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- Tasks: Lead a dynamic team to deliver innovative analytics solutions in the London Market.
- Company: Join a globally recognised insurer with 15 years of consistent double-digit growth.
- Benefits: Enjoy a collaborative culture, mentorship opportunities, and cutting-edge technology.
- Why this job: Make a real impact by enhancing decision-making and profitability through advanced analytics.
- Qualifications: Must have London Market experience and strong skills in Python, SQL, and data visualisation.
- Other info: This is an AVP level position, perfect for those ready to lead and innovate.
The predicted salary is between 72000 - 108000 £ per year.
A global insurer is looking to hire a Head of Data Analytics for their London Market team. The business is well known and has had double digit growth year on year for the past 15 years. This is an AVP level position and it is essential that the individual has London Market experience.
The Role:
- Lead the London Market Analytics team, overseeing data scientists, engineers, and technical experts to deliver impactful, analytics-led solutions.
- Partner with underwriting stakeholders to design predictive models and tools that enhance decision-making and portfolio profitability.
- Drive the development and deployment of advanced analytics techniques including GLMs, GBMs, NLP, and machine learning methods.
- Ensure effective project planning, prioritization, and alignment with stakeholder needs.
- Collaborate across cross-functional teams and departments to solve complex business problems.
- Develop actionable insights using diverse analytical tools and technologies to support strategic decisions.
- Explore and analyze internal and external datasets to support advanced model development.
- Provide thought leadership on new opportunities for analytics to support London Market underwriting.
- Mentor and develop team members, fostering technical growth and collaborative culture.
- Apply strong data manipulation skills using Python, SQL, and visualization tools like PowerBI.
- Utilize or be familiar with cloud-based platforms such as Azure, Snowflake, and Databricks.
- Communicate complex analytical findings effectively to both technical and non-technical audiences.
For more information please apply to this advert. Thanks!
Contact Detail:
The Kennedy Group Recruiting Team
StudySmarter Expert Advice 🤫
We think this is how you could land Head of Data Science | London Market
✨Tip Number 1
Make sure to highlight your experience in the London Market during networking events or industry meetups. Engaging with professionals in this niche can help you gain insights and potentially get referrals.
✨Tip Number 2
Familiarise yourself with the latest trends and technologies in data analytics, especially those relevant to the insurance sector. Being well-versed in GLMs, GBMs, and machine learning will set you apart during discussions with potential employers.
✨Tip Number 3
Consider joining online forums or LinkedIn groups focused on data science in the insurance industry. Engaging in conversations and sharing your knowledge can help you build a network that may lead to job opportunities.
✨Tip Number 4
Prepare to discuss your leadership style and how you've mentored team members in previous roles. This is crucial for a Head of Data Science position, as showcasing your ability to develop talent will resonate well with hiring managers.
We think you need these skills to ace Head of Data Science | London Market
Some tips for your application 🫡
Tailor Your CV: Make sure your CV highlights your experience in the London Market and showcases your leadership skills in data analytics. Include specific examples of projects where you've led teams or developed predictive models.
Craft a Compelling Cover Letter: In your cover letter, emphasise your understanding of the insurance industry and how your background aligns with the role. Mention your familiarity with advanced analytics techniques and cloud-based platforms, as these are crucial for the position.
Showcase Technical Skills: Clearly outline your technical skills in Python, SQL, and data visualisation tools like PowerBI. Provide examples of how you've used these skills to drive business decisions or enhance portfolio profitability.
Prepare for Interviews: If you get an interview, be ready to discuss your experience with cross-functional collaboration and mentoring team members. Prepare to explain complex analytical concepts in simple terms, as you'll need to communicate effectively with both technical and non-technical stakeholders.
How to prepare for a job interview at The Kennedy Group
✨Showcase Your London Market Experience
Make sure to highlight your previous experience in the London Market during the interview. Discuss specific projects or roles where you successfully led analytics initiatives, as this is crucial for the position.
✨Demonstrate Technical Proficiency
Be prepared to discuss your skills in Python, SQL, and data visualisation tools like PowerBI. You might be asked to solve a technical problem or explain how you've used these tools in past projects.
✨Prepare for Predictive Modelling Questions
Since the role involves designing predictive models, brush up on your knowledge of GLMs, GBMs, NLP, and machine learning methods. Be ready to explain how you've applied these techniques in real-world scenarios.
✨Emphasise Leadership and Mentoring Skills
As a Head of Data Analytics, you'll need to lead a team. Share examples of how you've mentored team members or fostered a collaborative culture in previous roles to demonstrate your leadership capabilities.
