Search for remote Data Scientist roles focusing on Generative AI, preferably in the insurance industry, with a requirement of 3+ years of industry experience and a master's degree.

Okay, I've searched for remote Data Scientist roles focusing on Generative AI in the insurance industry, requiring 3+ years of experience and a master's degree. I have found 45 positions for you.

Data Scientist

Remote

Insurance

3 years + Experience

Master

Can you help me to analyze the job description and company culture?

Sure. Here's the analysis:

Job Analysis:

The role of Senior Data Scientist at The Hartford, particularly focused on Generative AI, is fundamentally oriented towards harnessing advanced AI technologies to innovate and transform the insurance industry's operational capabilities. The primary responsibilities include supporting the organization's AI innovation strategy, which involves identifying high-impact use cases and collaborating with various stakeholders to align technological solutions with business objectives. This role demands not only technical expertise in GenAI systems but also the ability to effectively communicate complex concepts to non-technical stakeholders. Potential obstacles may include constantly evolving AI tools and methodologies, requiring a proactive approach to learning and adapting. Success in this position would likely be characterized by the effective implementation of AI-driven solutions that enhance underwriting and claims processing, contributing to The Hartford's reputation as a leader in the AI space within the insurance industry. Candidates will need to navigate a combination of strategic planning, technical execution, and cross-functional collaboration to excel in this role.

Company Analysis:

The Hartford operates as a well-established player in the insurance sector, committed to extending its services beyond traditional policies to fundamentally reshape customer interactions through AI technologies. As a hybrid or remote work company, its focus on flexibility indicates a modern and progressive work culture that values output over mere presence. The company's emphasis on innovation suggests a dynamic atmosphere where team members are encouraged to contribute creatively to strategic objectives. The data scientist role fits within a broader context of continuous improvement and technology adoption, suggesting it is a growth-focused hire aimed at enhancing operational efficiencies and customer service through AI-driven insights. The culture likely values collaboration and communication, especially with the need to convey technical concepts to various stakeholders. Potential candidates should be prepared to engage in a fast-paced environment while aligning their technical skills with the company’s mission of providing tailored, data-driven solutions.

Mock up some interview questions based on the job description.

Absolutely. Here are some mock interview questions that could come up:

Tell me about a time when you had to explain a complex technical concept to a non-technical audience. How did you ensure they understood?
Describe a challenging problem you faced in a previous data science project. What steps did you take to resolve it?
Can you share an example of when you had to iterate quickly on a project? What was your approach, and what did you learn from the experience?
How do you prioritize stakeholder needs when developing data science solutions?
How would you approach developing a generative AI solution that synthesizes data from multiple sources?
What techniques would you use to evaluate the effectiveness of a generative AI model, and how would you present these findings?
Describe your experience with using GenAI tools like Vertex AI or HuggingFace in previous projects. What were the outcomes?
Imagine you are tasked with improving the speed and accuracy of claims processing with AI. What steps would you take to identify the right use cases?
Why are you interested in working for The Hartford specifically, and how do you see your role contributing to its AI strategy?
How do The Hartford's values align with your personal values and professional goals?
What questions do you have about the team you will be working with in this role?
Can you describe how you stay current with emerging trends and technologies in the AI landscape?
What challenges do you foresee in implementing generative AI solutions in a traditional industry like insurance?

Job Details

Overview Company

Senior Data Scientist

$90.16k/y-$166.08k/y

Lensa

22 days ago

Highlight

HybridFull-time3+ yearsSenior

Summary

The Hartford is seeking a GEN AI Sr Data Scientist/Data Scientist to join their team in Charlotte, NC. The role involves pioneering AI-driven solutions in underwriting, claims processing, and customer service.

About the Role

As a Data Scientist / Sr Data Scientist, you will support The Hartford’s AI innovation strategy, design and build GenAI solutions, and collaborate with various stakeholders to drive innovation and improve productivity. You will work on advanced use cases, rapidly prototype with cutting-edge tools, and develop evaluation pipelines for generative outputs.

About You

Required:

Master’s or PhD in Computer Science, Artificial Intelligence, Machine Learning, Engineering or a related field.
3+ years of industry experience in machine learning or data science with 1+ years focused on GenAI.
Proven experience in GenAI tools such as Vertex AI, LangChain, RAG frameworks, HuggingFace, OpenAI APIs.
Proficiency in Python and ML frameworks such as PyTorch, TensorFlow.
Experience with vector databases and cloud platforms such as GCP, AWS, Azure.
Strong analytical, problem solving and debugging skills.
Excellent communication and collaboration skills.
Authorization to work in the US without company sponsorship.

Benefits

Annualized base pay range of $90k–$166k.
Short-term or annual bonuses.
Long-term incentives.
On-the-spot recognition.

Lensa

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Charlotte, NC