Data Scientist

Key Skills

Aartificial intelligence, Data science techniques, Databricks, Github, Machine learning techniques, Natural Language Processing (NLP), Predictive analytics, Python Programming, R Programming, SQL

Job Description

Company Description

Chubb is the world’s largest publicly traded property and casualty insurer. With operations in 54 countries, Chubb provides commercial and personal property and casualty insurance, personal accident and supplemental health insurance, reinsurance and life insurance to a diverse group of clients. The company is distinguished by its extensive product and service offerings, broad distribution capabilities, exceptional financial strength, underwriting excellence, superior claims handling expertise and local operations globally.

Key Objectives

This position will bring knowledge and expertise in modeling methodologies, dataset generation and transformation, statistical programming and analysis to Chubb. Opportunities will exist to work in a dynamic environment on a broad spectrum of global analytical initiatives, impacting underwriting and marketing. The role will be responsible for applying statistical and data mining techniques to identify profitable growth areas and optimize portfolio performance. The person will be expected to understand and analyze insurance risk factors and articulate results to the various stakeholders, including but not limited to underwriters, product managers and actuarial. The position can be based in either Philadelphia, PA or Jersey City, NJ.

Major Duties and Responsibilities

• Build predictive models and analytic solutions, with minimal supervision, to support the underwriting and marketing functions within Chubb.

• Assist in brainstorming potential data sources that may contain predictive variables. Identify, acquire, evaluate, and document data from these various sources, both internal and external.

• Collaborate in extracting and manipulating data using data management tools from internal and external data sources.

• Understand and combine data from various sources to create analytics data sets. Develop a strong working knowledge of how current systems and data sources are populated and sourced.

• Analyze data, draw meaningful conclusions, and assist in developing solutions to help drive profitability and/or growth.

• Introduce novel methodologies, algorithms, tools, and technologies to solve assigned problems.

• Collaborate with other analytics teams (i.e., Applied AI, Emerging Risks) to achieve objectives.

• Build partnerships with key counterparts.

• Communicate and present findings to business partners to ensure successful integration of projects into business process. Proactively follow up on any issues that were raised during presentations.

• Participate in developing solutions to implement models into production. Work with I/T in the design and testing of models.

• Monitor the performance and usage of models. Ensure that the reports suit the needs of the audience.

• Create and maintain clear and concise documentation associated with models.

• Support business requests which require statistical analysis.

• May lead a small team of direct reports (1-2 analysts). Create goals, oversee projects on a regular basis and provide timely feedback.

• Provide training guidance and assistance to colleagues.

Qualifications

Desired Qualifications

• Minimum of a Bachelor’s Degree, preferably in Statistics, Mathematics, Analytics or Computer Science. Advanced degree in Statistics or Predictive Analytics is strongly preferred.

• 3+ years of predictive analytics experience, preferably in the insurance industry.

• Understanding of business challenges, design analytical solutions, using advanced modeling techniques and synthesize insights to business decision making process.

• Intermediate knowledge in statistical analysis and multivariate procedures. Knowledge of Machine Learning techniques and AI is a plus.

• Experience with a statistical package (Python, R) and/or data management (SQL) and/or programming is required. Experience with GitHub and Databricks is a plus.

• Experience with text analytics, including NLP, is a plus.

• Proficient in Microsoft Suite applications.

• Excellent oral and written communication skills. Ability to articulate an understanding of their work products.

• Able to complete analytical tasks independently with some guidance, if necessary.

• Strong organizational skills, able to work well under deadlines in a changing environment and perform multiple tasks effectively and concurrently. Produces accurate work products in a timely manner.

• Ability and desire to work in a fast-paced, team-oriented environment.

• Business experience and knowledge of P&C industry is a plus.

In Jersey City, NJ the pay range for the role is $78,000 to $125,000. The specific offer will depend on an applicant’s skills and other factors. This role may also be eligible to participate in a discretionary annual incentive program. Chubb offers a comprehensive benefits package, more details on which can be found at https://careers.chubb.com/global/en/north-america. This range is specific to Jersey City, NJ and may not be applicable to other locations.

EEO Statement

At Chubb, we are committed to equal employment opportunity and compliance with all laws and regulations pertaining to it. Our policy is to provide employment, training, compensation, promotion,and other conditions or opportunities of employment, without regard to race, color, religious creed, sex, gender, gender identity, gender expression, sexual orientation, marital status, national origin,ancestry, mental and physical disability, medical condition, genetic information, military and veteran status, age, and pregnancy or any other characteristic protected by law.Performance and qualifications are the only basis upon which we hire, assign, promote, compensate, develop and retain employees. Chubb prohibits all unlawful discrimination, harassment and retaliationagainst any individual who reports discrimination or harassment.