Sr Data Scientist - GD07AE

We’re determined to make a difference and are proud to be an insurance company that goes well beyond coverages and policies. Working here means having every opportunity to achieve your goals – and to help others accomplish theirs, too. Join our team as we help shape the future.

The Hartford is seeking a skilled Data Scientist to drive innovation through Generative AI. In this role, you will be responsible for applying your expertise in generative AI models (text and image) and Natural Language Processing (NLP) methods to develop and deploy solutions that address critical business needs. You will work closely with business stakeholders to understand their challenges and translate them into data-driven solutions. This is an exciting opportunity to contribute to the development of transformative Generative AI capabilities and shape the future of our business. If you have a strong foundation in data science and a passion for Generative AI, we invite you to apply.

We're growing our Small Commercial Data Science team to spearhead the development of Generative AI solutions. This expansion focuses on leveraging Cloud services, both large and small GenAI models, and established Natural Language Processing techniques to tackle key business challenges. You'll be instrumental in creating innovative solutions for efficient underwriting, accelerating processes, and identifying risks by analyzing vast amounts of internal and external data. Join us and be at the forefront of applying cutting-edge AI to transform our small commercial business.

This role can have a Hybrid or Remote work arrangement. Candidates who live near one of our office locations (Hartford, CT, Charlotte, NC, Chicago, IL, Columbus, OH) will have the expectation of working in an office 3 days a week (Tuesday through Thursday) Candidates who do not live near an office will have a remote work arrangement, with the expectation of coming into an office as business needs arise.

Key Responsibilities:

Design and develop end-to-end AI solutions, including data ingestion, feature engineering, model development, and deployment, in both traditional and GenAI settings

Collaborate closely with business stakeholders to understand their needs and develop solutions that meet their requirements

Work with cross-functional teams to integrate AI solutions into existing business processes and systems

Develop and maintain complex data pipelines and architectures using cloud-based platforms (AWS and/or GCP)

Design and implement data governance and quality control processes to ensure high-quality data

Develop and maintain models using a variety of machine learning algorithms and deep learning techniques

Conduct thorough analysis and testing of AI solutions to ensure their accuracy, reliability, and performance

Stay up to date with the latest advancements in AI and machine learning and apply this knowledge to drive innovation and improvement

Requirements:

Masters in computer science, Statistics, Mathematics, or related field

5+ years of experience in data science and AI development

Strong programming skills in languages such as Python or SQL

Experience with cloud-based platforms, including AWS and/or GCP

Strong understanding of machine learning algorithms and deep learning techniques

Excellent communication and collaboration skills, with the ability to work effectively with stakeholders at all levels

Strong problem-solving skills, with the ability to analyze complex problems and develop creative solutions

Experience with GenAI and traditional AI solutions development

Candidate must be authorized to work in the US without company sponsorship. The company will not support the STEM OPT I-983 Training Plan endorsement for this position.

Preferred Qualifications:

Experience with commercial insurance domain and regulatory requirements

Certification in GenAI, machine learning, or AWS MLE

RAG Architecture: Data Ingestion, Data Retrieval – optimal methods such as hybrid search, etc., and Data Generation

GenAI (multi-modal) Validation:

Involve subject matter experts, domain specialists, and end-users in the validation process to assess the quality, accuracy, and relevance of the GenAI outputs.

Implement end-to-end pipeline that captures scores including but not limited to BertScore, BLEURT (BERT-based Learned Unidirectional Representation from Transformers), etc. to assess golden data sets at different stages of development and deployment.

Experience with end-to-end deployment of GenAI solutions

Compensation

The listed annualized base pay range is primarily based on analysis of similar positions in the external market. Actual base pay could vary and may be above or below the listed range based on factors including but not limited to performance, proficiency and demonstration of competencies required for the role. The base pay is just one component of The Hartford’s total compensation package for employees. Other rewards may include short-term or annual bonuses, long-term incentives, and on-the-spot recognition. The annualized base pay range for this role is:

$110,720 - $166,080

Equal Opportunity Employer/Females/Minorities/Veterans/Disability/Sexual Orientation/Gender Identity or Expression/Religion/Age

About Us (https://www.thehartford.com/about-us) | Culture & Employee Insights (https://www.thehartford.com/careers/employee-stories) | Diversity, Equity and Inclusion (https://www.thehartford.com/about-us/corporate-diversity) | Benefits (https://www.thehartford.com/careers/benefits)

Human achievement is at the heart of what we do.

