connect with fellow enthusiasts and professionals. These events are goldmines for networking, and sometimes even lead directly to job openings at companies like The OR Society!
✨Show Off Your Projects
Start building a public portfolio showcasing your data science projects on platforms like GitHub or personal websites. Highlight unique analyses or models you've developed. This not only demonstrates your skills but also gets your name out there for roles like Senior Data Scientist at The OR Society.
✨Leverage Professional Networks
Join professional bodies related to data science, like the Data Science Society or similar organisations. Getting involved can lead to mentorship opportunities and insider knowledge about full-time positions at companies like The OR Society.
✨Apply Directly through Our Website
When you find a suitable opening like Senior Data Scientist at The OR Society, make sure to apply directly through our website. It gives you an edge and shows you're keen to join our team. Plus, who doesn’t love a direct application? It’s easier than navigating through job boards!
We think you need these skills to ace Senior Data Scientist
Some tips for your application 🫡
Show Off Your Projects:In the world of data science, your projects can speak volumes about your skills. Make sure to showcase a few key projects in your CV or portfolio, especially those that highlight your ability to work with data sets, build models, or use relevant tools like Python, R, or SQL. Don’t forget to include links to any GitHub repositories if applicable!
Quantify Your Achievements:Employers love numbers! When drafting your CV, highlight your achievements with quantifiable results. For instance, mention how your data analysis led to a certain percentage increase in efficiency or revenue at a previous job or project. These details can really make your application pop!
Craft a Tailored Cover Letter:For a full-time role at The OR Society, your cover letter should reflect your passion for data science and your excitement about the specific projects or values of the company. Dive into why you’re a good fit, how your skills align with their needs, and any unique perspectives you can bring to the team.
Stand Out with Relevant Courses and Certifications:Although experience talks, relevant courses or certifications can be your ticket to impressing hiring managers at The OR Society. Mention any standout courses you've completed that equipped you with essential skills, such as machine learning certifications or data visualisation courses. This shows your commitment to continuously developing your skills in the field!
How to prepare for a job interview at The OR Society
✨Brush Up on Your Statistics
For a data science role, we need to seriously sharpen our statistics skills. Get ready to tackle technical questions on probability distributions, hypothesis testing, and regression analysis. These are often the bread and butter of data science interviews, so don't just skim over them!
✨Showcase Your Projects
Prepare a killer portfolio showcasing your data science projects. We should include details about the datasets used, the tools and techniques applied, and the impact of your findings. If we can walk them through a particularly challenging project or a cool visualisation that had real-world implications, it’ll really make us stand out!
✨Get Comfortable with Python and R
Most data science positions require us to be proficient in programming languages like Python and R. We should practice common libraries like pandas, NumPy, and scikit-learn, and be ready for live coding exercises or algorithm questions. Showing off our coding chops can really impress the interviewers at The OR Society!
✨Prepare for Case Studies
Expect to encounter real-world case studies during the interview. We might be asked how we’d approach a data problem or analyse a dataset to extract insights. It's essential to think out loud and demonstrate our problem-solving process so that the interviewer can see our logical thinking in action.
