Purpose of Role

The Data Scientist is a crucial role within our insurance company, responsible for leveraging their expertise in data science and analytics to identify and pursue new business opportunities, renewals, and/or claims optimization. This position requires a strong background in data analysis, statistical modelling, and machine learning algorithms.

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.

In this pivotal role, the Data Scientist will collaborate closely with various stakeholders including underwriting, actuarial, risk management, and the executive team, assisting in driving evidence-based decisions, promoting profitable business growth, renewals, and/or claims efficiency.

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

Performance is measured as detailed in the individual's annual goals. General areas of performance covered by the individual's annual goals include focus on People & Culture, Risk, Customer, and Profit & financials.

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 drop your CV to [HIDDEN TEXT]

Sr AI / ML Engineer I

Lead/Sr. AI/ML Engineer : Bangalore: ITPL