Company DescriptionChubb is the worlds 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.Job SummaryThis position offers the opportunity to leverage the entire spectrum of analytics tools towards solving a wide variety of business problems. The focus is on applying a combination of industry standard practices and innovative ideas using structured and unstructured data from multiple sources and applying AI, machine learning and statistical techniques to build, evaluate and implement models. Our team focus on creating analytical solutions that solve real world business problems for all lines of insurance products. Analytics empowered technology platforms are changing the way we operationalize model outputs at Chubb. This role will work closely with engineering teams to deploy models as APIs into various cutting-edge platforms. This is a great opportunity to create analytic solutions for multiple lines of business, deepening your insurance product knowledge.ResponsibilitiesCollaborate with business partners and peers in the organization to understand and scope the problem, gather business requirements, and plan projects tasks and timelines.Partner with Product Owners and other data scientists on modeling projects (model development & review to implementation).Execute all aspects of analytics initiatives including exploratory data analysis, machine learning model development, model evaluation and benefit estimation.Build modeling frameworks that can be leveraged for multiple projects. High focus on code reproducibility and creating generalizable technology assets for analytics teams.Create excellent working relationships with business partners across the Chubb organization, IT and analytics peer groups.Effectively communicate results in written, oral and presentation formats.Monitor performance of models and report findings to leadership.Required Skills/Experience3+ years work experience, preferably in a data, software, or machine learning engineer roleExpert python and SQL programming (3+ years hands on development)Ability to build and maintain custom classes (OOP mastery)Experienced with development and implementation of machine learning and statistical models.Collaboration, knowledge sharing and keeping up to date on emerging industry trends.Passion for solving business problems through analytics.Advanced understanding of databases and approaches to extracting data.Desire to work in a fast passed, team-oriented environment.EducationMasters degree in quantitative fieldChubb is a world leader in insurance. 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.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 retaliation against any individual who reports discrimination or harassment.#J-18808-Ljbffrby Jobble

Job DescriptionJob Overview:Chubb is seeking a highly motivated and experienced Operational Research Data Scientist to join our team. This critical role will work alongside our lead data scientist and other data scientists to deliver impactful optimization solutions for our new initiative. The ideal candidate will have a solid foundation in the application of mathematical models to solve complex business problems and be eager to learn and apply the latest OR and AI techniques.Job Responsibilities:Develop and implement optimization models to improve business performance and operational efficiencies in the insurance industryAnalyze large volumes of data and provide insights to make data-driven decisions for use in insurance risk profiling, claims management and other key problem areasCollaborate with cross-functional teams including actuaries, underwriters, and IT to design, develop, and integrate optimization solutionsParticipate in the end-to-end data science lifecycle from problem definition to model implementationUse AI algorithms and predictive modeling to create dynamic optimization models that can quickly adapt to changing market conditions and customer needsStay up-to-date with the latest OR and AI techniques and explore innovative solutions to drive impactful optimization resultsQualifications3+ years of experience in the OR field with a strong understanding of mathematical modeling, optimization, and simulation techniquesBachelor's degree in Industrial Engineering, Operations Research, Applied Mathematics, or related fields with advanced degree preferredExperience in deploying OR solutions in the cloud environmentFamiliarity with AI algorithms, predictive modeling and machine learning techniques and their application to insurance problem solvingProficiency in programming languages such as Python, R, and SQLBasic understanding of descriptive statistics and exploratory data analysis techniquesStrong problem-solving and analytical skills with the ability to work with complex datasetsStrong communication and collaboration skills to work effectively with different stakeholders and cross-functional teamsSelf-driven with an eagerness to learn and apply the latest OR and AI techniques to solve complex business problemsThe pay range for the role is $80,500 to $137,000. 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 on our careers website. The disclosed pay range estimate may be adjusted for the applicable geographic differential for the location in which the position is filled.About UsChubb is a world leader in insurance. 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.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 retaliation against any individual who reports discrimination or harassment.#J-18808-Ljbffrby Jobble

JOB DESCRIPTIONCompany DescriptionChubb 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.Job SummaryThis position offers the opportunity to leverage the entire spectrum of analytics tools towards solving a wide variety of business problems. The focus is on applying a combination of industry standard practices and innovative ideas using structured and unstructured data from multiple sources and applying AI, machine learning and statistical techniques to build, evaluate and implement models. Our team focus' on creating analytical solutions that solve real world business problems for all lines of insurance products. Analytics empowered technology platforms are changing the way we operationalize model outputs at Chubb. This role will work closely with engineering teams to deploy models as APIs into various cutting-edge platforms. This is a great opportunity to create analytic solutions for multiple lines of business, deepening your insurance product knowledge.ResponsibilitiesCollaborate with business partners and peers in the organization to understand and scope the problem, gather business requirements, and plan projects tasks and timelines.Partner with Product Owners and other data scientists on modeling projects (model development & review to implementation).Execute all aspects of analytics initiatives including exploratory data analysis, machine learning model development, model evaluation and benefit estimation.Build modeling frameworks that can be leveraged for multiple projects. High focus on code reproducibility and creating generalizable technology assets for analytics teams.Create excellent working relationships with business partners across the Chubb organization, IT and analytics peer groups.Effectively communicate results in written, oral and presentation formats.Monitor performance of models and report findings to leadership.QUALIFICATIONSABOUT USChubb is a world leader in insurance. 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.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 retaliation against any individual who reports discrimination or harassment.#J-18808-Ljbffrby Jobble

