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For Companies At a Glance
- Tasks: Analyse data and create impactful dashboards to support strategic decisions.
- Company: Speciality insurer focused on high-quality governance and reporting.
- Benefits: Competitive salary, flexible working options, and opportunities for professional growth.
- Why this job: Join a dynamic team and influence board-level insights in the insurance sector.
- Qualifications: Strong data analysis skills and proficiency in Excel, Power BI, and analytics tools.
- Other info: Collaborative environment with a focus on innovation and problem-solving.
The predicted salary is between 36000 - 60000 ÂŁ per year.
My client, a speciality insurer, is looking for a Data Scientist to join their Governance & Reporting Team delivering highâquality MI, dashboards, and analytics that drive strategic decisionâmaking. You'll support the Head of Claims Governance & Reporting in producing boardâlevel insights and advancing their reporting framework.
Skills & Experience
- Strong data analysis, modelling, and reporting skills
- Advanced proficiency in Excel, Power BI, DAX, VBA, Azure DevOps
- Experience in data transformation, dashboard development, and analytics tooling
- Understanding of insurance/reinsurance and claims processes
- Strong problemâsolving, communication, and organisational skills
Data Scientist in London employer: Harrison Holgate
Contact Detail:
Harrison Holgate Recruiting Team
StudySmarter Expert Advice đ¤Ť
We think this is how you could land Data Scientist in London
â¨Tip Number 1
Network like a pro! Reach out to people in the insurance and data science fields. Attend industry events or webinars, and donât be shy about asking for informational interviews. You never know who might have a lead on your dream job!
â¨Tip Number 2
Show off your skills! Create a portfolio showcasing your data analysis, dashboard development, and reporting projects. Use tools like Power BI to make it visually appealing. This will give potential employers a taste of what you can do before they even meet you.
â¨Tip Number 3
Prepare for those interviews! Research common data science interview questions and practice your answers. Be ready to discuss your experience with Excel, DAX, and Azure DevOps, and how you've used these tools to solve real-world problems.
â¨Tip Number 4
Apply through our website! Weâve got loads of opportunities that might just be perfect for you. Plus, applying directly shows your enthusiasm and commitment to joining our team. Donât miss out!
We think you need these skills to ace Data Scientist in London
Some tips for your application đŤĄ
Tailor Your CV: Make sure your CV highlights your data analysis and reporting skills. We want to see how your experience aligns with the role, especially in areas like Excel, Power BI, and analytics tooling.
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 you can contribute to our Governance & Reporting Team. Donât forget to mention your understanding of insurance processes!
Showcase Your Problem-Solving Skills: In your application, give examples of how you've tackled complex data challenges in the past. We love seeing candidates who can think critically and come up with innovative solutions.
Apply Through Our Website: We encourage you to apply directly through our website. Itâs the best way for us to receive your application and ensures you donât miss out on any important updates from us!
How to prepare for a job interview at Harrison Holgate
â¨Know Your Data Tools
Make sure you brush up on your skills with Excel, Power BI, and DAX before the interview. Be ready to discuss specific projects where you've used these tools to create dashboards or perform data analysis. This will show that you not only have the technical skills but also practical experience.
â¨Understand the Insurance Landscape
Familiarise yourself with the basics of insurance and reinsurance, especially around claims processes. Being able to speak knowledgeably about how data impacts decision-making in this sector will impress your interviewers and demonstrate your commitment to the role.
â¨Prepare for Problem-Solving Questions
Expect questions that assess your problem-solving abilities. Think of examples from your past work where you faced a challenge, how you approached it, and what the outcome was. This will help you showcase your analytical thinking and organisational skills.
â¨Communicate Clearly and Confidently
During the interview, practice clear and concise communication. Whether you're explaining a complex data model or discussing your previous experiences, being articulate will help convey your ideas effectively. Remember, it's not just about what you say, but how you say it!
