At a Glance
- Tasks: Transform complex data into actionable pricing insights and drive business improvement.
- Company: Join a dynamic Data Enrichment team at a leading insurance company.
- Benefits: Enjoy hybrid working, generous leave, and exclusive discounts.
- Other info: Mentorship opportunities and a culture of continuous learning await you.
- Why this job: Make a real impact with data science while shaping innovative pricing solutions.
- Qualifications: Strong analytical skills, coding proficiency, and knowledge of the insurance market.
The predicted salary is between 68000 - 75000 £ per year.
Description
This is a high-impact role joining a new established Data Enrichment team, using advanced analytics, statistical modelling and data science to turn complex data into actionable pricing insight.
The Senior Analyst will identify new opportunities from existing and emerging data sources, develop robust rating factors, and deliver high-quality rate change proposals that improve commercial performance while ensuring fair customer outcomes.
Working closely with stakeholders across Trading, Finance, IT, Data Engineering and external suppliers, this role will help shape innovative, compliant and scalable data-driven solutions that strengthen our pricing capability and support continuous business improvement.
Department
[SBISL] Data Enrichment
Location
Bristol
Compensation
What you'll be responsible for
- Design and deploy data-driven solutions to drive business improvement
- Understand all the data available; highlight concerns & propose solutions
- Identify opportunities to harvest value from existing or new data sources; generate new rating factors
- Present and visualize data insights to stakeholders
- Work with internal stakeholders and suppliers to explore new data enrichment opportunities (DPIA, contracts, invoices, etc.)
- Collaborate with IT, Data Engineering and other teams to ensure data infrastructure and pipelines are compliant, robust, scalable, and secure
- Stay informed on market developments, competitor activity, and emerging trends; react if/as necessary
- Deliver a steady flow of high-quality rate change proposals, oversee deployment of approved rate changes
- Document rate changes, models, processes, and analytical methodologies for transparency and audit purposes
- Liaise with other teams (Trading, Finance, and operational teams, etc.) to highlight predicted impact of rate changes
- Always keep customers in mind to ensure good value to customers, with extra attention to vulnerable customers
- Fully understand every aspect of the premium calculation; understand how RADAR and rate changes in RADAR work
- Stay abreast of the latest advancements in data science and machine learning, identify opportunities to incorporate new technologies and methodologies into the team's work
- Promote a culture of continuous learning, encourage the exploration of innovative data-driven solutions
- Mentor junior data scientists and provide expert advice to team members
- Identify leaks & opportunities and propose pricing adjustments to improve performance
- Identify, report, and action breaches and pricing errors
- Ensure compliance with all relevant regulatory requirements and industry standards in pricing strategies and practices
- Promote data governance best practices, ensuring data integrity, quality, and security in all pricing activities
What you'll need
- Analytical mindset, logical thinker
- Question everything; search for innovative new solutions
- Passion for data driven decisions
- Proficiency in pricing techniques, statistical modelling, and predictive analytics
- Knowledge of the insurance market
- Commercial awareness and drive for practical outcomes
- Comprehensive understanding of the motor insurance industry, its regulatory environment, and market trends
- Exceptional capability to interpret and synthesize large and complex datasets into actionable pricing recommendations
- Advanced knowledge of coding (Python, R, SQL) and data visualization platforms (e. g., Tableau, Power BI)
- Great cross-functional collaboration
- Good communication skills; ability to present complex data insights clearly and persuasively to both technical and non-technical audiences (both in writing and verbal)
- Excellent Stakeholder management skills
- Our Benefits
- Hybrid working - 2 days in the office and 3 days working from home
- 25 days annual leave, rising to 27 days over 2 years' service and 30 days after 5 years' service. Plus bank holidays!
- Discretionary annual bonus
- Pension scheme - 5% employee, 6% employer
- Flexible working - we will always consider applications for those who require less than the advertised hours
- Flexi-time
- Healthcare Cash Plan - claim cashback on a variety of everyday healthcare costs
- Electric vehicle - salary sacrifice scheme
- 100's of exclusive retailer discounts
- Professional wellbeing, health & fitness app - Wrkit
- Enhanced parental leave, including time off for IVF appointments
- Religious bank holidays - if you don't celebrate Christmas and Easter, you can use these annual leave days on other occasions throughout the year.
- Life Assurance - 4 times your salary
- 25% Car Insurance Discount
- 20% Travel Insurance Discount
- Cycle to Work Scheme
- Employee Referral Scheme
- Community support day
- #J-18808-Ljbffr
Senior Analyst - Data Enrichment employer: Somerset Bridge Group
Somerset Bridge Group is an exceptional employer, offering a dynamic work culture that fosters collaboration and innovation in the heart of Bristol. With a strong focus on employee growth, we provide extensive benefits including hybrid working options, generous annual leave, and a commitment to professional development, ensuring our team members thrive both personally and professionally. Join us to be part of a forward-thinking company that values your contributions and supports your career journey in the insurance sector.
StudySmarter Expert Advice🤫
We think this is how you could land Senior Analyst - Data Enrichment
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We think you need these skills to ace Senior Analyst - Data Enrichment
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!
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How to prepare for a job interview at Somerset Bridge Group
✨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!
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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 Group!
✨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.
