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Head of Data Science | London Market

The Kennedy Group

Greater London

On-site

GBP 150,000 - 200,000

Full time

30+ days ago

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Job summary

An established industry player is seeking a Head of Data Analytics to lead their London Market team. This pivotal role involves overseeing a talented group of data scientists and engineers, driving the development of predictive models and advanced analytics techniques. The ideal candidate will possess strong data manipulation skills in Python and SQL, along with experience in cloud platforms like Azure and Snowflake. This is a fantastic opportunity for someone passionate about analytics to make a significant impact in a thriving organization known for its consistent growth and innovation in the insurance sector.

Qualifications

  • Experience in leading data analytics teams with a focus on London Market.
  • Strong background in predictive modeling and advanced analytics techniques.

Responsibilities

  • Lead the analytics team to deliver impactful, analytics-led solutions.
  • Collaborate with stakeholders to enhance decision-making and profitability.

Skills

Data Manipulation
Predictive Modeling
Machine Learning
NLP
Statistical Analysis
Collaboration

Education

Bachelor's Degree in Data Science or related field
Master's Degree in Data Analytics or related field

Tools

Python
SQL
PowerBI
Azure
Snowflake
Databricks

Job description

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.
Seniority level

Mid-Senior level

Employment type

Full-time

Job function

Analyst, Engineering, and Information Technology

Industries

Insurance and Insurance Carriers

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