Data Scientist

Data Scientist Job Summary

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.

Chubb’s North America Data & Analytics Division is currently seeking a Data Scientist with X+ year of experience to develop model monitoring solutions for various types of data science ML applications. This position offers exposure to a very wide variety of analytic tools and technologies as well as unique challenges in problem-solving. Be ready to leverage internal/external data sources as you monitor best-in-class machine learning model solutions. As a key member of the Advanced Analytics, he/she will be at the foreftont of developing new innovative data driven solutions with bleeding edge machine learning algorithms.

In this role, you will:

• Address model drift and performance of business requirements as part of recurring operations, drive quantitative model maintenance prioritization, and inform stakeholders. 
• Understand broad spectrum of Machine Learning and statistical models, impactful features from structured/unstructured data. 
• Understand and have experience in models that help automation, getting insights, make smart decisions, are able to meet the desired KPIs post-production and predictive modelling in Python, Azure (optional), Insurance(optional)
• Stay abreast of the developments in the rapidly changing field of AI and machine learning
• Gain deeper understanding of Chubb's business and develop expertise on multiple lines of business
• Collaborate with business partners and peers within the organization to understand the machine learning models and develop robust model monitoring solutions that ensure data quality and analytic accuracy.
• Execute all aspects of analytics model monitoring including exploratory data analysis, data processing, and model monitoring.
• Ability to identify trends and outliers in model results and analyze drift and impact to business value.
• Research, recommend, and implement statistical and other mathematical methodologies appropriate for model monitoring.
• Create/Maintain excellent working relationships with business partners across the Chubb organization 
• Provide supporting documentation for the models being monitored including documentation of methodologies used and data issues encountered.

Qualifications

• Required:
  • Some experience utilizing model monitoring methodologies.
• Understanding of data mining predictive modeling, and ML concepts/ Probabilistic Models, Ensemble Techniques, Hyperparameter Optimization, machine learning models/sound knowledge of Regression/ Logistic Regression, Random forest, XGBoost, SVM, Clustering, statistical modelling (GLMs in particular), etc.
•  Proficient in Python with strong capabilities in data analysis/modelling
• 4-8 years programming experience in using Python libraries / machine learning libraries.
• Strong Programming experience in Python. 
• Strong Programming experience in SQL.
• The ability to multi-task, learn new things quickly, and demonstrate excellent problem-solving skills.
• Preferred:
  • Working knowledge/familiarity with Git version control.
  • Practical experience with MS Azure and Databricks.
  • Experience in architecting and consuming APIs at scale.
  • Desirable to have experience in visualization tools like Qlik, Power BI, Tableau etc. 
  • Experience with Text Analytics and Natural Language Processing. Experience with BERT models/understanding of vector embeddings and operations on unstructured data.
• Nice to have:
  • Advanced knowledge of model tuning, evaluation, and operationalization.
  • Experience with Deep Learning libraries (Tensorflow / Keras, PyTorch, MXNet, etc.). Experience with Azure ML/ MLFlow.
  • Experience with at least one other programming language (Python, R, Julia, Scala, Go, Java, C++).

Education:

Bachelor’s degree in Statistics, Economics, Data Science, or related field.  Advanced degree a plus. 

Why Chubb Business Services India: A global organization of very advanced analytics capabilities?

Here are some reasons to join us:

• You will be joining a group of diverse and driven professionals trained to succeed in today’s advanced analytics landscape.
• 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. Email priyanka.pitta@chubb.com.

Data Scientist Job Summary

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.

Chubb’s North America Data & Analytics Division is currently seeking a Data Scientist with X+ year of experience to develop model monitoring solutions for various types of data science ML applications. This position offers exposure to a very wide variety of analytic tools and technologies as well as unique challenges in problem-solving. Be ready to leverage internal/external data sources as you monitor best-in-class machine learning model solutions. As a key member of the Advanced Analytics, he/she will be at the foreftont of developing new innovative data driven solutions with bleeding edge machine learning algorithms.

In this role, you will:

• Address model drift and performance of business requirements as part of recurring operations, drive quantitative model maintenance prioritization, and inform stakeholders. 
• Understand broad spectrum of Machine Learning and statistical models, impactful features from structured/unstructured data. 
• Understand and have experience in models that help automation, getting insights, make smart decisions, are able to meet the desired KPIs post-production and predictive modelling in Python, Azure (optional), Insurance(optional)
• Stay abreast of the developments in the rapidly changing field of AI and machine learning
• Gain deeper understanding of Chubb's business and develop expertise on multiple lines of business
• Collaborate with business partners and peers within the organization to understand the machine learning models and develop robust model monitoring solutions that ensure data quality and analytic accuracy.
• Execute all aspects of analytics model monitoring including exploratory data analysis, data processing, and model monitoring.
• Ability to identify trends and outliers in model results and analyze drift and impact to business value.
• Research, recommend, and implement statistical and other mathematical methodologies appropriate for model monitoring.
• Create/Maintain excellent working relationships with business partners across the Chubb organization 
• Provide supporting documentation for the models being monitored including documentation of methodologies used and data issues encountered.

Qualifications

• Required:
  • Some experience utilizing model monitoring methodologies.
• Understanding of data mining predictive modeling, and ML concepts/ Probabilistic Models, Ensemble Techniques, Hyperparameter Optimization, machine learning models/sound knowledge of Regression/ Logistic Regression, Random forest, XGBoost, SVM, Clustering, statistical modelling (GLMs in particular), etc.
•  Proficient in Python with strong capabilities in data analysis/modelling
• 4-8 years programming experience in using Python libraries / machine learning libraries.
• Strong Programming experience in Python. 
• Strong Programming experience in SQL.
• The ability to multi-task, learn new things quickly, and demonstrate excellent problem-solving skills.
• Preferred:
  • Working knowledge/familiarity with Git version control.
  • Practical experience with MS Azure and Databricks.
  • Experience in architecting and consuming APIs at scale.
  • Desirable to have experience in visualization tools like Qlik, Power BI, Tableau etc. 
  • Experience with Text Analytics and Natural Language Processing. Experience with BERT models/understanding of vector embeddings and operations on unstructured data.
• Nice to have:
  • Advanced knowledge of model tuning, evaluation, and operationalization.
  • Experience with Deep Learning libraries (Tensorflow / Keras, PyTorch, MXNet, etc.). Experience with Azure ML/ MLFlow.
  • Experience with at least one other programming language (Python, R, Julia, Scala, Go, Java, C++).

Education:

Bachelor’s degree in Statistics, Economics, Data Science, or related field.  Advanced degree a plus. 

Why Chubb Business Services India: A global organization of very advanced analytics capabilities?

Here are some reasons to join us:

• You will be joining a group of diverse and driven professionals trained to succeed in today’s advanced analytics landscape.
• 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. Email priyanka.pitta@chubb.com.