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You will be updated with latest job alerts via emailGuy Carpenter is seeking a dynamic and hands-on leader in the UK to enhance refine and innovate our data strategy for our international reinsurance brokerage businesses. This role will focus on advancing the regional adoption of our global data lake enhancing analytics in claims and contracts and integrating semi-structured brokerage information. Our goal is to empower our clients markets and colleagues with cutting-edge data technology tools that set us apart in the industry. The datasets and products will require regional specialisation across various lines of business including property casualty aviation and marine addressing critical events such as wildfires hurricanes floods cyberattacks and terrorism.
This position is targeted towards our international businesses headquartered in London covering regions such as the UK Latin America Asia Pacific Continental Europe the Middle East and Africa. The role will be based in London and operates in a hybrid model requiring at least three days a week in the office.
We will count on you to:
Advise and empower embedded data technologists to better serve their businesses.
Drive product adoption support and enhancement for existing data products.
Survey broking analytics & service colleagues on data needs and opportunities.
Cultivate strong relationships with leaders where the impact of data technology is a priority.
Calibrate and articulate the data roadmap to a broader stakeholder base.
Maintain a data skillset roster and regularly perform resource gap analysis.
Demonstrate agility and a relentless focus on delivering value navigating the landscape of available resources (personnel technologies data etc.)
What you need to have:
Experience in traditional data technology roles such as data engineer data scientist analytics engineer backend engineer or data product manager within a data-driven organisation.
Strong experience with standard data tools such as Python dbt SQL APIs and Spark.
Proven experience in a lead role such as a senior solutions engineer client-facing senior data consultant or start-up CTO with a successful track record in delivering data products.
Strong experience in data analytics EDA data architecture and schema design.
Experience building complex dashboards using tools such as Power BI Tableau etc.
What makes you stand out
Expert with the Databricks platform or analogs (Snowflake or Palantir)
Experience with Python-based webapp frameworks (FastAPI Django etc.) and/or low-code data webapp frameworks (Streamlit Plotly Dash RStudio etc.)
Knowledge of the insurance industry or interest and ability to learn it quickly.
Why join our team:
We help you be your best through professional development opportunities interesting work and supportive leaders.
We foster a vibrant and inclusive culture where you can work with talented colleagues to create new solutions and have impact for colleagues clients and communities.
Our scale enables us to provide a range of career opportunities as well as benefits and rewards to enhance your well-being.
Required Experience:
Intern
Full-Time