We believe that with the right encouragement and support, people are capable of achieving amazing things.

We put our belief into action by ensuring individuals and businesses are well protected, and by going even further – making an impact in ways that go beyond an insurance policy.

Nearly 19,000 employees use their unique talents in careers that span a variety of disciplines – from developing the latest technology to creating and promoting our products to evaluating future financial risks.

We’re also committed to programs that drive education and support volunteerism, which put human beings first. We do it because it’s the right thing to do, and because when our customers, communities and employees succeed, we all do.

About Us (https://www.thehartford.com/about-us)

Culture & Employee Insights (https://www.thehartford.com/careers/employee-stories)

Diversity, Equity and Inclusion (https://www.thehartford.com/about-us/corporate-diversity)

Benefits (https://www.thehartford.com/careers/benefits)

Legal Notice (https://www.thehartford.com/legal-notice)

Accessibility StatementProducer Compensation (https://www.thehartford.com/producer-compensation)

EEO

Privacy Policy (https://www.thehartford.com/online-privacy-policy)

California Privacy Policy

Your California Privacy Choices (https://www.thehartford.com/data-privacy-opt-out-form)

International Privacy Policy

Canadian Privacy Policy (https://www.thehartford.com/canadian-privacy-policy)

Unincorporated Areas of LA County, CA (Applicant Information)

Sr Data Scientist - GD07AE Data Scientist - GD08AE
We’re determined to make a difference and are proud to be an insurance company that goes well beyond coverages and policies. Working here means having every opportunity to achieve your goals – and to help others accomplish theirs, too. Join our team as we help shape the future.
The Hartford is seeking a skilled Data Scientist/Sr Data Scientist to drive innovation through Generative AI. In this role, you will be responsible for applying your expertise in generative AI models (text and image) and Natural Language Processing (NLP) methods to develop and deploy solutions that address critical business needs. You will work closely with business stakeholders to understand their challenges and translate them into data-driven solutions. This is an exciting opportunity to contribute to the development of transformative Generative AI capabilities and shape the future of our business. If you have a strong foundation in data science and a passion for Generative AI, we invite you to apply.
We're growing our Small Commercial Data Science team to spearhead the development of Generative AI solutions. This expansion focuses on leveraging Cloud services, both large and small GenAI models, and established Natural Language Processing techniques to tackle key business challenges. You'll be instrumental in creating innovative solutions for efficient underwriting, accelerating processes, and identifying risks by analyzing vast amounts of internal and external data. Join us and be at the forefront of applying cutting-edge AI to transform our small commercial business.
This role can have a Hybrid or Remote work arrangement. Candidates who live near one of our office locations (Hartford, CT, Charlotte, NC, Chicago, IL, Columbus, OH) will have the expectation of working in an office 3 days a week (Tuesday through Thursday). Candidates who do not live near an office will have a remote work arrangement, with the expectation of coming into an office as business needs arise.
Key Responsibilities:
Design and develop end-to-end AI solutions, including data ingestion, feature engineering, model development, and deployment, in both traditional and GenAI settings
Collaborate closely with business stakeholders to understand their needs and develop solutions that meet their requirements
Work with cross-functional teams to integrate AI solutions into existing business processes and systems
Develop and maintain complex data pipelines and architectures using cloud-based platforms (AWS and/or GCP)
Design and implement data governance and quality control processes to ensure high-quality data
Develop and maintain models using a variety of machine learning algorithms and deep learning techniques
Conduct thorough analysis and testing of AI solutions to ensure their accuracy, reliability, and performance
Stay up to date with the latest advancements in AI and machine learning and apply this knowledge to drive innovation and improvement
Requirements:
Masters in computer science, Statistics, Mathematics, or related field
2+ years of experience in data science and AI development
Strong programming skills in languages such as Python or SQL
Experience with cloud-based platforms, including AWS and/or GCP
Strong understanding of machine learning algorithms and deep learning techniques
Excellent communication and collaboration skills, with the ability to work effectively with stakeholders at all levels
Strong problem-solving skills, with the ability to analyze complex problems and develop creative solutions
Experience with GenAI and traditional AI solutions development
Candidate must be authorized to work in the US without company sponsorship. The company will not support the STEM OPT I-983 Training Plan endorsement for this position.
Preferred Qualifications:
Experience with commercial insurance domain and regulatory requirements
5+ years of experience in data science and AI development (Sr Data Scientist)
Certification in GenAI, machine learning, or AWS MLE
RAG Architecture:  Data Ingestion, Data Retrieval – optimal methods such as hybrid search, etc., and Data Generation
GenAI (multi-modal) Validation:   Involve subject matter experts, domain specialists, and end-users in the validation process to assess the quality, accuracy, and relevance of the GenAI outputs.
Implement end-to-end pipeline that captures scores including but not limited to BertScore, BLEURT (BERT-based Learned Unidirectional Representation from Transformers), etc. to assess golden data sets at different stages of development and deployment.

