Sr AI / ML Engineer I

Purpose of Role

Data Scientist

This role is responsible for conducting robust quantitative and statistical analysis of our insurance product offerings and portfolio. The role involves leveraging complex data sets to identify trends, patterns, and insights that serve to improve business development, design, and evaluation of new products, and evaluate external data.

Data Scientist

Key Accountabilities & Responsibilities

• Analyze large datasets using advanced statistical methods to uncover trends, patterns, gaps, and insights that can be leveraged for business growth, renewals, and/or claims optimization.
• Collaborate with cross-functional teams to understand business objectives and identify areas where data-driven solutions can drive revenue growth, renewals, and/or claims efficiency.
• Design and implement experiments to test hypotheses and analyze the impact of various factors on business performance, renewals, and claims outcomes.
• Develop machine learning models to automate decision-making processes and improve operational efficiency.
• Create data visualizations and communicate findings to stakeholders in a clear and concise manner, providing insights for business decision-making.
• Stay up to date with the latest advancements in data science and actively seek opportunities to apply new techniques and tools to enhance business opportunities.
• Work closely with data engineering teams to optimize data storage, retrieval, and processing, ensuring efficient handling of datasets.
• Work closely with machine learning engineers to facilitate the seamless deployment of models.

Skills & Experience

• Bachelor's degree

  (or equivalent) in

  actuarial science

  ,

  mathematics

  ,

  computer science

  ,

  economics

  , or

  statistics

  .

• 5+ years

  of related practical experience.
• Strong programming skills in languages like

  SQL

  ,

  Python

  or

  R

  for data manipulation and analysis.
• Proficiency in machine learning techniques such as

  regression

  ,

  clustering

  , and

  recommendation systems

  .
• Excellent communication skills to effectively present complex findings to both technical and non-technical stakeholders.

Preferred

• Solid understanding of

  insurance industry

  dynamics and business processes.
• Experience with

  AI libraries & frameworks

  such as

  TensorFlow

  and

  PyTorch

  .
• Experience with

  data visualization tools

  such as

  Qlikview

  ,

  Tableau

  or

  Power BI

  .
• Experience with

  data mining

  and

  web scraping

  .

Chubb Key Competencies

• Problem solving

  A strength in taking an organized and logical approach to thinking through problems and complex issues, the ability to simplify complexity, look beyond the obvious to get to the root cause and develop insights to solve issues or challenges.

• Continuous Learning

  The desire and capacity to expand expertise and develop new skills and grow professionally, seeking and taking ownership of opportunities to learn and acquire knowledge.

• Initiative

  A passion to be resourceful and autonomous, self-motivated, and seize opportunities to make a difference.

• Adaptability

  The ability to redirect personal effort in response to changing circumstances.

• Results orientation

  Effectively execute plans, drive for results and take accountability for outcomes, recognizing and capitalizing on opportunities and continually looking for ways to change and improve processes to create sustained improvements.

Performance Measures

People & Culture

Culture & Values

All roles in Chubb require values orientation and alignment to our Chubb Culture A passion to uphold and model the values of the company, and always do the right thing by colleagues, customers, and the company. Fosters high collaboration within own team and across the company. Acts as a team player and is direct, truthful and trusted by others.

Chubb's Value orientation is represented by our core values:

• Integrity

• Customer Focus

• Respect

• Excellence

Interested candidates