At a Glance
- Tasks: Design and build scalable data solutions for underwriting analytics.
- Company: SBG, a forward-thinking company based in Bristol.
- Benefits: Hybrid working, strong benefits package, and leadership development opportunities.
- Other info: Great opportunity for career growth in a supportive environment.
- Why this job: Join a dynamic team and drive data capabilities that impact decision making.
- Qualifications: Experience in data engineering and a passion for collaboration.
The predicted salary is between 63000 - 77000 £ per year.
SBG in Bristol seeks a Data Engineer to design, build and maintain scalable data solutions supporting the underwriting function.
You will develop data pipelines, integrate diverse data sources and collaborate with underwriting, pricing and data science teams to enable data-driven decision making.
The role combines hands-on data engineering with leadership development and domain knowledge to drive data capabilities across the business.
Hybrid working and a strong benefits package are offered.
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Data Engineer - Underwriting Analytics & Pipelines employer: Somerset Bridge
Join a forward-thinking company in Bristol that values innovation and employee growth, offering a dynamic work culture where data-driven decisions shape the future. As a Senior Analyst in the Data Enrichment team, you'll enjoy hybrid working, generous annual leave, and a range of benefits including a healthcare cash plan and enhanced parental leave, all while contributing to impactful projects that enhance commercial performance and customer value.
StudySmarter Expert Advice🤫
We think this is how you could land Data Engineer - Underwriting Analytics & Pipelines
✨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 Somerset Bridge!
✨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 Data Engineer - Underwriting Analytics & Pipelines at Somerset Bridge.
✨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 Somerset Bridge.
✨Apply Directly through Our Website
When you find a suitable opening like Data Engineer - Underwriting Analytics & Pipelines at Somerset Bridge, 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 Data Engineer - Underwriting Analytics & Pipelines
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 Somerset Bridge, 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 Somerset Bridge. 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 Somerset Bridge
✨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 Somerset Bridge!
✨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.
