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. One of Chubb’s most advanced AI analytics products is looking for a Lead Data Scientist to help build and deploy the capability to multiple insurance products across the globe. The ideal candidate will possess a strong background in statistical modeling, machine learning, and data analysis. In this role, you will collaborate with cross-functional teams to extract insights from complex data sets, develop predictive models, and implement innovative solutions that enhance business performance.

 

Responsibilities

Work with business partners globally, manage deliverables against timelines, presentation of results and implement the model Use broad spectrum of Machine Learning and statistical models to extract impactful features from structured/unstructured data.  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 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.  Azure (optional), Insurance(optional), preferred  Stay abreast of the developments in the rapidly changing field of machine learning Lead and manage team of junior data scientists Gain deeper understanding of Chubb’s business and develop expertise on multiple lines of business Develop adaptable modeling frameworks and reusable assets that can be applied across various projects.

 

Requirements 

Master’s degree in Statistics, Mathematics, Analytics, or Computer Science is preferred. 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 Proficient in Python/Pyspark with strong capabilities in data analysis/modelling Strong 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.)  6-8 years programming experience in using Python libraries / machine learning libraries. Desirable to have experience in visualization tools like Qlik, Power BI, Tableau etc.  Desirable to have experience with data and machine learning services using Azure. Desirable to have knowledge/ experience in big data technologies  Must have strong problem-solving skills. Should be adept at research and must look to apply new methodologies to varied situations. Must possess an advanced degree in engineering/computer sciences/data science/business analytics/statistics/mathematics or related domain.

 

Why Chubb Business Services India?

Here are some reasons to join us:

You will be joining a group of diverse and driven professionals trained to succeed in today’s insurance landscape. We provide the opportunity to cultivate a robust career; we accommodate your growth and development even as we expect you to make meaningful contributions to our company. We offer competitive compensation and benefit programs. We pride ourselves in being a meritocracy that rewards the best talent. We seek to create an inclusive environment where employees of different cultures and backgrounds can thrive.

Our company and culture

Chubb Business Services India focuses on building strong capability in the areas related to technology, CAT modeling, risk management, actuarial services, and advanced analytics. The culture we would like to establish would align with the core principles of the organization as outlined below with the desire to transform and grow together.   

Our culture reflects a commitment to craftsmanship and as craftspeople, we adhere to certain ideals:

A Can-Do Attitude – we are optimistic about our future and we have an enthusiasm to serve our customers and business partners with utmost speed and energy. We approach our work with passion – people want to live their lives with meaning. We have a shared vision to build something great – to serve society and leave the world a little better place because we’ve been here. Excellence in All We Do – we hold ourselves to exacting standards of technical proficiency. Customers can count on us to pay claims fairly and quickly. Agents and brokers can rely on us for attention to detail and help them build their businesses Constant Improvement – we are a learning organization. We are constantly searching for ways to improve our craft. We relentlessly pursue data-driven insights to drive better, smarter decision-making – our portfolio management efforts, for example.

Global Reach and Local Expertise – we apply our craft locally all around the world. We appreciate differences in culture, history and geography. And this enables us to adapt accordingly to best serve diverse customers, markets and distribution

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. One of Chubb’s most advanced AI analytics products is looking for a Lead Data Scientist to help build and deploy the capability to multiple insurance products across the globe. The ideal candidate will possess a strong background in statistical modeling, machine learning, and data analysis. In this role, you will collaborate with cross-functional teams to extract insights from complex data sets, develop predictive models, and implement innovative solutions that enhance business performance.

 

Responsibilities

Work with business partners globally, manage deliverables against timelines, presentation of results and implement the model Use broad spectrum of Machine Learning and statistical models to extract impactful features from structured/unstructured data.  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 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.  Azure (optional), Insurance(optional), preferred  Stay abreast of the developments in the rapidly changing field of machine learning Lead and manage team of junior data scientists Gain deeper understanding of Chubb’s business and develop expertise on multiple lines of business Develop adaptable modeling frameworks and reusable assets that can be applied across various projects.

 

Requirements 

Master’s degree in Statistics, Mathematics, Analytics, or Computer Science is preferred. 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 Proficient in Python/Pyspark with strong capabilities in data analysis/modelling Strong 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.)  6-8 years programming experience in using Python libraries / machine learning libraries. Desirable to have experience in visualization tools like Qlik, Power BI, Tableau etc.  Desirable to have experience with data and machine learning services using Azure. Desirable to have knowledge/ experience in big data technologies  Must have strong problem-solving skills. Should be adept at research and must look to apply new methodologies to varied situations. Must possess an advanced degree in engineering/computer sciences/data science/business analytics/statistics/mathematics or related domain.

 

Why Chubb Business Services India?

Here are some reasons to join us:

You will be joining a group of diverse and driven professionals trained to succeed in today’s insurance landscape. We provide the opportunity to cultivate a robust career; we accommodate your growth and development even as we expect you to make meaningful contributions to our company. We offer competitive compensation and benefit programs. We pride ourselves in being a meritocracy that rewards the best talent. We seek to create an inclusive environment where employees of different cultures and backgrounds can thrive.

Our company and culture

Chubb Business Services India focuses on building strong capability in the areas related to technology, CAT modeling, risk management, actuarial services, and advanced analytics. The culture we would like to establish would align with the core principles of the organization as outlined below with the desire to transform and grow together.   

Our culture reflects a commitment to craftsmanship and as craftspeople, we adhere to certain ideals:

A Can-Do Attitude – we are optimistic about our future and we have an enthusiasm to serve our customers and business partners with utmost speed and energy. We approach our work with passion – people want to live their lives with meaning. We have a shared vision to build something great – to serve society and leave the world a little better place because we’ve been here. Excellence in All We Do – we hold ourselves to exacting standards of technical proficiency. Customers can count on us to pay claims fairly and quickly. Agents and brokers can rely on us for attention to detail and help them build their businesses Constant Improvement – we are a learning organization. We are constantly searching for ways to improve our craft. We relentlessly pursue data-driven insights to drive better, smarter decision-making – our portfolio management efforts, for example.

Global Reach and Local Expertise – we apply our craft locally all around the world. We appreciate differences in culture, history and geography. And this enables us to adapt accordingly to best serve diverse customers, markets and distribution