Experience with end-to-end deployment of GenAI solutions
Compensation
The listed annualized base pay range is primarily based on analysis of similar positions in the external market. Actual base pay could vary and may be above or below the listed range based on factors including but not limited to performance, proficiency and demonstration of competencies required for the role. The base pay is just one component of The Hartford’s total compensation package for employees. Other rewards may include short-term or annual bonuses, long-term incentives, and on-the-spot recognition. The annualized base pay range for this role is:
$110,720 - $166,080
The posted salary range reflects our ability to hire at different position titles and levels depending on background and experience.
Equal Opportunity Employer/Females/Minorities/Veterans/Disability/Sexual Orientation/Gender Identity or Expression/Religion/Age
About Us  |  Culture & Employee Insights  |  Diversity, Equity and Inclusion  |  Benefits

#J-18808-Ljbffr

Sr Data Scientist - GD07AE
We’re determined to make a difference and are proud to be an insurance company that goes well beyond coverages and policies. Working here means having every opportunity to achieve your goals – and to help others accomplish theirs, too. Join our team as we help shape the future.
The Hartford is seeking a skilled Data Scientist to drive innovation through Generative AI. In this role, you will be responsible for applying your expertise in generative AI models (text and image) and Natural Language Processing (NLP) methods to develop and deploy solutions that address critical business needs. You will work closely with business stakeholders to understand their challenges and translate them into data-driven solutions. This is an exciting opportunity to contribute to the development of transformative Generative AI capabilities and shape the future of our business. If you have a strong foundation in data science and a passion for Generative AI, we invite you to apply.
We're growing our Small Commercial Data Science team to spearhead the development of Generative AI solutions. This expansion focuses on leveraging Cloud services, both large and small GenAI models, and established Natural Language Processing techniques to tackle key business challenges. You'll be instrumental in creating innovative solutions for efficient underwriting, accelerating processes, and identifying risks by analyzing vast amounts of internal and external data. Join us and be at the forefront of applying cutting-edge AI to transform our small commercial business.
This role can have a Hybrid or Remote work arrangement. Candidates who live near one of our office locations (Hartford, CT, Charlotte, NC, Chicago, IL, Columbus, OH) will have the expectation of working in an office 3 days a week (Tuesday through Thursday). Candidates who do not live near an office will have a remote work arrangement, with the expectation of coming into an office as business needs arise.
Key Responsibilities:
Design and develop end-to-end AI solutions, including data ingestion, feature engineering, model development, and deployment, in both traditional and GenAI settings
Collaborate closely with business stakeholders to understand their needs and develop solutions that meet their requirements
Work with cross-functional teams to integrate AI solutions into existing business processes and systems
Develop and maintain complex data pipelines and architectures using cloud-based platforms (AWS and/or GCP)
Design and implement data governance and quality control processes to ensure high-quality data
Develop and maintain models using a variety of machine learning algorithms and deep learning techniques
Conduct thorough analysis and testing of AI solutions to ensure their accuracy, reliability, and performance
Stay up to date with the latest advancements in AI and machine learning and apply this knowledge to drive innovation and improvement
Requirements:
Masters in computer science, Statistics, Mathematics, or related field
5+ years of experience in data science and AI development
Strong programming skills in languages such as Python or SQL
Experience with cloud-based platforms, including AWS and/or GCP
Strong understanding of machine learning algorithms and deep learning techniques
Excellent communication and collaboration skills, with the ability to work effectively with stakeholders at all levels
Strong problem-solving skills, with the ability to analyze complex problems and develop creative solutions
Experience with GenAI and traditional AI solutions development
Candidate must be authorized to work in the US without company sponsorship. The company will not support the STEM OPT I-983 Training Plan endorsement for this position.
Preferred Qualifications:
Experience with commercial insurance domain and regulatory requirements
Certification in GenAI, machine learning, or AWS MLE
RAG Architecture:  Data Ingestion, Data Retrieval – optimal methods such as hybrid search, etc., and Data Generation
GenAI (multi-modal) Validation:   Involve subject matter experts, domain specialists, and end-users in the validation process to assess the quality, accuracy, and relevance of the GenAI outputs.
Implement end-to-end pipeline that captures scores including but not limited to BertScore, BLEURT (BERT-based Learned Unidirectional Representation from Transformers), etc. to assess golden data sets at different stages of development and deployment.

