Data Scientist
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Position Overview & Specifications
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, pricing 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 p osition will be based in London.
Major Duties and Responsibilities
Build predictive models and analytic solutions, with minimal supervision, to support the underwriting, pricing 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.
Provide training guidance and assistance to colleagues.
Qualifications
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, pricing 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 p osition will be based in London.
Major Duties and Responsibilities
Build predictive models and analytic solutions, with minimal supervision, to support the underwriting, pricing 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.
Provide training guidance and assistance to colleagues.
Flexible Working
We are open to discussing flexible working arrangements. This can be discussed with the Recruitment Business Partner managing this position.
Integrity. Client focus. Respect. Excellence. Teamwork
Our core values dictate how we live and work. We’re an ethical and honest company that’s wholly committed to its clients. A business that’s engaged in mutual trust and respect for its employees and partners. A place where colleagues perform at the highest levels. And a working environment that’s collaborative and supportive.
Diversity & Inclusion
At Chubb we consider our people our chief competitive advantage and as such we treat colleagues, candidates, clients, and business partners with equality, fairness and respect, regardless of their age, disability, race, religion or belief, gender, sexual orientation, marital status or family circumstances.
Candidate Selection & Onboarding Process
Application & Resume Screening
Submit your tailored CV/Resume directly to the talent acquisition portal.
Technical & Competency Interviews
Virtual interviews with the hiring manager and multidisciplinary team.
Formal Offer & Benefits Negotiation
Written agreement outlining compensation, equity, retirement vesting, and relocation allowances.
Onboarding & Corporate Integration
Equipment provisioning, team orientation, and commencement of duties.
United Kingdom Right to Work & Skilled Worker Visa Guide
Employment in the United Kingdom requires legal Right to Work verified under the Home Office Points-Based Immigration System:
Sponsoring employers must hold an active Home Office A-rated Sponsor License and assign a valid Certificate of Sponsorship (CoS). Role must meet the general minimum salary threshold (£38,700) or occupation going rate.
Continuous employment under Skilled Worker status establishes eligibility for Indefinite Leave to Remain (ILR) after 5 continuous years, leading to British Citizenship.
Candidate Preparation Blueprint: Insurance Carriers
Based on transatlantic hiring benchmarks for Data Scientist roles across Chubb INA Holdings Inc.'s corporate sector, successful applicants typically excel across three core dimensions:
Demonstrated portfolio evidence, architecture/system design case studies, or validated professional certifications directly applicable to Insurance Carriers.
STAR method competency responses highlighting cross-functional leadership, conflict resolution, and delivering measurable enterprise ROI under tight timelines.
Total compensation expectation aligned within the benchmarked £76,700 - £94,600 bracket, including retirement vesting and health parity.
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