Job Description: Senior Data Scientist- ML & Text analytics
www.chubb.com
About the company
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.
Location: Bengaluru, India
Summary – A highly skilled and experienced Lead Data Scientist specializing in text data analysis and be responsible for driving innovative solutions using advanced analytics techniques to process, analyze, and extract valuable insights, and provide actionable recommendations to improve business performance.
Responsibilities
Collaborate with cross-functional teams and stakeholders to identify business requirements and objectives, manage deliverables against timelines, present of results and implement the model. Utilize advanced statistical analysis techniques to perform hypothesis testing, A/B testing, and predictive modeling. Stay abreast of the developments in the rapidly changing field of AI and machine learning. Mentor and coach junior team members and provide support on projects requiring advanced skill and domain expertise. Gain deeper understanding of Chubb’s business and develop expertise on multiple lines of business. Use broad spectrum of NLP, Machine Learning, and deep learning techniques to extract impactful features from unstructured data. Develop and implement models that help with drawing risk related insights from large datasets to aid business decision making; Ensure that the model can meet the desired KPIs postproduction. Develop metrics to measure business performance and monitor the effectiveness of data-driven initiatives. Collaborate with IT teams to optimize data collection, storage, and retrieval processes to support efficient and reliable data analytics.
Requirements
Sound understanding of Generative AI based models and Prompt Engineering and LLMs to drive innovation and generate valuable insights from the data. Strong grasp of foundational ML concepts, including Probabilistic Models, Supervised vs Unsupervised Learning, Ensemble Techniques, Hyperparameter Optimization, and Deep Learning. Good knowledge in machine learning tools and libraries (matplotlib, ggplot, scikit-learn, h2o, MLlib, etc.) Proficient in Python with strong capabilities in data engineering, data transformation, data analysis and data dashboard building. Knowledge of R/SQL would be an add-on. Strong understanding of BERT and Transformers models is highly desired for this position. Bachelor's degree in computer science, Statistics, Math, Actuarial, or related quantitative fields. Advanced degree in data science, business analytics would be an add on. Minimum 6 years of hands-on experience in data analytics fields would be good. Previous exposure to/ knowledge of the insurance industry will be an added advantage. A deep passion for staying up to date with the latest advances and trends in the fields of ML, AI, and data science.
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 diverse 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 want to establish would align with the organization's core principles 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 in a little better place because we have 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
Job Description: Senior Data Scientist- ML & Text analytics
www.chubb.com
About the company
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.
Location: Bengaluru, India
Summary – A highly skilled and experienced Lead Data Scientist specializing in text data analysis and be responsible for driving innovative solutions using advanced analytics techniques to process, analyze, and extract valuable insights, and provide actionable recommendations to improve business performance.
Responsibilities
Collaborate with cross-functional teams and stakeholders to identify business requirements and objectives, manage deliverables against timelines, present of results and implement the model. Utilize advanced statistical analysis techniques to perform hypothesis testing, A/B testing, and predictive modeling. Stay abreast of the developments in the rapidly changing field of AI and machine learning. Mentor and coach junior team members and provide support on projects requiring advanced skill and domain expertise. Gain deeper understanding of Chubb’s business and develop expertise on multiple lines of business. Use broad spectrum of NLP, Machine Learning, and deep learning techniques to extract impactful features from unstructured data. Develop and implement models that help with drawing risk related insights from large datasets to aid business decision making; Ensure that the model can meet the desired KPIs postproduction. Develop metrics to measure business performance and monitor the effectiveness of data-driven initiatives. Collaborate with IT teams to optimize data collection, storage, and retrieval processes to support efficient and reliable data analytics.
Requirements
Sound understanding of Generative AI based models and Prompt Engineering and LLMs to drive innovation and generate valuable insights from the data. Strong grasp of foundational ML concepts, including Probabilistic Models, Supervised vs Unsupervised Learning, Ensemble Techniques, Hyperparameter Optimization, and Deep Learning. Good knowledge in machine learning tools and libraries (matplotlib, ggplot, scikit-learn, h2o, MLlib, etc.) Proficient in Python with strong capabilities in data engineering, data transformation, data analysis and data dashboard building. Knowledge of R/SQL would be an add-on. Strong understanding of BERT and Transformers models is highly desired for this position. Bachelor's degree in computer science, Statistics, Math, Actuarial, or related quantitative fields. Advanced degree in data science, business analytics would be an add on. Minimum 6 years of hands-on experience in data analytics fields would be good. Previous exposure to/ knowledge of the insurance industry will be an added advantage. A deep passion for staying up to date with the latest advances and trends in the fields of ML, AI, and data science.
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 diverse 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 want to establish would align with the organization's core principles 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 in a little better place because we have 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