Experience with end-to-end deployment of GenAI solutions
Compensation:
The listed annualized base pay range is primarily based on analysis of similar positions in the external market. Actual base pay could vary and may be above or below the listed range based on factors including but not limited to performance, proficiency and demonstration of competencies required for the role. The base pay is just one component of The Hartford’s total compensation package for employees. Other rewards may include short-term or annual bonuses, long-term incentives, and on-the-spot recognition. The annualized base pay range for this role is:
$110,720 - $166,080
Equal Opportunity Employer/Females/Minorities/Veterans/Disability/Sexual Orientation/Gender Identity or Expression/Religion/Age

#J-18808-Ljbffr

Dir & Data Scientist - GD06BE
We’re determined to make a difference and are proud to be an insurance company that goes well beyond coverages and policies. Working here means having every opportunity to achieve your goals – and to help others accomplish theirs, too. Join our team as we help shape the future.
Are you ready to disrupt the future of insurance with the power of Artificial Intelligence and Generative AI? The candidate will join and help build a practice on par with leading AI research laboratories that focuses on practical AI use cases for The Hartford. We are looking for visionary technical leaders who can effectively nurture, challenge and inspire our teams, push boundaries enterprise-wide, and revolutionize how we underwrite, assess risk, process claims, and create standout customer experiences in the fast-changing world of AI!
This role requires an innovative, execution-focused Data Science leader with a deep scientific and implementation-focused understanding of the latest AI technologies, use cases, data engineering practices, and the ability to work with cross-functional teams across an enterprise. In this pivotal role, you will support the establishment of a world-class, leading-edge AI applied research team that leads in AI innovation and supports scaling and productization of the solutions with built in scalability, security, and self-service features.
The ideal candidate will have a deep AI research background and a proven track record integrating the latest AI capabilities and deliver solutions related to real-time data streaming, complex agentic frameworks, Data APIs, and graph knowledge bases, etc.
This role can have a Hybrid or Remote work arrangement. Candidates who live near one of our office locations will have the expectation of working in an office 3 days a week (Tuesday through Thursday). Candidates who do not live near an office will have a remote work arrangement, with the expectation of coming into an office as business needs arise.  Must be eligible to work in the US without company sponsorship.
Responsibilities:
Support The Hartford’s AI innovation strategy to identify and implement high-end use cases, ensuring alignment with business objectives and emerging industry trends.
Support cutting-edge AI vision and roadmap for the enterprise to make The Hartford a leader in using AI for the insurance industry.
Partner with stakeholders internal to the Data Science organization, Technology organization and business organization, aligning with business objectives and driving innovation to improve productivity and efficiency of underwriting and sales efforts.
A leader with strong architecture skills – who can conceptualize what needs to be built and then drive/contribute to the actual build.
Lead end-to-end AI projects from problem formulation to model deployment, integrated into a broader portfolio of advanced analytics.