The Purpose of the roleAs a key member of the Special Projects team, he/she will be at the forefront of developing new innovative solutions with appropriate use of machine learning algorithms to undertake intellectually stimulating R&D projects. This role uses Machine Learning techniques to solve challenging actuarial problems, working in an intellectually strong group of actuaries and data scientists, and liaising with the various divisions of the company. The responsibilities entail being the ML expert on the team. The individual is expected to possess strong statistical knowledge, and outstanding understanding of machine learning methods.Ideal candidate for this role is someone with a strong education in computer science, data science, statistics, applied math or a related field, and who is eager to tackle problems with innovative thinking without compromising detailed business nuances. One must be adept at solving diverse problems by utilizing a variety of different tools, strategies, machine learning techniques, and algorithms. The individual will be expected to interpret and communicate results with stakeholders in an effective manner. Responsibilities<ul><li>Work with stakeholders to define the scope of the project, determine analyses to be performed, manage deliverables against timelines, present of results and implement the model.</li><li>Use broad spectrum of NLP, Machine Learning and deep learning techniques to extract impactful features from unstructured data.</li><li>Develop and implement models that help with solving the problem at hand; Ensure that the model is able to meet the desired KPIs.</li><li>Be a thought leader and generate ideas / novel approaches to business problems.</li><li>Stay abreast of the developments in the rapidly changing field of AI and machine learning.</li><li>Handle stakeholder requests and perform work with little to no assistance.</li><li>Mentor and coach junior team members and provide support on projects requiring advanced skill and domain expertise.</li><li>Gain deeper understanding of Chubb’s business and develop expertise on multiple lines of business.</li></ul> Required knowledge, Skills, and qualifications.<ul><li>understanding of ML concepts – Probabilistic Models, Supervised vs Unsupervised Learning, Ensemble Techniques, Hyperparameter Optimization, and Deep Learning; Strong experience in developing and maintaining machine learning models.</li><li>years programming experience in Python, including Numpy, Scipy, Pandas, Regex, Matplotlib and other machine learning libraries (or equivalent platforms)</li><li>in visualization tools like Qlik, Power BI etc. will be an added advantage.</li><li>with data and machine learning services using Azure.</li><li>have experience with Github.</li><li>Experience in Big data technologies will be an advantage.</li><li>to work in a team setting to understand problems and map out solutions, Having strong problem solving skills.</li><li>along with strong organization and time management skills is essential.</li><li>at research and looking to apply new methodologies to varied situations.</li><li>communication and presentation skills</li><li>advanced degree in data science, business analytics, computers, statistics, mathematics or economics</li><li>to 10 years of work experience in a related space; Experience in BFSI domain will be added advantage.</li></ul>

JOB DESCRIPTIONJob Overview:Chubb is seeking a highly motivated and experienced Operational Research Data Scientist to join our team. This critical role will work alongside our lead data scientist and other data scientists to deliver impactful optimization solutions for our new initiative. The ideal candidate will have a solid foundation in the application of mathematical models to solve complex business problems and be eager to learn and apply the latest OR and AI techniques.Job Responsibilities: Develop and implement optimization models to improve business performance and operational efficiencies in the insurance industry Analyze large volumes of data and provide insights to make data-driven decisions for use in insurance risk profiling, claims management and other key problem areas Collaborate with cross-functional teams including actuaries, underwriters, and IT to design, develop, and integrate optimization solutions Participate in the end-to-end data science lifecycle from problem definition to model implementation Use AI algorithms and predictive modeling to create dynamic optimization models that can quickly adapt to changing market conditions and customer needs Stay up-to-date with the latest OR and AI techniques and explore innovative solutions to drive impactful optimization resultsQUALIFICATIONSABOUT USChubb is a world leader in insurance. 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.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 retaliation against any individual who reports discrimination or harassment.#J-18808-Ljbffrby Jobble

