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Data Scientist-ii - Bengaluru, Karnataka, India - Chubb

Chubb

Verified Company

Bengaluru, Karnataka, India

1 month ago

Posted by:

Deepika Kaur

beBee Recuiter

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 postproduction 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
48 years programming experience in using Python libraries / machine learning libraries.
Strong Programming experience in Python.
Strong Programming experience in SQL.
The ability to multitask, learn new things quickly, and demonstrate excellent problemsolving 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 ++ ).

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 postproduction 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 p

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