Drive the development of state-of-the-art AI/ML models with a focus on AI, GenAI, Agent architecture-based chat solutions, Automated scenario simulation and model optimization.
Develop LLM models and data-driven solutions to optimize business processes, improve process transparency and drive data-driven decision making.
Design and conduct experiments, tests, and causal inference analysis to evaluate the effectiveness of interventions and initiatives.
Champion the integration of AI solutions within The Hartford’s AI platform to maximize reuse, scalability, and governance.
Closely work with cross-functional teams to define, prioritize, and implement features, infrastructure, processes, and workflows.
Stay up to date with the latest developments in AI, Large Language Models, Machine Learning, and related fields. Evaluate emerging technologies for potential adoption.
Support development of a high-performing enterprise AI team, fostering individual growth and technical excellence. Provide strategic AI leadership, influence stakeholders across the organization, and drive transformative AI initiatives that enhance decision-making, automation, and business impact.
Provide training and mentoring to team members on AI & GenAI technologies, agentic workflows, and implementation strategies. Share knowledge and best practices to foster a culture of innovation and continuous improvement.
Qualifications:
PhD in Computer Science, Artificial Intelligence, Machine Learning, Engineering or a related field is preferred with 4+ years of professional experience in AI with strong foundation in Machine Learning. Masters or Bachelors in Computer Science or related areas with 12+ years of industry experience would also be considered.
Ability to execute on a vision for AI initiatives and align them with business objectives. Strong understanding of AI trends and how to position AI as a strategic asset within the organization.
Experience in Data Science, Agent architecture (CrewAI, Semantic Kernel, Autogen, Prompt Flow), Large Language Models (Commercial and Open Source), LangChain, Retrieval Augmented Generation, Vector Databases, and Machine Learning models.
Proficiency in one or more general purpose programming languages like Python, Java and Machine learning libraries, e.g., PyTorch and scikit-learn.
Experience with both NoSQL and SQL database for data manipulation and querying.
Sound Knowledge of Docker, Kubernetes, Cloud based ML/LLMOps tools like SageMaker / ML Studio / Vertex AI. Experience with GCP, Cloud AI, Vertex AI, and Big Query strongly preferred.
Excellent communication and collaboration skills, with the ability to explain complex technical concepts to non-technical stakeholders across the enterprise.
Experience creating production environment data analytics and applications.
Insurance industry experience would be a plus.
Compensation:
The listed annualized base pay range is primarily based on analysis of similar positions in the external market. Actual base pay could vary and may be above or below the listed range based on factors including but not limited to performance, proficiency and demonstration of competencies required for the role. The base pay is just one component of The Hartford’s total compensation package for employees. Other rewards may include short-term or annual bonuses, long-term incentives, and on-the-spot recognition. The annualized base pay range for this role is: $138,000 - $207,000
Equal Opportunity Employer/Females/Minorities/Veterans/Disability/Sexual Orientation/Gender Identity or Expression/Religion/Age
About Us  |  Culture & Employee Insights  |  Diversity, Equity and Inclusion  |  Benefits

