Sr Data Scientist- Generative AI

ities 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.

Key Responsibilities:

• 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

• Design and build GenAI solutions for tasks such as summarization, prompt enhancement, classification, etc.

• Utilize technologies such as VertexAI, Google Agent Development (ADK) framework, Google Cloud Natural Language API and RAG frameworks to prototype AI solutions to solve various business problems

• Develop evaluation pipelines for GenAI solution outputs using a mixture of automatic metrics, human feedback, and LLM as a judge

• 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 - GCP preferred

• 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

Preferred Qualifications:

• Experience with commercial insurance domain and regulatory requirements

• Certification in GenAI, machine learning, or Google Cloud

• 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

Candidates 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

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/Sex/Race/Color/Veterans/Disability/Sexual Orientation/Gender Identity or Expression/Religion/Age

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