The Purpose of the role We are seeking a senior tech lead of the Advanced Analytics, who will be at the foreftont of developing new innovative data driven solutions with bleeding edge machine learning algorithms and leading team of data engineers, data scientists and full stack developers.AI Senior Lead Data Scientist is a techno manager job that uses AI, machine learning techniques to automate underwriting processes, improve claims outcomes and/or pricing solutions. This person will lead vibrant data science group, alongside data engineers, data analysts, and code developers to develop these solutions and put them into production for the business.Ideal candidate for this role is someone with a strong education in computer science, data science, statistics, applied math or a related field, and who is eager to tackle problems with innovative thinking without compromising detail business insights. You are adept at solving diverse problems by utilizing a variety of different tools, strategies, machine learning techniques, algorithms and programming languages. Responsibilities<ul><li>Work with business partners globally, determine analyses to be performed, manage deliverables against timelines, present of results and implement the model</li><li>Use broad spectrum of Machine Learning and statistical models to extract impactful features from structured/unstructured data. </li><li>Develop and implement models that help with automating, getting insights, make smart decisions; Ensure that the model is able to meet the desired KPIs post-production</li><li>Predictive modelling using ML/GLM, recommender systems, embeddings-based segmentation and Python/Pyspark, Constraint optimization, Portfolio optimization, Price/profit optimizer, Curve fiting, Particle Swarm, Evolutionary optimization techniques. </li><li>Azure (optional), Insurance(optional), preferred </li><li>Stay abreast of the developments in the rapidly changing field of AI and machine learning</li><li>Lead and manage team of data engineers and data scientists</li><li>Gain deeper understanding of Chubb’s business and develop expertise on multiple lines of business</li></ul> Requirements <ul><li>Sound understanding of ML concepts/ Probabilistic Models, Supervised / Unsupervised Learning, Ensemble Techniques, Hyperparameter Good knowledge of constraint Optimization, and Deep Learning; Strong experience in developing and maintaining machine learning models/sound knowledge of Regression/ Logistic Regression, Random Forest, XGBoost, SVM, Clustering, building data pipelines in Azure/Databricks</li></ul>Proficient in Python/Pyspark with strong capabilities in data analysis/modellingStrong experience in managing technical teams. Explore data and communicate insights clearly to non-technical as well as technical audience.Expertise in python machine learning tools and libraries (scikit-learn, h2o, R/MLlib or similar etc.) <ul><li>8-10 years programming experience in using Python libraries / machine learning libraries.</li><li>Desirable to have experience in visualization tools like Qlik, Power BI, Tableau etc. </li><li>Desirable to have experience with data and machine learning services using Azure.</li><li>Desirable to have knowledge/ experience in big data technologies </li><li>Must have strong problem-solving skills.</li><li>Should be adept at research and must look to apply new methodologies to varied situations.</li><li>Must possess an advanced degree in engineering/computer sciences/data science/business analytics/statistics/mathematics or related domain.</li></ul>

The Purpose of the roleAs a key member of the Advanced Analytics and Digital team, he/she will be at the foreftont of developing new innovative data driven solutions with bleeding edge machine learning algorithms. AI Data Scientist is a technical job that uses machine learning techniques to automate underwriting processes. This person will be working in a vibrant data science group, alongside data engineers, data analysts, architects, and code developers to develop these solutions and put them into production for the business.Ideal candidate for this role is someone with a strong education in computer science, data science, statistics, applied math or a related field, and who is eager to tackle problems with innovative thinking without compromising detail business insights. You are adept at solving diverse problems by utilizing a variety of different tools, strategies, machine learning techniques, algorithms and programming languages.Responsibilities<ul><li>Work with business partners globally to define the scope of the project, determine analyses to be performed, manage deliverables against timelines, present of results and implement the model</li><li>Use broad spectrum of NLP, Machine Learning and deep learning techniques to extract impactful features from unstructured data</li><li>Develop and implement models that help with automating the underwriting process; Ensure that the model is able to meet the desired KPIs post production</li><li>Be a thought leader and generate ideas / novel approaches to business problems.</li><li>Stay abreast of the developments in the rapidly changing field of AI and machine learning.</li><li>Handle stakeholder requests and perform work with little to no assistance.</li><li>Mentor and coach junior team members and provide support on projects requiring advanced skill and domain expertise.</li><li>Gain deeper understanding of Chubb’s business and develop expertise on multiple lines of business.</li></ul> Required knowledge, Skills and qualifications<ul><li>understanding of ML concepts – Probabilistic Models, Supervised vs Unsupervised Learning, Ensemble Techniques, Hyperparameter Optimization, and Deep Learning; Strong experience in developing and maintaining machine learning models.</li><li>years programming experience in Python, including Numpy, Scipy, Pandas, Regex, Matplotlib and other machine learning libraries</li><li>in visualization tools like Qlik, Power BI etc. will be an added advantage.</li><li>have experience with data and machine learning services using Azure.</li><li>have experience with Github and RESTful APIs</li><li>Experience in Big data technologies will be an advantage.</li><li>be able to work in a team setting to understand problems and map out solutions; Must have strong problem-solving skills.</li><li>along with strong organization and time management skills is essential.</li><li>be adept at research and must look to apply new methodologies to varied situations.</li><li>communication and presentation skills</li><li>possess an advanced degree in data science, business analytics, computers, statistics, mathematics or economics.</li><li>with 5 to 10 years of work experience in a related space can apply for this role. Experience in BFSI domain will be added advantage.</li></ul>

Data Scientist Chubb Jobs

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Data Scientist Chubb Jobs

Data ScientistApril 29, 2024

Operational Research Data ScientistApril 29, 2024

Data ScientistApril 28, 2024

Data ScientistApril 26, 2024

Operational Research Data ScientistApril 22, 2024

Data ScientistApril 19, 2024

Senior Data ScientistApril 19, 2024

Managersr Manager Data ScientistApril 14, 2024

Data ScientistApril 14, 2024

Lead Operational Research Data ScientistApril 3, 2024