#J-18808-Ljbffr

Dir & Data Scientist - GD06BE
We’re determined to make a difference and are proud to be an insurance company that goes well beyond coverages and policies. Working here means having every opportunity to achieve your goals – and to help others accomplish theirs, too. Join our team as we help shape the future.
Are you ready to disrupt the future of insurance with the power of Artificial Intelligence and Generative AI? The candidate will join and help build a practice on par with leading AI research laboratories that focuses on practical AI use cases for The Hartford. We are looking for visionary technical leaders who can effectively nurture, challenge and inspire our teams, push boundaries enterprise-wide, and revolutionize how we underwrite, assess risk, process claims, and create standout customer experiences in the fast-changing world of AI!
This role requires an innovative, execution-focused Data Science leader with a deep scientific and implementation-focused understanding of the latest AI technologies, use cases, data engineering practices, and the ability to work with cross-functional teams across an enterprise. In this pivotal role, you will support the establishment of a world-class, leading-edge AI applied research team that leads in AI innovation and supports scaling and productization of the solutions with built in scalability, security, and self-service features.
The ideal candidate will have a deep AI research background and a proven track record integrating the latest AI capabilities and deliver solutions related to real-time data streaming, complex agentic frameworks, Data APIs, and graph knowledge bases, etc.
This role can have a Hybrid or Remote work arrangement. Candidates who live near one of our office locations will have the expectation of working in an office 3 days a week (Tuesday through Thursday). Candidates who do not live near an office will have a remote work arrangement, with the expectation of coming into an office as business needs arise.  Must be eligible to work in the US without company sponsorship.
Responsibilities:
Support The Hartford’s AI innovation strategy to identify and implement high-end use cases, ensuring alignment with business objectives and emerging industry trends.
Support cutting-edge AI vision and roadmap for the enterprise to make The Hartford a leader in using AI for the insurance industry.
Partner with stakeholders internal to the Data Science organization, Technology organization and business organization, aligning with business objectives and driving innovation to improve productivity and efficiency of underwriting and sales efforts.
A leader with strong architecture skills – who can conceptualize what needs to be built and then drive/contribute to the actual build.
Lead end-to-end AI projects from problem formulation to model deployment, integrated into a broader portfolio of advanced analytics.
Drive the development of state-of-the-art AI/ML models with a focus on AI, GenAI, Agent architecture-based chat solutions, Automated scenario simulation and model optimization.
Develop LLM models and data-driven solutions to optimize business processes, improve process transparency and drive data-driven decision making.
Design and conduct experiments, tests, and causal inference analysis to evaluate the effectiveness of interventions and initiatives.
Champion the integration of AI solutions within The Hartford’s AI platform to maximize reuse, scalability, and governance.
Closely work with cross-functional teams to define, prioritize, and implement features, infrastructure, processes, and workflows.
Stay up to date with the latest developments in AI, Large Language Models, Machine Learning, and related fields. Evaluate emerging technologies for potential adoption.
Support development of a high-performing enterprise AI team, fostering individual growth and technical excellence. Provide strategic AI leadership, influence stakeholders across the organization, and drive transformative AI initiatives that enhance decision-making, automation, and business impact.
Provide training and mentoring to team members on AI & GenAI technologies, agentic workflows, and implementation strategies. Share knowledge and best practices to foster a culture of innovation and continuous improvement.
Qualifications:
PhD in Computer Science, Artificial Intelligence, Machine Learning, Engineering or a related field is preferred with 4+ years of professional experience in AI with strong foundation in Machine Learning. Masters or Bachelors in Computer Science or related areas with 12+ years of industry experience would also be considered.
Ability to execute on a vision for AI initiatives and align them with business objectives. Strong understanding of AI trends and how to position AI as a strategic asset within the organization.
Experience in Data Science, Agent architecture (CrewAI, Semantic Kernel, Autogen, Prompt Flow), Large Language Models (Commercial and Open Source), LangChain, Retrieval Augmented Generation, Vector Databases, and Machine Learning models.
Proficiency in one or more general purpose programming languages like Python, Java and Machine learning libraries, e.g., PyTorch and scikit-learn.
Experience with both NoSQL and SQL database for data manipulation and querying.
Sound Knowledge of Docker, Kubernetes, Cloud based ML/LLMOps tools like SageMaker / ML Studio / Vertex AI. Experience with GCP, Cloud AI, Vertex AI, and Big Query strongly preferred.
Excellent communication and collaboration skills, with the ability to explain complex technical concepts to non-technical stakeholders across the enterprise.
Experience creating production environment data analytics and applications.
Insurance industry experience would be a plus.
Compensation
The listed annualized base pay range is primarily based on analysis of similar positions in the external market. Actual base pay could vary and may be above or below the listed range based on factors including but not limited to performance, proficiency and demonstration of competencies required for the role. The base pay is just one component of The Hartford’s total compensation package for employees. Other rewards may include short-term or annual bonuses, long-term incentives, and on-the-spot recognition. The annualized base pay range for this role is:
$138,000 - $207,000
Equal Opportunity Employer/Females/Minorities/Veterans/Disability/Sexual Orientation/Gender Identity or Expression/Religion/Age

#J-18808-Ljbffr

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